"C:\Program Files\Java\jdk1.8.0_231\bin\java.exe" "-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\lib\idea_rt.jar=53723:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.8.0_231\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\resources.jar;C:\Program Files\Java\jdk1.8.0_231\jre\lib\rt.jar;C:\Users\Aditya.Kumar1\IdeaProjects\H2OStandAlone\target\classes;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-core\3.30.1.1\h2o-core-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\openjdk\jmh\jmh-core\1.21\jmh-core-1.21.jar;C:\Users\Aditya.Kumar1\.m2\repository\net\sf\jopt-simple\jopt-simple\4.6\jopt-simple-4.6.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-logger\3.30.1.1\h2o-logger-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-webserver-iface\3.30.1.1\h2o-webserver-iface-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\commons-codec\commons-codec\1.9\commons-codec-1.9.jar;C:\Users\Aditya.Kumar1\.m2\repository\joda-time\joda-time\2.9.9\joda-time-2.9.9.jar;C:\Users\Aditya.Kumar1\.m2\repository\gov\nist\math\jama\1.0.3\jama-1.0.3.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\javassist\javassist\3.25.0-GA\javassist-3.25.0-GA.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\apache\commons\commons-math3\3.3\commons-math3-3.3.jar;C:\Users\Aditya.Kumar1\.m2\repository\commons-io\commons-io\2.4\commons-io-2.4.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\wendykierp\JTransforms\3.1\JTransforms-3.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\pl\edu\icm\JLargeArrays\1.5\JLargeArrays-1.5.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-jaas-pam\3.30.1.1\h2o-jaas-pam-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\kohsuke\libpam4j\1.8\libpam4j-1.8.jar;C:\Users\Aditya.Kumar1\.m2\repository\net\java\dev\jna\jna\4.0.0\jna-4.0.0.jar;C:\Users\Aditya.Kumar1\.m2\repository\log4j\log4j\1.2.17\log4j-1.2.17.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\google\code\gson\gson\2.6.2\gson-2.6.2.jar;C:\Users\Aditya.Kumar1\.m2\repository\commons-lang\commons-lang\2.6\commons-lang-2.6.jar;C:\Users\Aditya.Kumar1\.m2\repository\no\priv\garshol\duke\duke\1.2\duke-1.2.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-bindings\3.30.1.1\h2o-bindings-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\squareup\retrofit2\retrofit\2.8.1\retrofit-2.8.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\squareup\retrofit2\converter-gson\2.8.1\converter-gson-2.8.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\squareup\okhttp3\okhttp\4.6.0\okhttp-4.6.0.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\jetbrains\kotlin\kotlin-stdlib\1.3.71\kotlin-stdlib-1.3.71.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\jetbrains\annotations\13.0\annotations-13.0.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\squareup\okio\okio\2.6.0\okio-2.6.0.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\jetbrains\kotlin\kotlin-stdlib-common\1.3.70\kotlin-stdlib-common-1.3.70.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-app\3.30.1.1\h2o-app-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-jetty-9\3.30.1.1\h2o-jetty-9-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-server\9.4.11.v20180605\jetty-server-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\javax\servlet\javax.servlet-api\3.1.0\javax.servlet-api-3.1.0.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-http\9.4.11.v20180605\jetty-http-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-io\9.4.11.v20180605\jetty-io-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-servlets\9.4.11.v20180605\jetty-servlets-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-continuation\9.4.11.v20180605\jetty-continuation-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-util\9.4.11.v20180605\jetty-util-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-jaas\9.4.11.v20180605\jetty-jaas-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-security\9.4.11.v20180605\jetty-security-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-proxy\9.4.11.v20180605\jetty-proxy-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-client\9.4.11.v20180605\jetty-client-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-servlet\9.4.11.v20180605\jetty-servlet-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\websocket\websocket-api\9.4.11.v20180605\websocket-api-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\websocket\websocket-server\9.4.11.v20180605\websocket-server-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\websocket\websocket-common\9.4.11.v20180605\websocket-common-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\websocket\websocket-client\9.4.11.v20180605\websocket-client-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\jetty-xml\9.4.11.v20180605\jetty-xml-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\org\eclipse\jetty\websocket\websocket-servlet\9.4.11.v20180605\websocket-servlet-9.4.11.v20180605.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-algos\3.30.1.1\h2o-algos-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\core\1.1.2\core-1.1.2.jar;C:\Users\Aditya.Kumar1\.m2\repository\net\sourceforge\f2j\arpack_combined_all\0.1\arpack_combined_all-0.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_ref-osx-x86_64\1.1\netlib-native_ref-osx-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\native_ref-java\1.1\native_ref-java-1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\jniloader\1.1\jniloader-1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_ref-linux-x86_64\1.1\netlib-native_ref-linux-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_ref-win-x86_64\1.1\netlib-native_ref-win-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_ref-linux-armhf\1.1\netlib-native_ref-linux-armhf-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_system-osx-x86_64\1.1\netlib-native_system-osx-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\native_system-java\1.1\native_system-java-1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_system-linux-x86_64\1.1\netlib-native_system-linux-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_system-linux-armhf\1.1\netlib-native_system-linux-armhf-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\github\fommil\netlib\netlib-native_system-win-x86_64\1.1\netlib-native_system-win-x86_64-1.1-natives.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\googlecode\matrix-toolkits-java\mtj\1.0.4\mtj-1.0.4.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-automl\3.30.1.1\h2o-automl-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-ext-target-encoder\3.30.1.1\h2o-ext-target-encoder-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-genmodel\3.30.1.1\h2o-genmodel-3.30.1.1.jar;C:\Users\Aditya.Kumar1\.m2\repository\net\sf\opencsv\opencsv\2.3\opencsv-2.3.jar;C:\Users\Aditya.Kumar1\.m2\repository\ai\h2o\h2o-tree-api\0.3.17\h2o-tree-api-0.3.17.jar;C:\Users\Aditya.Kumar1\.m2\repository\com\squareup\okhttp\okhttp\2.0.0\okhttp-2.0.0.jar" H2OStandalone
[-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\lib\idea_rt.jar=53723:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\bin, -Dfile.encoding=UTF-8]
2020-10-09 01:36:35.492:INFO::main: Logging initialized @605ms to org.eclipse.jetty.util.log.StdErrLog
10-09 01:36:35.835 10.2.107.37:15436     13908        main  INFO water.default: ----- H2O started  -----
10-09 01:36:35.835 10.2.107.37:15436     13908        main  INFO water.default: Build git branch: rel-zeno
10-09 01:36:35.836 10.2.107.37:15436     13908        main  INFO water.default: Build git hash: 410a05b112aa3bd37202f65e5115a21f9195c85a
10-09 01:36:35.836 10.2.107.37:15436     13908        main  INFO water.default: Build git describe: jenkins-master-5140-28-g410a05b
10-09 01:36:35.836 10.2.107.37:15436     13908        main  INFO water.default: Build project version: 3.30.1.1
10-09 01:36:35.836 10.2.107.37:15436     13908        main  INFO water.default: Build age: 1 month and 28 days
10-09 01:36:35.837 10.2.107.37:15436     13908        main  INFO water.default: Built by: 'jenkins'
10-09 01:36:35.837 10.2.107.37:15436     13908        main  INFO water.default: Built on: '2020-08-10 14:33:23'
10-09 01:36:35.837 10.2.107.37:15436     13908        main  INFO water.default: Found H2O Core extensions: []
10-09 01:36:35.838 10.2.107.37:15436     13908        main  INFO water.default: Processed H2O arguments: [-log_level, ALL, -name, _PB_STP_CLUSTER_, -port, 15436, -log_dir, C:\Users\Aditya.Kumar1\IdeaProjects\H2OStandAlone/]
10-09 01:36:35.838 10.2.107.37:15436     13908        main  INFO water.default: Java availableProcessors: 4
10-09 01:36:35.838 10.2.107.37:15436     13908        main  INFO water.default: Java heap totalMemory: 245.5 MB
10-09 01:36:35.838 10.2.107.37:15436     13908        main  INFO water.default: Java heap maxMemory: 3.56 GB
10-09 01:36:35.839 10.2.107.37:15436     13908        main  INFO water.default: Java version: Java 1.8.0_231 (from Oracle Corporation)
10-09 01:36:35.839 10.2.107.37:15436     13908        main  INFO water.default: JVM launch parameters: [-javaagent:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\lib\idea_rt.jar=53723:C:\Program Files\JetBrains\IntelliJ IDEA Community Edition 2020.2.3\bin, -Dfile.encoding=UTF-8]
10-09 01:36:35.839 10.2.107.37:15436     13908        main  INFO water.default: JVM process id: 13908@Analytics2016
10-09 01:36:35.839 10.2.107.37:15436     13908        main  INFO water.default: OS version: Windows Server 2016 10.0 (amd64)
10-09 01:36:35.840 10.2.107.37:15436     13908        main  INFO water.default: Machine physical memory: 16.00 GB
10-09 01:36:35.840 10.2.107.37:15436     13908        main  INFO water.default: Machine locale: en_US
10-09 01:36:35.840 10.2.107.37:15436     13908        main  INFO water.default: X-h2o-cluster-id: 1602221795184
10-09 01:36:35.841 10.2.107.37:15436     13908        main  INFO water.default: User name: 'Aditya.Kumar1'
10-09 01:36:35.841 10.2.107.37:15436     13908        main  INFO water.default: IPv6 stack selected: false
10-09 01:36:35.841 10.2.107.37:15436     13908        main  INFO water.default: Possible IP Address: lo (Software Loopback Interface 1), 127.0.0.1
10-09 01:36:35.841 10.2.107.37:15436     13908        main  INFO water.default: Possible IP Address: lo (Software Loopback Interface 1), 0:0:0:0:0:0:0:1
10-09 01:36:35.842 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:net0 (Microsoft ISATAP Adapter #2)
10-09 01:36:35.842 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:net1 (Teredo Tunneling Pseudo-Interface)
10-09 01:36:35.842 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:eth0 (Microsoft Kernel Debug Network Adapter)
10-09 01:36:35.843 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:net2 (Microsoft ISATAP Adapter)
10-09 01:36:35.843 10.2.107.37:15436     13908        main  INFO water.default: Possible IP Address: eth1 (Intel(R) 82574L Gigabit Network Connection), 10.2.107.37
10-09 01:36:35.843 10.2.107.37:15436     13908        main  INFO water.default: Possible IP Address: eth1 (Intel(R) 82574L Gigabit Network Connection), fe80:0:0:0:e11c:8963:1cc6:ece8%eth1
10-09 01:36:35.843 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:eth2 (Intel(R) 82574L Gigabit Network Connection-WFP Native MAC Layer LightWeight Filter-0000)
10-09 01:36:35.844 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:eth3 (Intel(R) 82574L Gigabit Network Connection-QoS Packet Scheduler-0000)
10-09 01:36:35.844 10.2.107.37:15436     13908        main  INFO water.default: Network interface is down: name:eth4 (Intel(R) 82574L Gigabit Network Connection-WFP 802.3 MAC Layer LightWeight Filter-0000)
10-09 01:36:35.845 10.2.107.37:15436     13908        main  INFO water.default: H2O node running in unencrypted mode.
10-09 01:36:35.846 10.2.107.37:15436     13908        main  INFO water.default: Internal communication uses port: 15437
10-09 01:36:35.847 10.2.107.37:15436     13908        main  INFO water.default: Listening for HTTP and REST traffic on http://10.2.107.37:15436/
10-09 01:36:35.863 10.2.107.37:15436     13908        main  INFO water.default: H2O cloud name: '_PB_STP_CLUSTER_' on /10.2.107.37:15436, static configuration based on -flatfile null
10-09 01:36:35.863 10.2.107.37:15436     13908        main  INFO water.default: If you have trouble connecting, try SSH tunneling from your local machine (e.g., via port 55555):
10-09 01:36:35.864 10.2.107.37:15436     13908        main  INFO water.default:   1. Open a terminal and run 'ssh -L 55555:localhost:15436 Aditya.Kumar1@10.2.107.37'
10-09 01:36:35.864 10.2.107.37:15436     13908        main  INFO water.default:   2. Point your browser to http://localhost:55555
10-09 01:36:35.883 10.2.107.37:15436     13908        main  INFO water.default: Log dir: 'C:\Users\Aditya.Kumar1\IdeaProjects\H2OStandAlone'
10-09 01:36:35.884 10.2.107.37:15436     13908        main  INFO water.default: Cur dir: 'C:\Users\Aditya.Kumar1\IdeaProjects\H2OStandAlone'
10-09 01:36:35.892 10.2.107.37:15436     13908        main  INFO water.default: Distributed HTTP import not available (import from HTTP/HTTPS will be eager)
10-09 01:36:35.893 10.2.107.37:15436     13908        main  INFO water.default: HDFS subsystem not available
10-09 01:36:35.893 10.2.107.37:15436     13908        main  INFO water.default: S3 subsystem not available
10-09 01:36:35.893 10.2.107.37:15436     13908        main  INFO water.default: GCS subsystem not available
10-09 01:36:35.894 10.2.107.37:15436     13908        main  INFO water.default: Flow dir: 'C:/Users/Aditya.Kumar1/h2oflows'
10-09 01:36:35.950 10.2.107.37:15436     13908        main  INFO water.default: Cloud of size 1 formed [/10.2.107.37:15436]
10-09 01:36:35.962 10.2.107.37:15436     13908        main  INFO water.default: Registered parsers: [GUESS, ARFF, XLS, SVMLight, CSV]
10-09 01:36:35.963 10.2.107.37:15436     13908        main  INFO water.default: Registered 0 core extensions in: 0ms
10-09 01:36:35.963 10.2.107.37:15436     13908        main  INFO water.default: Registered H2O core extensions: []
10-09 01:36:36.548 10.2.107.37:15436     13908        main  INFO water.default: Registered: 203 REST APIs in: 585ms
10-09 01:36:36.548 10.2.107.37:15436     13908        main  INFO water.default: Registered REST API extensions: [Algos, AutoML, Core V3, Core V4, TargetEncoder]
10-09 01:36:36.684 10.2.107.37:15436     13908        main  INFO water.default: Registered: 278 schemas in 136ms
10-09 01:36:36.684 10.2.107.37:15436     13908        main  INFO water.default: H2O started in 1490ms
10-09 01:36:36.684 10.2.107.37:15436     13908        main  INFO water.default: 
10-09 01:36:36.685 10.2.107.37:15436     13908        main  INFO water.default: Open H2O Flow in your web browser: http://10.2.107.37:15436
10-09 01:36:36.685 10.2.107.37:15436     13908        main  INFO water.default: 
Analytics Engine Started in [0] ms
10-09 01:36:37.127 10.2.107.37:15436     13908  4556038-18  INFO water.default: GET /3/InitID, parms: {}
10-09 01:36:37.131 10.2.107.37:15436     13908  4556038-18  INFO water.default: Locking cloud to new members, because water.api.schemas3.InitIDV3
10-09 01:36:37.191 10.2.107.37:15436     13908  4556038-13  INFO water.default: POST /3/ImportFiles, parms: {path=C:\SampleDataSets\DirectBankUSAx.csv}
import: {"path":"C:\\SampleDataSets\\DirectBankUSAx.csv","files":["C:\\SampleDataSets\\DirectBankUSAx.csv"],"destination_frames":["nfs:\\C:\\SampleDataSets\\DirectBankUSAx.csv"],"fails":[],"dels":[],"_exclude_fields":""}
10-09 01:36:37.269 10.2.107.37:15436     13908  4556038-15  INFO water.default: POST /3/ParseSetup, parms: {source_frames=nfs:\C:\SampleDataSets\DirectBankUSAx.csv}
10-09 01:36:38.287 10.2.107.37:15436     13908  4556038-15  INFO water.default: ParseSetup heuristic: cloudSize: 1, cores: 4, numCols: 41, maxLineLength: 189, totalSize: 16930596, localParseSize: 16930596, chunkSize: 1058304, numChunks: 15, numChunks * cols: 615
parseSetupBody: {"source_frames":[{"name":"nfs:\\C:\\SampleDataSets\\DirectBankUSAx.csv","type":"Key\u003cFrame\u003e","URL":"/3/Frames/nfs:\\C:\\SampleDataSets\\DirectBankUSAx.csv"}],"parse_type":"CSV","separator":44,"single_quotes":false,"check_header":1,"column_names":["CustomerNumber","HomePostCode","BranchPostCode","StateCode","BankHeadOffice","Age","Gender","NumberOfDependants","MaritalStatus","MatrimonialDisputes","Income","HomeOwner","TimeAtAddressMonths","LoanAmount","LoanStatus","CurrentBalance","PaymentAmtQtr1","PaymentAmtQtr2","PaymentAmtQtr3","PaymentAmtQtr4","PaymentAmtQtr5","RemainingTermMonths","PenaltyInterest","DefaultDate","MonthsInArrears","CardVisa","CardMC","CardAmex","CallsPerMonth","ThreeMonthSwing","ThreeMonthTrend","RespondPress","TrialTarget","TrialMailing","TrialRespond","WestCoaster","TrialScore","TrialPropensity","RolloutTarget","RolloutMailing","RolloutResponse"],"column_types":["Numeric","Enum","Enum","Enum","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric"],"column_offset":0,"column_count":0,"destination_frame":"DirectBankUSAx.hex","header_lines":0,"number_columns":41,"data":[["1","L32 1TB","WA1  1XQ","PA011","IL","36","1","3","3","0","25300","0","8","11800","0","4512.42","48.4","48.4","48.89","47.22","48.64","168","1","","0","0","0","0","0","2139.91","37.8971","0","0","1","0","0","430.106","0.0814853","0","0","0"],["2","L32 1TB","WA1  1XQ","PA095","CA","36","1","3","3","0","39681","0","8","11800","0","1699.42","48.4","48.4","48.89","47.22","48.64","168","1","","0","0","1","1","0","5734","2912.7","0","1","0","0","0","411.847","0.044996","0","0","0"],["11","DL13 4AA","DL14 7NN","WV045","NY","40","1","2","3","0","21443","1","18","5800","0","765.68","68.2","68.2","68.89","66.54","68.54","72","1","","0","0","0","0","7","1469.13","-381.349","0","0","0","0","0","421.885","0.0625464","0","0","0"],["18","DL13 4AA","DL14 7NN","WV101","CA","40","1","2","3","0","27999","0","18","5800","0","3843.66","68.2","68.2","68.89","66.54","68.54","72","1","","0","0","1","0","5","2683.15","419.875","0","0","0","0","0","440.968","0.114467","0","0","0"],["20","DH4 7BA","DH1  3ND","CO113","FL","42","1","0","2","0","43245","2","7","5000","0","3805","19","19","19.19","18.54","19.1","289","1","","0","0","1","0","0","6891.33","3945.1","0","1","1","0","0","411.193","0.0440311","0","0","0"],["24","CF2","CF4  5ZY","NE017","NY","24","2","0","1","0","16943","0","5","10000","0","9631.24","33.4","33.4","33.74","32.59","33.57","288","1","","0","0","0","0","4","843.114","-682.563","0","1","0","0","0","413.049","0.0468199","0","0","0"],["34","SS8","SS5  6EU","ND069","CA","30","1","2","3","0","23922","0","0","17000","0","2717.82","56.8","56.8","57.37","55.41","57.09","48","1","","0","0","0","0","1","1886.02","-128.972","0","0","0","0","0","419.648","0.0581527","0","0","0"],["40","SS8","SS5  6EU","ND069","CA","30","1","2","3","0","28564","3","0","17000","2","0","56.8","56.8","57.37","55.41","57.09","288","1","18-07-1994","0","1","0","0","0","1614.3","-919.238","0","0","0","0","0","427.272","0.0744305","0","0","0"],["47","DE22 1GN","DE21 9NT","IN099","FL","27","1","1","6","0","11515","1","0","13500","0","8000","27.2","23.2","25.45","24.59","25.33","289","1","","0","0","1","0","0","312.599","-776.382","0","0","0","0","0","399.329","0.0296274","0","0","0"]],"chunk_size":1058304,"total_filtered_column_count":41,"_exclude_fields":""}
10-09 01:36:38.377 10.2.107.37:15436     13908  4556038-17  INFO water.default: POST /3/Parse, parms: {number_columns=41, source_frames=nfs:\C:\SampleDataSets\DirectBankUSAx.csv, column_types=["Numeric","Enum","Enum","Enum","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric"], single_quotes=false, parse_type=CSV, destination_frame=AdityaGLMLogistic.data, column_names=["CustomerNumber","HomePostCode","BranchPostCode","StateCode","BankHeadOffice","Age","Gender","NumberOfDependants","MaritalStatus","MatrimonialDisputes","Income","HomeOwner","TimeAtAddressMonths","LoanAmount","LoanStatus","CurrentBalance","PaymentAmtQtr1","PaymentAmtQtr2","PaymentAmtQtr3","PaymentAmtQtr4","PaymentAmtQtr5","RemainingTermMonths","PenaltyInterest","DefaultDate","MonthsInArrears","CardVisa","CardMC","CardAmex","CallsPerMonth","ThreeMonthSwing","ThreeMonthTrend","RespondPress","TrialTarget","TrialMailing","TrialRespond","WestCoaster","TrialScore","TrialPropensity","RolloutTarget","RolloutMailing","RolloutResponse"], delete_on_done=false, _exclude_fields=, check_header=1, separator=44, blocking=true, chunk_size=1058304}
10-09 01:36:38.451 10.2.107.37:15436     13908  4556038-17  INFO water.default: Total file size: 16.1 MB
10-09 01:36:38.536 10.2.107.37:15436     13908  4556038-17  INFO water.default: Parse chunk size 1058304
10-09 01:36:38.576 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Key nfs:\C:\SampleDataSets\DirectBankUSAx.csv will be parsed using method DistributedParse.
10-09 01:36:39.892 10.2.107.37:15436     13908      FJ-1-7  INFO water.default: Parse result for AdityaGLMLogistic.data (100000 rows, 41 columns):
10-09 01:36:40.199 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:                ColV2    type          min          max         mean        sigma         NAs constant cardinality
10-09 01:36:40.199 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:       CustomerNumber: numeric      1.00000       550862       275510       159313                            
10-09 01:36:40.200 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:         HomePostCode:  factor     ********      \14 7TH                                   194           27312
10-09 01:36:40.200 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:       BranchPostCode:  factor     AB9  1BE     YO8  0NX                                    46             378
10-09 01:36:40.200 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:            StateCode:  factor        11001        WY045                                                  2935
10-09 01:36:40.201 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:       BankHeadOffice:  factor           CA           NY                                   208               4
10-09 01:36:40.201 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:                  Age: numeric     -1.00000      94.0000      38.0920      9.64981                            
10-09 01:36:40.201 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:               Gender: numeric      1.00000      2.00000      1.17219     0.377547                            
10-09 01:36:40.202 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:   NumberOfDependants: numeric      0.00000      30.0000      1.04460      1.19198                            
10-09 01:36:40.202 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:        MaritalStatus: numeric      1.00000      9.00000      2.78697      1.55614                            
10-09 01:36:40.202 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:  MatrimonialDisputes: numeric      0.00000      1.00000    0.0202600     0.140889                            
10-09 01:36:40.203 10.2.107.37:15436     13908      FJ-1-7  INFO water.default: Additional column information only sent to log file...
10-09 01:36:40.204 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:         RespondPress: numeric      0.00000      1.00000    0.0582600     0.234236                            
10-09 01:36:40.205 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          TrialTarget: numeric      0.00000      1.00000     0.308780     0.461992                            
10-09 01:36:40.205 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:         TrialMailing: numeric      0.00000      1.00000     0.189480     0.391891                            
10-09 01:36:40.205 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:         TrialRespond: numeric      0.00000      1.00000    0.0178400     0.132370                            
10-09 01:36:40.205 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          WestCoaster: numeric      0.00000      1.00000    0.0552700     0.228508                            
10-09 01:36:40.205 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:           TrialScore: numeric      384.844      505.324      432.272      19.5647                            
10-09 01:36:40.206 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:      TrialPropensity: numeric    0.0181457     0.545998     0.102585    0.0652135                            
10-09 01:36:40.206 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:        RolloutTarget: numeric      0.00000      1.00000     0.199770     0.399829                            
10-09 01:36:40.206 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:       RolloutMailing: numeric      0.00000      1.00000     0.166720     0.372728                            
10-09 01:36:40.206 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:      RolloutResponse: numeric      0.00000      1.00000    0.0338300     0.180792                            
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default: Chunk compression summary:
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:   Chunk Type                 Chunk Name       Count  Count Percentage        Size  Size Percentage
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C0L              Constant long          16           2.439 %      1.3 KB          0.018 %
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          CBS                     Binary         112          17.073 %     93.2 KB          1.304 %
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          CXI            Sparse Integers         128          19.512 %     73.5 KB          1.029 %
10-09 01:36:40.220 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:           C1            1-Byte Integers          16           2.439 %     98.7 KB          1.382 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C1N  1-Byte Integers (w/o NAs)         109          16.616 %    672.7 KB          9.418 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C1S           1-Byte Fractions           3           0.457 %     18.4 KB          0.258 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:           C2            2-Byte Integers          64           9.756 %    785.5 KB         10.998 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C2S           2-Byte Fractions          17           2.591 %    208.9 KB          2.924 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:           C4            4-Byte Integers          19           2.896 %    464.6 KB          6.505 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C4S           4-Byte Fractions         151          23.018 %      3.6 MB         51.803 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:          C8D               64-bit Reals          21           3.201 %      1.0 MB         14.361 %
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default: Frame distribution summary:
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:                          Size  Number of Rows  Number of Chunks per Column  Number of Chunks
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default: 10.2.107.37:15436      7.0 MB          100000                           16               656
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:              mean      7.0 MB   100000.000000                    16.000000        656.000000
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:               min      7.0 MB   100000.000000                    16.000000        656.000000
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:               max      7.0 MB   100000.000000                    16.000000        656.000000
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:            stddev        0  B        0.000000                     0.000000          0.000000
10-09 01:36:40.221 10.2.107.37:15436     13908      FJ-1-7  INFO water.default:             total      7.0 MB          100000                           16               656
parseBody: {"destination_frame":{"name":"AdityaGLMLogistic.data","type":"Key\u003cFrame\u003e","URL":"/3/Frames/AdityaGLMLogistic.data"},"source_frames":[{"name":"nfs:\\C:\\SampleDataSets\\DirectBankUSAx.csv","type":"Key\u003cFrame\u003e","URL":"/3/Frames/nfs:\\C:\\SampleDataSets\\DirectBankUSAx.csv"}],"parse_type":"CSV","separator":44,"single_quotes":false,"check_header":1,"number_columns":41,"column_names":["CustomerNumber","HomePostCode","BranchPostCode","StateCode","BankHeadOffice","Age","Gender","NumberOfDependants","MaritalStatus","MatrimonialDisputes","Income","HomeOwner","TimeAtAddressMonths","LoanAmount","LoanStatus","CurrentBalance","PaymentAmtQtr1","PaymentAmtQtr2","PaymentAmtQtr3","PaymentAmtQtr4","PaymentAmtQtr5","RemainingTermMonths","PenaltyInterest","DefaultDate","MonthsInArrears","CardVisa","CardMC","CardAmex","CallsPerMonth","ThreeMonthSwing","ThreeMonthTrend","RespondPress","TrialTarget","TrialMailing","TrialRespond","WestCoaster","TrialScore","TrialPropensity","RolloutTarget","RolloutMailing","RolloutResponse"],"column_types":["Numeric","Enum","Enum","Enum","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Enum","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric","Numeric"],"chunk_size":1058304,"delete_on_done":false,"blocking":true,"job":{"key":{"name":"$03010a026b254d3cffffffff$_b6d06dcb5179b7e1ae13903966374d73","type":"Key\u003cJob\u003e","URL":"/3/Jobs/$03010a026b254d3cffffffff$_b6d06dcb5179b7e1ae13903966374d73"},"description":"Parse","status":"DONE","progress":1.0,"progress_msg":"Done.","start_time":1602221798544,"msec":1678,"dest":{"name":"AdityaGLMLogistic.data","type":"Key\u003cFrame\u003e","URL":"/3/Frames/AdityaGLMLogistic.data"},"ready_for_view":true},"rows":100000,"_exclude_fields":""}
10-09 01:36:40.245 10.2.107.37:15436     13908  4556038-15  INFO water.default: POST /99/Rapids, parms: {ast=(,   (tmp= tmp_c491ce44-eda2-4284-9b24-b5d47ab04f44 (h2o.runif AdityaGLMLogistic.data 17706))  (assign AdityaGLMLogistic.train    (rows AdityaGLMLogistic.data (<= tmp_c491ce44-eda2-4284-9b24-b5d47ab04f44 0.70)))  (assign AdityaGLMLogistic.validation    (rows AdityaGLMLogistic.data (> tmp_c491ce44-eda2-4284-9b24-b5d47ab04f44 0.70)))  (rm tmp_c491ce44-eda2-4284-9b24-b5d47ab04f44)), _exclude_fields=, session_id=_sid_9a35, id=}
Split data into train and test
About to train GLM. . .
10-09 01:36:40.966 10.2.107.37:15436     13908  4556038-17  INFO water.default: POST /3/ModelBuilders/glm, parms: {keep_cross_validation_fold_assignment=false, nfolds=5, training_frame=AdityaGLMLogistic.train, tweedie_variance_power=0.0, quantile_alpha=0.5, compute_p_values=false, remove_collinear_columns=false, validation_frame=AdityaGLMLogistic.validation, link=logit, max_categorical_levels=10, family=binomial, max_confusion_matrix_size=20, custom_metric_func=, max_active_predictors=500, stopping_tolerance=0.001, lambda_search=false, calc_like=false, standardize=true, theta=1.0E-10, categorical_encoding=AUTO, keep_cross_validation_models=true, non_negative=false, solver=IRLSM, max_iterations=700, export_checkpoints_dir=, seed=15341, missing_values_handling=MeanImputation, max_hit_ratio_k=0, huber_alpha=0.9, beta_epsilon=1.0E-4, score_each_iteration=false, max_runtime_secs=0.0, custom_distribution_func=, prior=-1.0, tweedie_power=1.5, response_column=TrialRespond, obj_reg=-1.0, early_stopping=true, parallelize_cross_validation=true, objective_epsilon=0.43, stopping_metric=AUTO, HGLM=false, score_iteration_interval=-1, gradient_epsilon=-1.0, ignore_const_cols=true, intercept=true, model_id=AdityaGLMLogistic, fold_assignment=AUTO, alpha=1.0, distribution=AUTO, max_after_balance_size=5.0, balance_classes=false, stopping_rounds=0, nlambdas=-1, keep_cross_validation_predictions=false, gainslift_bins=-1, lambda=0.01, tweedie_link_power=1.0, lambda_min_ratio=-1.0}
10-09 01:36:41.172 10.2.107.37:15436     13908  4556038-17  WARN water.default: _train: Dropping bad and constant columns: [PenaltyInterest]
10-09 01:36:41.185 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building H2O GLM model with these parameters:
glmBody: {"parameters":{"seed":15341,"family":"binomial","tweedie_variance_power":0.0,"tweedie_link_power":1.0,"theta":1.0E-10,"solver":"IRLSM","alpha":[1.0],"lambda":[0.01],"lambda_search":false,"early_stopping":true,"nlambdas":-1,"score_iteration_interval":-1,"standardize":true,"missing_values_handling":"MeanImputation","non_negative":false,"max_iterations":700,"beta_epsilon":1.0E-4,"objective_epsilon":0.43,"gradient_epsilon":-1.0,"obj_reg":-1.0,"link":"logit","calc_like":false,"intercept":true,"HGLM":false,"prior":-1.0,"lambda_min_ratio":-1.0,"max_active_predictors":500,"balance_classes":false,"max_after_balance_size":5.0,"max_confusion_matrix_size":20,"max_hit_ratio_k":0,"compute_p_values":false,"remove_collinear_columns":false,"model_id":{"name":"AdityaGLMLogistic","type":"Key\u003cModel\u003e","URL":"/3/Models/AdityaGLMLogistic"},"training_frame":{"name":"AdityaGLMLogistic.train","type":"Key\u003cFrame\u003e","URL":"/3/Frames/AdityaGLMLogistic.train"},"validation_frame":{"name":"AdityaGLMLogistic.validation","type":"Key\u003cFrame\u003e","URL":"/3/Frames/AdityaGLMLogistic.validation"},"nfolds":5,"keep_cross_validation_models":true,"keep_cross_validation_predictions":false,"keep_cross_validation_fold_assignment":false,"parallelize_cross_validation":true,"distribution":"AUTO","tweedie_power":1.5,"quantile_alpha":0.5,"huber_alpha":0.9,"response_column":{"column_name":"TrialRespond"},"fold_assignment":"AUTO","categorical_encoding":"AUTO","max_categorical_levels":10,"ignore_const_cols":true,"score_each_iteration":false,"stopping_rounds":0,"max_runtime_secs":0.0,"stopping_metric":"AUTO","stopping_tolerance":0.001,"gainslift_bins":-1,"custom_metric_func":"","custom_distribution_func":"","export_checkpoints_dir":""},"algo":"glm","algo_full_name":"Generalized Linear Modeling","can_build":["Regression","Binomial"],"supervised":true,"job":{"key":{"name":"$03010a026b254d3cffffffff$_8827e848e1176b142dc5b379f690443d","type":"Key\u003cJob\u003e","URL":"/3/Jobs/$03010a026b254d3cffffffff$_8827e848e1176b142dc5b379f690443d"},"description":"GLM","status":"RUNNING","progress":0.0,"start_time":1602221801184,"msec":1,"dest":{"name":"AdityaGLMLogistic","type":"Key\u003cModel\u003e","URL":"/3/Models/AdityaGLMLogistic"},"ready_for_view":true},"messages":[{"message_type":"TRACE","field_name":"fold_column","message":"Fold column is ignored when nfolds \u003e 1."},{"message_type":"TRACE","field_name":"tweedie_power","message":"Only for Tweedie Distribution."},{"message_type":"WARN","field_name":"train","message":"Dropping bad and constant columns: [PenaltyInterest]"},{"message_type":"TRACE","field_name":"tweedie_power","message":"Tweedie power is only used for Tweedie distribution."},{"message_type":"TRACE","field_name":"quantile_alpha","message":"Quantile (alpha) is only used for Quantile regression."},{"message_type":"TRACE","field_name":"max_after_balance_size","message":"Balance classes is false, hide max_after_balance_size"},{"message_type":"TRACE","field_name":"max_hit_ratio_k","message":"Max K-value for hit ratio is only applicable to multi-class classification problems."},{"message_type":"TRACE","field_name":"max_confusion_matrix_size","message":"Only for multi-class classification problems."},{"message_type":"TRACE","field_name":"max_after_balance_size","message":"Only used with balanced classes"},{"message_type":"TRACE","field_name":"class_sampling_factors","message":"Class sampling factors is only applicable if balancing classes."},{"message_type":"TRACE","field_name":"balance_classes","message":"Not applicable since class balancing is not required for GLM."},{"message_type":"TRACE","field_name":"max_after_balance_size","message":"Not applicable since class balancing is not required for GLM."},{"message_type":"TRACE","field_name":"class_sampling_factors","message":"Not applicable since class balancing is not required for GLM."},{"message_type":"TRACE","field_name":"tweedie_variance_power","message":"Only applicable with Tweedie family"},{"message_type":"TRACE","field_name":"tweedie_link_power","message":"Only applicable with Tweedie family"},{"message_type":"TRACE","field_name":"theta","message":"Only applicable with Negative Binomial family"},{"message_type":"TRACE","field_name":"lambda_min_ratio","message":"only applies if lambda search is on."},{"message_type":"TRACE","field_name":"nlambdas","message":"only applies if lambda search is on."},{"message_type":"TRACE","field_name":"early_stopping","message":"only applies if lambda search is on."}],"error_count":0,"__http_status":0}
10-09 01:36:41.223 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: {"_train":{"name":"AdityaGLMLogistic.train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic.validation","type":"Key"},"_nfolds":5,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":null,"_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":false,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":-1.0,"_use_all_factor_levels":false,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":-1.0,"_obj_reg":-1.0,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:41.224 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:41.224 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:41.591 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model AdityaGLMLogistic
10-09 01:36:41.631 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Creating 5 cross-validation splits with random number seed: 15341
10-09 01:36:41.807 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building cross-validation model 1 / 5.
10-09 01:36:41.813 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Building H2O GLM model with these parameters:
10-09 01:36:41.814 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: {"_train":{"name":"AdityaGLMLogistic_cv_1_train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic_cv_1_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":"__internal_cv_weights__","_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":true,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":0.01,"_use_all_factor_levels":true,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":1.0E-4,"_obj_reg":1.4293065004859643E-5,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:41.815 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:41.815 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:42.042 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55960 nobs out of 69964 total
10-09 01:36:42.093 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Starting model AdityaGLMLogistic_cv_1
10-09 01:36:42.128 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=0 lmb=.1E-1 obj=0.07048 imp=.1E1 bdf=.4E1] Got 0 active columns out of 31102 total
10-09 01:36:42.181 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=0 lmb=.1E-1 obj=0.07048 imp=.1E1 bdf=.4E1] computed in 48+4=52ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18
10-09 01:36:42.210 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=1 lmb=.1E-1 obj=0.07048 imp=.17E-4 bdf=.13E-1] relImprovement < eps; relImprovement = 1.7127382120541772E-5, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:42.240 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: 3 variables failed KKT conditions, adding them to the model and recomputing.
10-09 01:36:42.240 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=1 lmb=.1E-1 obj=0.07048 imp=.17E-4 bdf=.13E-1] Got 3 active columns out of 31102 total
10-09 01:36:42.283 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=1 lmb=.1E-1 obj=0.07048 imp=.17E-4 bdf=.13E-1] computed in 43+0=43ms, step = 1, l1solver iter = 13, gerr = 7.631134663463944E-5
10-09 01:36:42.288 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] relImprovement < eps; relImprovement = 0.017647997462284654, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:42.313 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] solution has 3 nonzeros
10-09 01:36:42.316 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Scoring after 503ms
10-09 01:36:42.663 10.2.107.37:15436     13908      FJ-3-1  INFO water.default: Starting model Quantiles_model_1602221795184_1
10-09 01:36:42.888 10.2.107.37:15436     13908      FJ-3-1  INFO water.default: Completing model Quantiles_model_1602221795184_1
10-09 01:36:42.967 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Model Metrics Type: BinomialGLM
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  Description: N/A
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  model id: AdityaGLMLogistic_cv_1
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  frame id: AdityaGLMLogistic_cv_1_train
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  MSE: 0.016664518
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  RMSE: 0.12909113
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  AUC: 0.8200086
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  pr_auc: 0.07994653
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  logloss: 0.07709674
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  mean_per_class_error: 0.27103835
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  default threshold: 0.0547693632543087
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:             0     1   Error            Rate
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      0  49663  5318  0.0967  5,318 / 54,981
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      1    436   543  0.4454       436 / 979
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Totals  50099  5861  0.1028  5,754 / 55,960
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Gains/Lift Table (Avg response rate:  1.75 %, avg score:  2.40 %):
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       1                0.01002502         0.131636  7.030420         7.030420       0.122995  0.227161                  0.122995          0.227161      0.070480                 0.070480  603.041956       603.041956            0.061532
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       2                0.02010365         0.099170  3.040445         5.030112       0.053191  0.111222                  0.088000          0.169037      0.030644                 0.101124  204.044509       403.011236            0.082463
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       3                0.03021801         0.086439  3.736632         4.597167       0.065371  0.092310                  0.080426          0.143356      0.037794                 0.138917  273.663181       359.716736            0.110635
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       4                0.04029664         0.078970  6.182238         4.993611       0.108156  0.082886                  0.087361          0.128232      0.062308                 0.201226  518.223835       399.361084            0.163795
10-09 01:36:42.968 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       5                0.05069693         0.074329  5.696394         5.137784       0.099656  0.076080                  0.089884          0.117533      0.059244                 0.260470  469.639403       413.778420            0.213508
10-09 01:36:42.969 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       6                0.10001787         0.056377  5.405383         5.269743       0.094565  0.065584                  0.092192          0.091916      0.266599                 0.527068  440.538260       426.974267            0.434655
10-09 01:36:42.969 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       7                0.15209078         0.039835  3.138524         4.540055       0.054907  0.047210                  0.079427          0.076610      0.163432                 0.690501  213.852397       354.005506            0.547997
10-09 01:36:42.986 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       8                0.20012509         0.029959  0.829336         3.649403       0.014509  0.036342                  0.063845          0.066944      0.039837                 0.730337  -17.066431       264.940289            0.539653
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       9                0.30001787         0.017347  0.603303         2.635185       0.010555  0.020195                  0.046102          0.051379      0.060266                 0.790603  -39.669737       163.518522            0.499320
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      10                0.40000000         0.015285  0.592547         2.124617       0.010366  0.016430                  0.037169          0.042643      0.059244                 0.849847  -40.745285       112.461696            0.457857
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      11                0.50053610         0.014023  0.375921         1.773379       0.006577  0.014636                  0.031025          0.037018      0.037794                 0.887640  -62.407863        77.337949            0.393997
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      12                0.60312723         0.012492  0.288739         1.520844       0.005051  0.013186                  0.026607          0.032964      0.029622                 0.917263  -71.126099        52.084413            0.319729
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      13                0.70001787         0.011566  0.263558         1.346821       0.004611  0.012035                  0.023562          0.030067      0.025536                 0.942799  -73.644242        34.682101            0.247104
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      14                0.80073267         0.010169  0.263692         1.210587       0.004613  0.010739                  0.021179          0.027636      0.026558                 0.969356  -73.630774        21.058691            0.171626
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      15                0.90153681         0.009358  0.222926         1.100153       0.003900  0.009736                  0.019247          0.025635      0.022472                 0.991828  -77.707355        10.015296            0.091899
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      16                1.00000000         0.008178  0.082991         1.000000       0.001452  0.008984                  0.017495          0.023995      0.008172                 1.000000  -91.700854         0.000000            0.000000
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null DOF: 55959.0
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual DOF: 55957.0
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null deviance: 9862.567
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual deviance: 8628.667
10-09 01:36:42.987 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Training metrics computed in 637ms
10-09 01:36:43.057 10.2.107.37:15436     13908      FJ-3-3  INFO water.default: Starting model Quantiles_model_1602221795184_2
10-09 01:36:43.169 10.2.107.37:15436     13908      FJ-3-3  INFO water.default: Completing model Quantiles_model_1602221795184_2
10-09 01:36:43.229 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Completing model AdityaGLMLogistic_cv_1
10-09 01:36:43.229 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building cross-validation model 2 / 5.
10-09 01:36:43.229 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Building H2O GLM model with these parameters:
10-09 01:36:43.229 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: {"_train":{"name":"AdityaGLMLogistic_cv_2_train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic_cv_2_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":"__internal_cv_weights__","_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":true,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":0.01,"_use_all_factor_levels":true,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":1.0E-4,"_obj_reg":1.4293065004859643E-5,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:43.230 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:43.230 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:43.254 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55953 nobs out of 69964 total
10-09 01:36:43.281 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Starting model AdityaGLMLogistic_cv_2
10-09 01:36:43.307 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=0 lmb=.1E-1 obj=0.07197 imp=.1E1 bdf=.4E1] Got 1 active columns out of 31102 total
10-09 01:36:43.314 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=0 lmb=.1E-1 obj=0.07197 imp=.1E1 bdf=.4E1] computed in 6+0=6ms, step = 1, l1solver iter = 10, gerr = 5.9305485090367264E-5
10-09 01:36:43.319 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] relImprovement < eps; relImprovement = 0.006491537885189376, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:43.331 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] solution has 2 nonzeros
10-09 01:36:43.332 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Scoring after 103ms
10-09 01:36:43.419 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Starting model Quantiles_model_1602221795184_3
10-09 01:36:43.452 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Completing model Quantiles_model_1602221795184_3
10-09 01:36:43.480 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Model Metrics Type: BinomialGLM
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  Description: N/A
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  model id: AdityaGLMLogistic_cv_2
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  frame id: AdityaGLMLogistic_cv_2_train
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  MSE: 0.017639816
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  RMSE: 0.13281497
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  AUC: 0.82593673
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  pr_auc: 0.082198545
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  logloss: 0.08010153
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  mean_per_class_error: 0.26028833
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  default threshold: 0.04503282159566879
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:             0     1   Error            Rate
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      0  49088  5860  0.1066  5,860 / 54,948
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      1    416   589  0.4139     416 / 1,005
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Totals  49504  6449  0.1122  6,276 / 55,953
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Gains/Lift Table (Avg response rate:  1.80 %, avg score:  2.56 %):
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       1                0.01006202         0.169077  6.724466         6.724466       0.120782  0.346745                  0.120782          0.346745      0.067662                 0.067662  572.446648       572.446648            0.058653
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       2                0.02010616         0.114115  3.269151         4.998344       0.058719  0.133422                  0.089778          0.240178      0.032836                 0.100498  226.915069       399.834428            0.081862
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       3                0.03013243         0.093152  4.962088         4.986280       0.089127  0.102665                  0.089561          0.194422      0.049751                 0.150249  396.208796       398.628034            0.122313
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       4                0.04001573         0.082161  5.637937         5.147230       0.101266  0.088029                  0.092452          0.168145      0.055721                 0.205970  463.793690       414.722991            0.168990
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       5                0.05020285         0.074578  6.739560         5.470344       0.121053  0.077625                  0.098256          0.149776      0.068657                 0.274627  573.956009       447.034426            0.228529
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       6                0.10004825         0.050927  4.810895         5.141797       0.086411  0.062565                  0.092354          0.106326      0.239801                 0.514428  381.089461       414.179744            0.421959
10-09 01:36:43.481 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       7                0.15000089         0.031407  3.605405         4.630155       0.064758  0.040656                  0.083165          0.084457      0.180100                 0.694527  260.540517       363.015484            0.554486
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       8                0.20209819         0.027412  0.916769         3.672910       0.016467  0.029053                  0.065971          0.070175      0.047761                 0.742289   -8.323084       267.291047            0.550070
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       9                0.30119922         0.021403  0.552228         2.646139       0.009919  0.024229                  0.047529          0.055058      0.054726                 0.797015  -44.777196       164.613874            0.504884
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      10                0.40094365         0.017798  0.638448         2.146677       0.011467  0.019659                  0.038558          0.046251      0.063682                 0.860697  -36.155239       114.667702            0.468162
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      11                0.50002681         0.015607  0.351481         1.790949       0.006313  0.016628                  0.032168          0.040381      0.034826                 0.895522  -64.851877        79.094875            0.402729
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      12                0.60320269         0.013134  0.298963         1.535749       0.005370  0.014237                  0.027584          0.035909      0.030846                 0.926368  -70.103699        53.574939            0.329076
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      13                0.69999821         0.011692  0.267271         1.360345       0.004801  0.012425                  0.024434          0.032662      0.025871                 0.952239  -73.272890        36.034462            0.256854
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      14                0.80099369         0.009630  0.197043         1.213667       0.003539  0.010459                  0.021799          0.029862      0.019900                 0.972139  -80.295655        21.366662            0.174276
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      15                0.89998749         0.008496  0.190976         1.101176       0.003430  0.009027                  0.019779          0.027571      0.018905                 0.991045  -80.902367        10.117617            0.092723
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      16                1.00000000         0.007123  0.089541         1.000000       0.001608  0.008002                  0.017962          0.025613      0.008955                 1.000000  -91.045896         0.000000            0.000000
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null DOF: 55952.0
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual DOF: 55951.0
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null deviance: 10071.084
10-09 01:36:43.482 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual deviance: 8963.842
10-09 01:36:43.483 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Training metrics computed in 146ms
10-09 01:36:43.546 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Starting model Quantiles_model_1602221795184_4
10-09 01:36:43.575 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Completing model Quantiles_model_1602221795184_4
10-09 01:36:43.636 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Completing model AdityaGLMLogistic_cv_2
10-09 01:36:43.637 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building cross-validation model 3 / 5.
10-09 01:36:43.637 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Building H2O GLM model with these parameters:
10-09 01:36:43.637 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: {"_train":{"name":"AdityaGLMLogistic_cv_3_train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic_cv_3_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":"__internal_cv_weights__","_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":true,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":0.01,"_use_all_factor_levels":true,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":1.0E-4,"_obj_reg":1.4293065004859643E-5,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:43.637 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:43.637 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:43.647 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55948 nobs out of 69964 total
10-09 01:36:43.663 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Starting model AdityaGLMLogistic_cv_3
10-09 01:36:43.670 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=0 lmb=.1E-1 obj=0.07054 imp=.1E1 bdf=.4E1] Got 0 active columns out of 31102 total
10-09 01:36:43.710 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=0 lmb=.1E-1 obj=0.07054 imp=.1E1 bdf=.4E1] computed in 40+0=40ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18
10-09 01:36:43.744 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=1 lmb=.1E-1 obj=0.07054 imp=.14E-4 bdf=.12E-1] relImprovement < eps; relImprovement = 1.4022790368454406E-5, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:43.761 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: 4 variables failed KKT conditions, adding them to the model and recomputing.
10-09 01:36:43.762 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=1 lmb=.1E-1 obj=0.07054 imp=.14E-4 bdf=.12E-1] Got 4 active columns out of 31102 total
10-09 01:36:43.768 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=1 lmb=.1E-1 obj=0.07054 imp=.14E-4 bdf=.12E-1] computed in 6+0=6ms, step = 1, l1solver iter = 14, gerr = 7.554908071757366E-5
10-09 01:36:43.775 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] relImprovement < eps; relImprovement = 0.016878165705411365, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:43.790 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] solution has 3 nonzeros
10-09 01:36:43.791 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Scoring after 154ms
10-09 01:36:43.852 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Starting model Quantiles_model_1602221795184_5
10-09 01:36:43.880 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Completing model Quantiles_model_1602221795184_5
10-09 01:36:43.887 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Model Metrics Type: BinomialGLM
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  Description: N/A
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  model id: AdityaGLMLogistic_cv_3
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  frame id: AdityaGLMLogistic_cv_3_train
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  MSE: 0.01670501
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  RMSE: 0.12924786
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  AUC: 0.8246557
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  pr_auc: 0.082744695
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  logloss: 0.077019796
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  mean_per_class_error: 0.2632192
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  default threshold: 0.05436864495277405
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:             0     1   Error            Rate
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      0  49308  5660  0.1030  5,660 / 54,968
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      1    415   565  0.4235       415 / 980
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Totals  49723  6225  0.1086  6,075 / 55,948
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Gains/Lift Table (Avg response rate:  1.75 %, avg score:  2.45 %):
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       1                0.01002717         0.139893  7.225268         7.225268       0.126560  0.244972                  0.126560          0.244972      0.072449                 0.072449  622.526829       622.526829            0.063535
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       2                0.02012583         0.104948  2.829229         5.019440       0.049558  0.117217                  0.087922          0.180868      0.028571                 0.101020  182.922882       401.944032            0.082337
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       3                0.03040323         0.090629  4.567184         4.866561       0.080000  0.096569                  0.085244          0.152372      0.046939                 0.147959  356.718367       386.656109            0.119652
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       4                0.04010867         0.082006  6.413402         5.240864       0.112339  0.086531                  0.091800          0.136440      0.062245                 0.210204  541.340249       424.086362            0.173128
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       5                0.05029670         0.077297  6.109610         5.416836       0.107018  0.079178                  0.094883          0.124841      0.062245                 0.272449  510.960974       441.683565            0.226113
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       6                0.10000357         0.057653  5.029486         5.224303       0.088098  0.067700                  0.091510          0.096439      0.250000                 0.522449  402.948580       422.430304            0.429977
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       7                0.15001430         0.039733  3.305413         4.584597       0.057898  0.048022                  0.080305          0.080298      0.165306                 0.687755  230.541349       358.459698            0.547328
10-09 01:36:43.888 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       8                0.20000715         0.029715  0.938910         3.673338       0.016446  0.036230                  0.064343          0.069283      0.046939                 0.734694   -6.109024       267.333808            0.544219
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       9                0.30051119         0.017651  0.619327         2.651944       0.010848  0.020732                  0.046452          0.053045      0.062245                 0.796939  -38.067267       165.194377            0.505278
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      10                0.40287410         0.015422  0.598112         2.130103       0.010477  0.016628                  0.037311          0.043792      0.061224                 0.858163  -40.188794       113.010286            0.463406
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      11                0.50007149         0.014058  0.388437         1.791581       0.006804  0.014702                  0.031382          0.038138      0.037755                 0.895918  -61.156262        79.158056            0.402904
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      12                0.60298849         0.012421  0.277616         1.533180       0.004863  0.013151                  0.026856          0.033873      0.028571                 0.924490  -72.238376        53.317984            0.327233
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      13                0.70009652         0.011436  0.273207         1.358413       0.004786  0.011935                  0.023794          0.030831      0.026531                 0.951020  -72.679280        35.841328            0.255398
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      14                0.80052906         0.009964  0.223523         1.216033       0.003915  0.010565                  0.021300          0.028288      0.022449                 0.973469  -77.647704        21.603254            0.176024
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      15                0.90008579         0.009115  0.143493         1.097401       0.002513  0.009520                  0.019222          0.026212      0.014286                 0.987755  -85.650680         9.740106            0.089232
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      16                1.00000000         0.007885  0.122554         1.000000       0.002147  0.008729                  0.017516          0.024465      0.012245                 1.000000  -87.744588         0.000000            0.000000
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null DOF: 55947.0
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual DOF: 55945.0
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null deviance: 9870.198
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual deviance: 8618.207
10-09 01:36:43.889 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Training metrics computed in 92ms
10-09 01:36:43.927 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Starting model Quantiles_model_1602221795184_6
10-09 01:36:43.939 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Completing model Quantiles_model_1602221795184_6
10-09 01:36:44.026 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Completing model AdityaGLMLogistic_cv_3
10-09 01:36:44.027 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building cross-validation model 4 / 5.
10-09 01:36:44.027 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Building H2O GLM model with these parameters:
10-09 01:36:44.027 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: {"_train":{"name":"AdityaGLMLogistic_cv_4_train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic_cv_4_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":"__internal_cv_weights__","_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":true,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":0.01,"_use_all_factor_levels":true,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":1.0E-4,"_obj_reg":1.4293065004859643E-5,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:44.027 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:44.028 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:44.041 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 56137 nobs out of 69964 total
10-09 01:36:44.061 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Starting model AdityaGLMLogistic_cv_4
10-09 01:36:44.068 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=0 lmb=.1E-1 obj=0.07151 imp=.1E1 bdf=.4E1] Got 1 active columns out of 31102 total
10-09 01:36:44.082 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=0 lmb=.1E-1 obj=0.07151 imp=.1E1 bdf=.4E1] computed in 14+0=14ms, step = 1, l1solver iter = 10, gerr = 5.9320663936380695E-5
10-09 01:36:44.092 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] relImprovement < eps; relImprovement = 0.009012812066183066, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:44.112 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] solution has 2 nonzeros
10-09 01:36:44.113 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Scoring after 86ms
10-09 01:36:44.181 10.2.107.37:15436     13908      FJ-3-3  INFO water.default: Starting model Quantiles_model_1602221795184_7
10-09 01:36:44.205 10.2.107.37:15436     13908      FJ-3-3  INFO water.default: Completing model Quantiles_model_1602221795184_7
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Model Metrics Type: BinomialGLM
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  Description: N/A
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  model id: AdityaGLMLogistic_cv_4
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  frame id: AdityaGLMLogistic_cv_4_train
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  MSE: 0.017324643
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  RMSE: 0.1316231
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  AUC: 0.8247264
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  pr_auc: 0.08238958
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  logloss: 0.07926738
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  mean_per_class_error: 0.2744808
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  default threshold: 0.04466547816991806
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:             0     1   Error            Rate
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      0  49507  5634  0.1022  5,634 / 55,141
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      1    445   551  0.4468       445 / 996
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Totals  49952  6185  0.1083  6,079 / 56,137
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Gains/Lift Table (Avg response rate:  1.77 %, avg score:  2.49 %):
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       1                0.01011810         0.159419  6.946077         6.946077       0.123239  0.326091                  0.123239          0.326091      0.070281                 0.070281  594.607656       594.607656            0.061250
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       2                0.02004026         0.108193  3.035680         5.009996       0.053860  0.125922                  0.088889          0.226985      0.030120                 0.100402  203.567952       400.999554            0.081813
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       3                0.03008711         0.088536  4.996671         5.005546       0.088652  0.097087                  0.088810          0.183609      0.050201                 0.150602  399.667108       400.554616            0.122692
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       4                0.04032991         0.077511  6.077342         5.277756       0.107826  0.083271                  0.093640          0.158126      0.062249                 0.212851  507.734241       427.775590            0.175638
10-09 01:36:44.213 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       5                0.05002049         0.070892  7.045306         5.620187       0.125000  0.073699                  0.099715          0.141769      0.068273                 0.281124  604.530622       462.018730            0.235278
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       6                0.10005878         0.049179  4.454419         5.037200       0.079032  0.060007                  0.089372          0.100881      0.222892                 0.504016  345.441931       403.719954            0.411254
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       7                0.15004364         0.030611  3.555294         4.543524       0.063079  0.039368                  0.080613          0.080389      0.177711                 0.681727  255.529352       354.352409            0.541287
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       8                0.20161391         0.026814  0.934507         3.620384       0.016580  0.028375                  0.064234          0.067084      0.048193                 0.729920   -6.549306       262.038355            0.537848
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       9                0.30177957         0.021059  0.651531         2.634972       0.011560  0.023757                  0.046750          0.052703      0.065261                 0.795181  -34.846892       163.497198            0.502313
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      10                0.40089424         0.017589  0.678700         2.151315       0.012042  0.019379                  0.038169          0.044465      0.067269                 0.862450  -32.130048       115.131501            0.469893
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      11                0.50006235         0.015467  0.384727         1.800980       0.006826  0.016463                  0.031954          0.038912      0.038153                 0.900602  -61.527338        80.098025            0.407775
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      12                0.60368384         0.013075  0.271299         1.538413       0.004813  0.014139                  0.027295          0.034659      0.028112                 0.928715  -72.870060        53.841264            0.330902
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      13                0.70001959         0.011684  0.229285         1.358252       0.004068  0.012383                  0.024099          0.031594      0.022088                 0.950803  -77.071489        35.825228            0.255313
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      14                0.80055935         0.009658  0.199725         1.212756       0.003544  0.010477                  0.021517          0.028942      0.020080                 0.970884  -80.027481        21.275648            0.173401
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      15                0.90147318         0.008546  0.208934         1.100385       0.003707  0.009062                  0.019523          0.026716      0.021084                 0.991968  -79.106594        10.038534            0.092129
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      16                1.00000000         0.007006  0.081522         1.000000       0.001446  0.008052                  0.017742          0.024877      0.008032                 1.000000  -91.847774         0.000000            0.000000
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null DOF: 56136.0
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual DOF: 56135.0
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null deviance: 10005.575
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual deviance: 8899.666
10-09 01:36:44.214 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Training metrics computed in 97ms
10-09 01:36:44.244 10.2.107.37:15436     13908      FJ-3-1  INFO water.default: Starting model Quantiles_model_1602221795184_8
10-09 01:36:44.252 10.2.107.37:15436     13908      FJ-3-1  INFO water.default: Completing model Quantiles_model_1602221795184_8
10-09 01:36:44.300 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Completing model AdityaGLMLogistic_cv_4
10-09 01:36:44.305 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building cross-validation model 5 / 5.
10-09 01:36:44.322 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Building H2O GLM model with these parameters:
10-09 01:36:44.322 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: {"_train":{"name":"AdityaGLMLogistic_cv_5_train","type":"Key"},"_valid":{"name":"AdityaGLMLogistic_cv_5_valid","type":"Key"},"_nfolds":0,"_keep_cross_validation_models":true,"_keep_cross_validation_predictions":false,"_keep_cross_validation_fold_assignment":false,"_parallelize_cross_validation":true,"_auto_rebalance":true,"_seed":15341,"_fold_assignment":"AUTO","_categorical_encoding":"AUTO","_max_categorical_levels":10,"_distribution":"AUTO","_tweedie_power":1.5,"_quantile_alpha":0.5,"_huber_alpha":0.9,"_ignored_columns":null,"_ignore_const_cols":true,"_weights_column":"__internal_cv_weights__","_offset_column":null,"_fold_column":null,"_check_constant_response":true,"_is_cv_model":true,"_score_each_iteration":false,"_max_runtime_secs":0.0,"_stopping_rounds":0,"_stopping_metric":"AUTO","_stopping_tolerance":0.001,"_response_column":"TrialRespond","_balance_classes":false,"_max_after_balance_size":5.0,"_class_sampling_factors":null,"_max_confusion_matrix_size":20,"_checkpoint":null,"_pretrained_autoencoder":null,"_custom_metric_func":"","_custom_distribution_func":"","_export_checkpoints_dir":"","_gainslift_bins":-1,"_standardize":true,"_useDispersion1":false,"_family":"binomial","_rand_family":null,"_link":"logit","_rand_link":null,"_solver":"IRLSM","_tweedie_variance_power":0.0,"_tweedie_link_power":1.0,"_theta":1.0E-10,"_invTheta":1.0E10,"_alpha":[1.0],"_lambda":[0.01],"_startval":null,"_calc_like":false,"_random_columns":null,"_score_iteration_interval":-1,"_missing_values_handling":null,"_prior":-1.0,"_lambda_search":false,"_HGLM":false,"_nlambdas":-1,"_non_negative":false,"_lambda_min_ratio":0.01,"_use_all_factor_levels":true,"_max_iterations":700,"_intercept":true,"_beta_epsilon":1.0E-4,"_objective_epsilon":0.43,"_gradient_epsilon":1.0E-4,"_obj_reg":1.4293065004859643E-5,"_compute_p_values":false,"_remove_collinear_columns":false,"_interactions":null,"_interaction_pairs":null,"_early_stopping":true,"_beta_constraints":null,"_plug_values":null,"_max_active_predictors":500,"_stdOverride":false,"_glmType":"glm"}
10-09 01:36:44.323 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: train dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:44.323 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: valid dataset already contains 16 (non-empty)  chunks. No need to rebalance. [desiredChunks=4, rebalanceRatio=1.0]
10-09 01:36:44.336 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55858 nobs out of 69964 total
10-09 01:36:44.369 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Starting model AdityaGLMLogistic_cv_5
10-09 01:36:44.423 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=0 lmb=.1E-1 obj=0.07166 imp=.1E1 bdf=.4E1] Got 0 active columns out of 31102 total
10-09 01:36:44.439 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=0 lmb=.1E-1 obj=0.07166 imp=.1E1 bdf=.4E1] computed in 15+0=15ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18
10-09 01:36:44.448 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=1 lmb=.1E-1 obj=0.07166 imp=.1E-4 bdf=.1E-1] relImprovement < eps; relImprovement = 1.0233757270932784E-5, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:44.462 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: 3 variables failed KKT conditions, adding them to the model and recomputing.
10-09 01:36:44.462 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=1 lmb=.1E-1 obj=0.07166 imp=.1E-4 bdf=.1E-1] Got 3 active columns out of 31102 total
10-09 01:36:44.470 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=1 lmb=.1E-1 obj=0.07166 imp=.1E-4 bdf=.1E-1] computed in 8+0=8ms, step = 1, l1solver iter = 11, gerr = 7.981688351219488E-5
10-09 01:36:44.477 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] relImprovement < eps; relImprovement = 0.018711461212962896, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:44.493 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] solution has 3 nonzeros
10-09 01:36:44.494 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Scoring after 188ms
10-09 01:36:44.536 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Starting model Quantiles_model_1602221795184_9
10-09 01:36:44.546 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Completing model Quantiles_model_1602221795184_9
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Model Metrics Type: BinomialGLM
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  Description: N/A
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  model id: AdityaGLMLogistic_cv_5
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  frame id: AdityaGLMLogistic_cv_5_train
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  MSE: 0.017039757
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  RMSE: 0.13053642
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  AUC: 0.82220435
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  pr_auc: 0.08008989
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  logloss: 0.078428425
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  mean_per_class_error: 0.2633781
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  default threshold: 0.05729902908205986
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:             0     1   Error            Rate
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      0  49221  5637  0.1028  5,637 / 54,858
10-09 01:36:44.573 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      1    424   576  0.4240     424 / 1,000
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Totals  49645  6213  0.1085  6,061 / 55,858
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Gains/Lift Table (Avg response rate:  1.79 %, avg score:  2.47 %):
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       1                0.01016864         0.132992  6.490542         6.490542       0.116197  0.221212                  0.116197          0.221212      0.066000                 0.066000  549.054225       549.054225            0.056849
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       2                0.02003294         0.102076  2.331641         4.442683       0.041742  0.113469                  0.079535          0.168159      0.023000                 0.089000  133.164065       344.268275            0.070224
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       3                0.03032690         0.089782  5.148650         4.682312       0.092174  0.095265                  0.083825          0.143417      0.053000                 0.142000  414.865043       368.231169            0.113709
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       4                0.04004798         0.082497  5.554939         4.894130       0.099448  0.086305                  0.087617          0.129553      0.054000                 0.196000  455.493923       389.412964            0.158795
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       5                0.05021662         0.077933  6.883908         5.297051       0.123239  0.079553                  0.094831          0.119429      0.070000                 0.266000  588.390845       429.705098            0.219717
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       6                0.10000358         0.060248  5.021395         5.159815       0.089896  0.069347                  0.092374          0.094495      0.250000                 0.516000  402.139518       415.981525            0.423580
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       7                0.15170611         0.043472  3.384747         4.554859       0.060596  0.051060                  0.081544          0.079692      0.175000                 0.691000  238.474723       355.485933            0.549125
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       8                0.20000716         0.030983  0.828139         3.654869       0.014826  0.039650                  0.065431          0.070022      0.040000                 0.731000  -17.186064       265.486914            0.540672
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:       9                0.30029718         0.017246  0.648120         2.650708       0.011603  0.019910                  0.047454          0.053286      0.065000                 0.796000  -35.187969       165.070752            0.504739
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      10                0.40275341         0.015321  0.575856         2.122887       0.010309  0.016369                  0.038005          0.043895      0.059000                 0.855000  -42.414433       112.288705            0.460491
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      11                0.50019693         0.014130  0.379707         1.783298       0.006798  0.014691                  0.031926          0.038206      0.037000                 0.892000  -62.029285        78.329764            0.398945
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      12                0.60498049         0.012675  0.267217         1.520710       0.004784  0.013332                  0.027225          0.033898      0.028000                 0.920000  -73.278250        52.071021            0.320762
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      13                0.70023989         0.011808  0.304432         1.355250       0.005450  0.012243                  0.024262          0.030952      0.029000                 0.949000  -69.556813        35.524983            0.253295
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      14                0.80088797         0.010447  0.228519         1.213653       0.004091  0.010996                  0.021727          0.028444      0.023000                 0.972000  -77.148097        21.365290            0.174231
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      15                0.90081994         0.009663  0.200136         1.101219       0.003583  0.010028                  0.019715          0.026401      0.020000                 0.992000  -79.986385        10.121897            0.092842
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:      16                1.00000000         0.008513  0.080661         1.000000       0.001444  0.009299                  0.017903          0.024705      0.008000                 1.000000  -91.933863         0.000000            0.000000
10-09 01:36:44.574 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  null DOF: 55857.0
10-09 01:36:44.575 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  residual DOF: 55855.0
10-09 01:36:44.575 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  null deviance: 10027.615
10-09 01:36:44.575 10.2.107.37:15436     13908      FJ-2-7  INFO water.default:  residual deviance: 8761.71
10-09 01:36:44.575 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Training metrics computed in 55ms
10-09 01:36:44.596 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Starting model Quantiles_model_1602221795184_10
10-09 01:36:44.603 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Completing model Quantiles_model_1602221795184_10
10-09 01:36:44.646 10.2.107.37:15436     13908      FJ-2-7  INFO water.default: Completing model AdityaGLMLogistic_cv_5
10-09 01:36:44.753 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Scoring the 5 CV models
10-09 01:36:44.807 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_11
10-09 01:36:44.819 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_11
10-09 01:36:44.875 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_12
10-09 01:36:44.889 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_12
10-09 01:36:44.948 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_13
10-09 01:36:44.957 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_13
10-09 01:36:45.036 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_14
10-09 01:36:45.043 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_14
10-09 01:36:45.088 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_15
10-09 01:36:45.096 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_15
10-09 01:36:45.106 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Building main model.
10-09 01:36:45.106 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Remaining time for main model (ms): 0
10-09 01:36:45.106 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=0 lmb=.1E-1 obj=0.08904 imp=.1E1 bdf=.4E1] Got 3 active columns out of 31102 total
10-09 01:36:45.157 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=0 lmb=.1E-1 obj=0.08904 imp=.1E1 bdf=.4E1] computed in 51+0=51ms, step = 1, l1solver iter = 12, gerr = 7.823139674479753E-5
10-09 01:36:45.172 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] relImprovement < eps; relImprovement = 0.00876053979454864, eps = 0.43
DONE after 1 iterations (1)
10-09 01:36:45.197 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] solution has 3 nonzeros
10-09 01:36:45.198 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Scoring after 92ms
10-09 01:36:45.251 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Starting model Quantiles_model_1602221795184_16
10-09 01:36:45.294 10.2.107.37:15436     13908      FJ-3-5  INFO water.default: Completing model Quantiles_model_1602221795184_16
10-09 01:36:45.311 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Model Metrics Type: BinomialGLM
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  Description: N/A
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  model id: AdityaGLMLogistic
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  frame id: AdityaGLMLogistic.train
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  MSE: 0.017407242
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  RMSE: 0.1319365
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  AUC: 0.8242178
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  pr_auc: 0.081791736
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  logloss: 0.07881623
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  mean_per_class_error: 0.2623902
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  default threshold: 0.07198531925678253
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:             0     1   Error            Rate
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      0  61645  7079  0.1030  7,079 / 68,724
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      1    523   717  0.4218     523 / 1,240
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Totals  62168  7796  0.1087  7,602 / 69,964
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Gains/Lift Table (Avg response rate:  1.77 %, avg score:  2.89 %):
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       1                0.01003373         0.200841  6.912168         6.912168       0.122507  0.349703                  0.122507          0.349703      0.069355                 0.069355  591.216800       591.216800            0.060391
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       2                0.02002458         0.147608  2.905884         4.913315       0.051502  0.167068                  0.087081          0.258581      0.029032                 0.098387  190.588398       391.331537            0.079776
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       3                0.03017266         0.126122  4.688637         4.837749       0.083099  0.135667                  0.085741          0.217241      0.047581                 0.145968  368.863698       383.774851            0.117884
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       4                0.04014922         0.113604  5.981764         5.122021       0.106017  0.120165                  0.090780          0.193119      0.059677                 0.205645  498.176356       412.202138            0.168482
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       5                0.05054028         0.105881  6.364032         5.377378       0.112792  0.108773                  0.095305          0.175777      0.066129                 0.271774  536.403248       437.737830            0.225226
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       6                0.10000858         0.076793  5.037439         5.209231       0.089281  0.091659                  0.092325          0.134169      0.249194                 0.520968  403.743930       420.923068            0.428555
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       7                0.15209250         0.050710  3.298027         4.554741       0.058452  0.062252                  0.080725          0.109541      0.171774                 0.692742  229.802680       355.474079            0.550404
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       8                0.20003144         0.035121  0.857946         3.668778       0.015206  0.045338                  0.065023          0.094154      0.041129                 0.733871  -14.205378       266.877802            0.543472
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:       9                0.30041164         0.017257  0.626650         2.652275       0.011106  0.020809                  0.047007          0.069647      0.062903                 0.796774  -37.335024       165.227470            0.505319
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      10                0.40269281         0.014826  0.591349         2.128814       0.010481  0.016133                  0.037730          0.056055      0.060484                 0.857258  -40.865099       112.881391            0.462767
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      11                0.50028586         0.013360  0.380117         1.787688       0.006737  0.014042                  0.031684          0.047859      0.037097                 0.894355  -61.988302        78.768762            0.401179
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      12                0.60359614         0.011623  0.281020         1.529809       0.004981  0.012398                  0.027113          0.041790      0.029032                 0.923387  -71.897995        52.980949            0.325561
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      13                0.70010291         0.010594  0.267406         1.355791       0.004739  0.011115                  0.024029          0.037561      0.025806                 0.949194  -73.259440        35.579146            0.253585
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      14                0.80096907         0.009068  0.223867         1.213248       0.003968  0.009686                  0.021503          0.034051      0.022581                 0.971774  -77.613260        21.324809            0.173887
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      15                0.90170659         0.008203  0.200137         1.100065       0.003547  0.008603                  0.019497          0.031208      0.020161                 0.991935  -79.986315        10.006458            0.091857
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:      16                1.00000000         0.006971  0.082045         1.000000       0.001454  0.007809                  0.017723          0.028908      0.008065                 1.000000  -91.795466         0.000000            0.000000
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null DOF: 69963.0
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual DOF: 69961.0
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  null deviance: 12459.408
10-09 01:36:45.312 10.2.107.37:15436     13908     FJ-2-11  INFO water.default:  residual deviance: 11028.598
10-09 01:36:45.313 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Training metrics computed in 111ms
10-09 01:36:45.354 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Starting model Quantiles_model_1602221795184_17
10-09 01:36:45.359 10.2.107.37:15436     13908      FJ-3-7  INFO water.default: Completing model Quantiles_model_1602221795184_17
10-09 01:36:45.401 10.2.107.37:15436     13908     FJ-2-11  INFO water.default: Completing model AdityaGLMLogistic
10-09 01:36:45.401 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Computing 5-fold cross-validation metrics.
10-09 01:36:45.523 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: 5 CV predictions were removed
10-09 01:36:45.537 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Starting model Quantiles_model_1602221795184_18
10-09 01:36:45.559 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Completing model Quantiles_model_1602221795184_18
10-09 01:36:45.564 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Model Metrics Type: BinomialGLM
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  Description: 5-fold cross-validation on training data (Metrics computed for combined holdout predictions)
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  model id: AdityaGLMLogistic
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  frame id: AdityaGLMLogistic.train
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  MSE: 0.017116178
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  RMSE: 0.13082881
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  AUC: 0.8218349
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  pr_auc: 0.080504365
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  logloss: 0.07850051
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  mean_per_class_error: 0.2569594
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  default threshold: 0.04797601327300072
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class):
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:             0     1   Error            Rate
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      0  61283  7441  0.1083  7,441 / 68,724
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      1    503   737  0.4056     503 / 1,240
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Totals  61786  8178  0.1135  7,944 / 69,964
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Gains/Lift Table (Avg response rate:  1.77 %, avg score:  2.48 %):
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:   Group  Cumulative Data Fraction  Lower Threshold      Lift  Cumulative Lift  Response Rate     Score  Cumulative Response Rate  Cumulative Score  Capture Rate  Cumulative Capture Rate        Gain  Cumulative Gain  Kolmogorov Smirnov
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       1                0.01003373         0.142506  6.751420         6.751420       0.119658  0.278951                  0.119658          0.278951      0.067742                 0.067742  575.141991       575.141991            0.058749
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       2                0.02008176         0.104948  2.889350         4.819010       0.051209  0.119497                  0.085409          0.199167      0.029032                 0.096774  188.934979       381.901045            0.078076
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       3                0.03020125         0.089645  4.701882         4.779764       0.083333  0.096332                  0.084714          0.164710      0.047581                 0.144355  370.188172       377.976429            0.116213
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       4                0.04000629         0.081228  6.662141         5.241111       0.118076  0.085394                  0.092890          0.145271      0.065323                 0.209677  566.214145       424.111146            0.172733
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       5                0.05002573         0.075333  5.070788         5.206998       0.089872  0.077996                  0.092286          0.131797      0.050806                 0.260484  407.078827       420.699816            0.214255
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       6                0.10003716         0.055811  5.063358         5.135188       0.089740  0.065368                  0.091013          0.098587      0.253226                 0.513710  406.335819       413.518844            0.421136
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       7                0.15006289         0.039279  3.208027         4.492740       0.056857  0.046076                  0.079627          0.081082      0.160484                 0.674194  220.802673       349.274002            0.533588
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       8                0.20003144         0.027381  1.049047         3.632493       0.018593  0.032864                  0.064380          0.069037      0.052419                 0.726613    4.904684       263.249340            0.536083
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       9                0.29999714         0.019199  0.661517         2.642498       0.011724  0.022266                  0.046834          0.053452      0.066129                 0.792742  -33.848275       164.249830            0.501635
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      10                0.40033446         0.016371  0.586731         2.127254       0.010399  0.017571                  0.037702          0.044459      0.058871                 0.851613  -41.326946       112.725357            0.459421
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      11                0.50011434         0.014243  0.452609         1.793138       0.008022  0.015247                  0.031781          0.038631      0.045161                 0.896774  -54.739084        79.313832            0.403817
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      12                0.60003716         0.012869  0.250193         1.536195       0.004434  0.013554                  0.027227          0.034455      0.025000                 0.921774  -74.980689        53.619518            0.327542
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      13                0.70003144         0.011564  0.274209         1.355930       0.004860  0.012195                  0.024032          0.031275      0.027419                 0.949194  -72.579077        35.592987            0.253658
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      14                0.80002573         0.010042  0.209689         1.212663       0.003716  0.010701                  0.021493          0.028703      0.020968                 0.970161  -79.031059        21.266261            0.173205
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      15                0.90146361         0.009080  0.182855         1.096783       0.003241  0.009546                  0.019439          0.026548      0.018548                 0.988710  -81.714536         9.678268            0.088820
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:      16                1.00000000         0.006930  0.114580         1.000000       0.002031  0.008487                  0.017723          0.024768      0.011290                 1.000000  -88.541977         0.000000            0.000000
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  null DOF: 69963.0
10-09 01:36:45.565 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  residual DOF: 69961.0
10-09 01:36:45.566 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  null deviance: 12460.742
10-09 01:36:45.566 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:  residual deviance: 10984.419
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: Cross-Validation Metrics Summary:
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                                 mean            sd   cv_1_valid    cv_2_valid   cv_3_valid    cv_4_valid   cv_5_valid
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                accuracy   0.90331155    0.02389523    0.9448729     0.8954393    0.8854167    0.89043176     0.900397
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                     auc   0.82307535   0.013389133    0.8397397     0.8075898    0.8222064    0.81295115    0.8328897
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                   aucpr   0.08338908  0.0077342084  0.091955304   0.077366546  0.080426596   0.075828135   0.09136884
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                     err   0.09668848    0.02389523  0.055127107     0.1045607  0.114583336    0.10956824  0.099603005
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:               err_count       1352.6      332.8142        772.0        1465.0       1606.0        1515.0       1405.0
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                f0point5   0.11597116   0.013126878   0.13714866   0.101543464    0.1167147    0.11363637   0.11081263
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                      f1   0.16174398   0.010550635   0.17344753    0.14577259   0.16787565     0.1634456   0.15817855
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                      f2   0.27205902   0.025474457   0.23587653    0.25826445   0.29889297    0.29099488   0.27626622
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:          lift_top_group    6.8944364     1.0128257     6.378587     7.5576267     5.734861      6.522939     8.278169
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                 logloss   0.07850936  0.0024433646   0.07973382    0.07767298  0.080655046    0.07987567  0.074609295
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:     max_per_class_error    0.4756212    0.12551735    0.6896552     0.4680851   0.37692308    0.39344263         0.45
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                     mcc   0.19363375   0.018696541   0.16899337    0.18114085   0.21385099    0.20854191   0.19564167
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default: mean_per_class_accuracy    0.7172826   0.049529824   0.63363415    0.71677774     0.756726     0.7510443   0.72823095
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:    mean_per_class_error   0.28271738   0.049529824   0.36636582     0.2832223   0.24327399    0.24895573   0.27176908
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                     mse  0.017118579  7.3411345E-4  0.017608989   0.016709246  0.017778672    0.01746815   0.01602784
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:           null_deviance    2492.1484      95.24631     2597.053       2388.55    2589.3833     2453.8345    2431.9211
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                  pr_auc   0.08338908  0.0077342084  0.091955304   0.077366546  0.080426596   0.075828135   0.09136884
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:               precision   0.09772847   0.013491401   0.12035661    0.08445946  0.097005986    0.09444799   0.09237229
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                      r2  0.016298266   0.025392536   0.03724329  -0.013220823   0.02347807  -0.007667642   0.04165844
10-09 01:36:45.583 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                  recall    0.5243788    0.12551735   0.31034482     0.5319149    0.6230769    0.60655737         0.55
10-09 01:36:45.584 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:       residual_deviance    2196.8838      60.08575    2233.1848     2176.5522    2260.9224     2208.8818    2104.8774
10-09 01:36:45.584 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:                    rmse   0.13081361  0.0028239086   0.13269886    0.12926425    0.1333367    0.13216713    0.1266011
10-09 01:36:45.584 10.2.107.37:15436     13908      FJ-1-1  INFO water.default:             specificity    0.9101864   0.026825948   0.95692354    0.90164053   0.89037514     0.8955312   0.90646183
GLM build done.
10-09 01:36:46.358 10.2.107.37:15436     13908  4556038-15  INFO water.default: DELETE /3/Frames/AdityaGLMLogistic.data, parms: {}
10-09 01:36:46.366 10.2.107.37:15436     13908  4556038-17  INFO water.default: DELETE /3/Frames/AdityaGLMLogistic.train, parms: {}
10-09 01:36:46.369 10.2.107.37:15436     13908  4556038-15  INFO water.default: DELETE /3/Frames/AdityaGLMLogistic.validation, parms: {}
10-09 01:36:46.372 10.2.107.37:15436     13908  4556038-17  INFO water.default: DELETE /3/InitID, parms: {}
Shutting down the Analytics Engine.

Process finished with exit code 0