"C:\Program Files\Java\jdk1.8.0_65\bin\java" -Didea.launcher.port=7532 "-Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.3.8\bin" -Dfile.encoding=UTF-8 -classpath "C:\Program Files\Java\jdk1.8.0_65\jre\lib\activation.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\charsets.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\deploy.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\access-bridge-64.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\activation.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\cldrdata.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\dnsns.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\j3dcore.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\j3dutils.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\jaccess.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\jfxrt.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\localedata.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\mail.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\nashorn.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\sunec.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\sunjce_provider.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\sunmscapi.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\sunpkcs11.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\vecmath.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\ext\zipfs.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\javaws.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\jce.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\jfr.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\jfxswt.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\jsse.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\mail.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\management-agent.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\plugin.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\resources.jar;C:\Program Files\Java\jdk1.8.0_65\jre\lib\rt.jar;E:\work\code\spectrum\JavaExperiments\H2OStandAlone33007\target\classes;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-core\3.30.0.7.1\h2o-core-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\org\openjdk\jmh\jmh-core\1.21\jmh-core-1.21.jar;C:\DevTools\maven-3.3.9\repository\net\sf\jopt-simple\jopt-simple\4.6\jopt-simple-4.6.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-logger\3.30.0.7.1\h2o-logger-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-webserver-iface\3.30.0.7.1\h2o-webserver-iface-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\commons-codec\commons-codec\1.9\commons-codec-1.9.jar;C:\DevTools\maven-3.3.9\repository\joda-time\joda-time\2.9.9\joda-time-2.9.9.jar;C:\DevTools\maven-3.3.9\repository\gov\nist\math\jama\1.0.3\jama-1.0.3.jar;C:\DevTools\maven-3.3.9\repository\org\javassist\javassist\3.25.0-GA\javassist-3.25.0-GA.jar;C:\DevTools\maven-3.3.9\repository\org\apache\commons\commons-math3\3.3\commons-math3-3.3.jar;C:\DevTools\maven-3.3.9\repository\commons-io\commons-io\2.4\commons-io-2.4.jar;C:\DevTools\maven-3.3.9\repository\com\github\wendykierp\JTransforms\3.1\JTransforms-3.1.jar;C:\DevTools\maven-3.3.9\repository\pl\edu\icm\JLargeArrays\1.5\JLargeArrays-1.5.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-jaas-pam\3.30.0.7.1\h2o-jaas-pam-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\org\kohsuke\libpam4j\1.9\libpam4j-1.9.jar;C:\DevTools\maven-3.3.9\repository\net\java\dev\jna\jna\4.1.0\jna-4.1.0.jar;C:\DevTools\maven-3.3.9\repository\org\apache\logging\log4j\log4j-core\2.13.3\log4j-core-2.13.3.jar;C:\DevTools\maven-3.3.9\repository\org\apache\logging\log4j\log4j-api\2.13.3\log4j-api-2.13.3.jar;C:\DevTools\maven-3.3.9\repository\org\apache\logging\log4j\log4j-1.2-api\2.13.3\log4j-1.2-api-2.13.3.jar;C:\DevTools\maven-3.3.9\repository\com\google\code\gson\gson\2.6.2\gson-2.6.2.jar;C:\DevTools\maven-3.3.9\repository\commons-lang\commons-lang\2.6\commons-lang-2.6.jar;C:\DevTools\maven-3.3.9\repository\no\priv\garshol\duke\duke\1.2\duke-1.2.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-bindings\3.30.0.7.1\h2o-bindings-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\com\squareup\retrofit2\retrofit\2.8.1\retrofit-2.8.1.jar;C:\DevTools\maven-3.3.9\repository\com\squareup\retrofit2\converter-gson\2.8.1\converter-gson-2.8.1.jar;C:\DevTools\maven-3.3.9\repository\com\squareup\okhttp3\okhttp\4.6.0\okhttp-4.6.0.jar;C:\DevTools\maven-3.3.9\repository\org\jetbrains\kotlin\kotlin-stdlib\1.3.71\kotlin-stdlib-1.3.71.jar;C:\DevTools\maven-3.3.9\repository\org\jetbrains\annotations\13.0\annotations-13.0.jar;C:\DevTools\maven-3.3.9\repository\com\squareup\okio\okio\2.6.0\okio-2.6.0.jar;C:\DevTools\maven-3.3.9\repository\org\jetbrains\kotlin\kotlin-stdlib-common\1.3.70\kotlin-stdlib-common-1.3.70.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-app\3.30.0.7.1\h2o-app-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-jetty-9\3.30.0.7.1\h2o-jetty-9-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-server\9.4.30.v20200611\jetty-server-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\javax\servlet\javax.servlet-api\3.1.0\javax.servlet-api-3.1.0.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-http\9.4.30.v20200611\jetty-http-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-io\9.4.30.v20200611\jetty-io-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-servlets\9.4.30.v20200611\jetty-servlets-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-continuation\9.4.30.v20200611\jetty-continuation-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-util\9.4.30.v20200611\jetty-util-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-jaas\9.4.30.v20200611\jetty-jaas-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-security\9.4.30.v20200611\jetty-security-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-proxy\9.4.30.v20200611\jetty-proxy-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-client\9.4.30.v20200611\jetty-client-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\org\eclipse\jetty\jetty-servlet\9.4.30.v20200611\jetty-servlet-9.4.30.v20200611.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-algos\3.30.0.7.1\h2o-algos-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\core\1.1.2\core-1.1.2.jar;C:\DevTools\maven-3.3.9\repository\net\sourceforge\f2j\arpack_combined_all\0.1\arpack_combined_all-0.1.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_ref-osx-x86_64\1.1\netlib-native_ref-osx-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\native_ref-java\1.1\native_ref-java-1.1.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\jniloader\1.1\jniloader-1.1.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_ref-linux-x86_64\1.1\netlib-native_ref-linux-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_ref-win-x86_64\1.1\netlib-native_ref-win-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_ref-linux-armhf\1.1\netlib-native_ref-linux-armhf-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_system-osx-x86_64\1.1\netlib-native_system-osx-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\native_system-java\1.1\native_system-java-1.1.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_system-linux-x86_64\1.1\netlib-native_system-linux-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_system-linux-armhf\1.1\netlib-native_system-linux-armhf-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\github\fommil\netlib\netlib-native_system-win-x86_64\1.1\netlib-native_system-win-x86_64-1.1-natives.jar;C:\DevTools\maven-3.3.9\repository\com\googlecode\matrix-toolkits-java\mtj\1.0.4\mtj-1.0.4.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-automl\3.30.0.7.1\h2o-automl-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-ext-target-encoder\3.30.0.7.1\h2o-ext-target-encoder-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-genmodel\3.30.0.7.1\h2o-genmodel-3.30.0.7.1.jar;C:\DevTools\maven-3.3.9\repository\net\sf\opencsv\opencsv\2.3\opencsv-2.3.jar;C:\DevTools\maven-3.3.9\repository\ai\h2o\h2o-tree-api\0.3.9\h2o-tree-api-0.3.9.jar;C:\DevTools\maven-3.3.9\repository\com\squareup\okhttp\okhttp\2.0.0\okhttp-2.0.0.jar;C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.3.8\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain H2OStandalone [-Didea.launcher.port=7532, -Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.3.8\bin, -Dfile.encoding=UTF-8] 2020-10-09 11:06:04.550:INFO::main: Logging initialized @1391ms to org.eclipse.jetty.util.log.StdErrLog 10-09 11:06:04.955 192.168.1.7:15436 30012 main INFO: ----- H2O started ----- 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Build git branch: (no branch) 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Build git hash: 42bc323d9860bac8b25e904eec22b9cf827abcb5 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Build git describe: jenkins-3.30.0.7-dirty 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Build project version: 3.30.0.7.1 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Build age: 2 months and 3 days 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Built by: 'admin.eng' 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Built on: '2020-08-05 15:29:28' 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Found H2O Core extensions: [] 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Processed H2O arguments: [-log_level, ALL, -name, _PB_STP_CLUSTER_, -port, 15436, -log_dir, E:\work\code\spectrum\JavaExperiments/] 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Java availableProcessors: 8 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Java heap totalMemory: 491.0 MB 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Java heap maxMemory: 7.09 GB 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Java version: Java 1.8.0_65 (from Oracle Corporation) 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: JVM launch parameters: [-Didea.launcher.port=7532, -Didea.launcher.bin.path=C:\Program Files (x86)\JetBrains\IntelliJ IDEA Community Edition 2016.3.8\bin, -Dfile.encoding=UTF-8] 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: JVM process id: 30012@SKY-9262661 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: OS version: Windows 10 10.0 (amd64) 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Machine physical memory: 31.88 GB 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: Machine locale: en_US 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: X-h2o-cluster-id: 1602221763707 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: User name: 'Aditya.Kumar1' 10-09 11:06:05.091 192.168.1.7:15436 30012 main INFO: IPv6 stack selected: false 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Possible IP Address: lo (Software Loopback Interface 1), 127.0.0.1 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Possible IP Address: lo (Software Loopback Interface 1), 0:0:0:0:0:0:0:1 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net0 (Microsoft 6to4 Adapter) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:ppp0 (WAN Miniport (PPPOE)) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth0 (Intel(R) Ethernet Connection (4) I219-LM) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth1 (WAN Miniport (IPv6)) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net1 (Microsoft IP-HTTPS Platform Adapter) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth2 (WAN Miniport (IP)) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net2 (WAN Miniport (SSTP)) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth3 (VirtualBox Host-Only Ethernet Adapter) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Possible IP Address: wlan0 (Qualcomm QCA61x4A 802.11ac Wireless Adapter), 192.168.1.7 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net3 (WAN Miniport (IKEv2)) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan1 (Microsoft Wi-Fi Direct Virtual Adapter #2) 10-09 11:06:05.092 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net4 (Juniper Networks Virtual Adapter Manager) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net5 (WAN Miniport (L2TP)) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net6 (Microsoft Teredo Tunneling Adapter) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth4 (Microsoft Kernel Debug Network Adapter) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:net7 (WAN Miniport (PPTP)) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth5 (Bluetooth Device (Personal Area Network)) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan2 (Microsoft Wi-Fi Direct Virtual Adapter) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth6 (WAN Miniport (Network Monitor)) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Possible IP Address: eth7 (Juniper Networks Virtual Adapter), 10.84.41.116 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth8 (Intel(R) Ethernet Connection (4) I219-LM-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth9 (Intel(R) Ethernet Connection (4) I219-LM-VirtualBox NDIS Light-Weight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth10 (Intel(R) Ethernet Connection (4) I219-LM-QoS Packet Scheduler-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth11 (Intel(R) Ethernet Connection (4) I219-LM-WFP 802.3 MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan3 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan4 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-Virtual WiFi Filter Driver-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan5 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-Native WiFi Filter Driver-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan6 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-VirtualBox NDIS Light-Weight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan7 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-QoS Packet Scheduler-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan8 (Qualcomm QCA61x4A 802.11ac Wireless Adapter-WFP 802.3 MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan9 (Microsoft Wi-Fi Direct Virtual Adapter-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan10 (Microsoft Wi-Fi Direct Virtual Adapter-Native WiFi Filter Driver-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan11 (Microsoft Wi-Fi Direct Virtual Adapter-VirtualBox NDIS Light-Weight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan12 (Microsoft Wi-Fi Direct Virtual Adapter-QoS Packet Scheduler-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan13 (Microsoft Wi-Fi Direct Virtual Adapter-WFP 802.3 MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth12 (WAN Miniport (IP)-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth13 (WAN Miniport (IP)-QoS Packet Scheduler-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth14 (WAN Miniport (IPv6)-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth15 (WAN Miniport (IPv6)-QoS Packet Scheduler-0000) 10-09 11:06:05.093 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth16 (WAN Miniport (Network Monitor)-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth17 (WAN Miniport (Network Monitor)-QoS Packet Scheduler-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth18 (Juniper Networks Virtual Adapter #2) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan14 (Microsoft Wi-Fi Direct Virtual Adapter #2-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan15 (Microsoft Wi-Fi Direct Virtual Adapter #2-Native WiFi Filter Driver-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan16 (Microsoft Wi-Fi Direct Virtual Adapter #2-VirtualBox NDIS Light-Weight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan17 (Microsoft Wi-Fi Direct Virtual Adapter #2-QoS Packet Scheduler-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:wlan18 (Microsoft Wi-Fi Direct Virtual Adapter #2-WFP 802.3 MAC Layer LightWeight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth19 (Juniper Networks Virtual Adapter-WFP Native MAC Layer LightWeight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth20 (Juniper Networks Virtual Adapter-VirtualBox NDIS Light-Weight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth21 (Juniper Networks Virtual Adapter-QoS Packet Scheduler-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Network interface is down: name:eth22 (Juniper Networks Virtual Adapter-WFP 802.3 MAC Layer LightWeight Filter-0000) 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Multiple local IPs detected: 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: /192.168.1.7 /10.84.41.116 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Attempting to determine correct address... 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: Using /192.168.1.7 10-09 11:06:05.095 192.168.1.7:15436 30012 main INFO: H2O node running in unencrypted mode. 10-09 11:06:05.096 192.168.1.7:15436 30012 main INFO: Internal communication uses port: 15437 10-09 11:06:05.096 192.168.1.7:15436 30012 main INFO: Listening for HTTP and REST traffic on http://192.168.1.7:15436/ 10-09 11:06:05.344 192.168.1.7:15436 30012 main INFO: H2O cloud name: '_PB_STP_CLUSTER_' on /192.168.1.7:15436, static configuration based on -flatfile null 10-09 11:06:05.344 192.168.1.7:15436 30012 main INFO: If you have trouble connecting, try SSH tunneling from your local machine (e.g., via port 55555): 10-09 11:06:05.344 192.168.1.7:15436 30012 main INFO: 1. Open a terminal and run 'ssh -L 55555:localhost:15436 Aditya.Kumar1@192.168.1.7' 10-09 11:06:05.344 192.168.1.7:15436 30012 main INFO: 2. Point your browser to http://localhost:55555 10-09 11:06:05.365 192.168.1.7:15436 30012 main INFO: Log dir: 'E:\work\code\spectrum\JavaExperiments' 10-09 11:06:05.365 192.168.1.7:15436 30012 main INFO: Cur dir: 'E:\work\code\spectrum\JavaExperiments' 10-09 11:06:05.369 192.168.1.7:15436 30012 main INFO: Distributed HTTP import not available (import from HTTP/HTTPS will be eager) 10-09 11:06:05.370 192.168.1.7:15436 30012 main INFO: HDFS subsystem not available 10-09 11:06:05.370 192.168.1.7:15436 30012 main INFO: S3 subsystem not available 10-09 11:06:05.370 192.168.1.7:15436 30012 main INFO: GCS subsystem not available 10-09 11:06:05.370 192.168.1.7:15436 30012 main INFO: Flow dir: 'C:/Users/ad003ku/h2oflows' 10-09 11:06:05.631 192.168.1.7:15436 30012 main INFO: Cloud of size 1 formed [/192.168.1.7:15436] 10-09 11:06:05.639 192.168.1.7:15436 30012 main INFO: Registered parsers: [GUESS, ARFF, XLS, SVMLight, CSV] 10-09 11:06:05.640 192.168.1.7:15436 30012 main INFO: Registered 0 core extensions in: 1ms 10-09 11:06:05.640 192.168.1.7:15436 30012 main INFO: Registered H2O core extensions: [] 10-09 11:06:06.001 192.168.1.7:15436 30012 main INFO: Registered: 202 REST APIs in: 361ms 10-09 11:06:06.001 192.168.1.7:15436 30012 main INFO: Registered REST API extensions: [Algos, AutoML, Core V3, Core V4, TargetEncoder] 10-09 11:06:06.178 192.168.1.7:15436 30012 main INFO: Registered: 277 schemas in 177ms 10-09 11:06:06.178 192.168.1.7:15436 30012 main INFO: H2O started in 2464ms 10-09 11:06:06.178 192.168.1.7:15436 30012 main INFO: 10-09 11:06:06.178 192.168.1.7:15436 30012 main INFO: Open H2O Flow in your web browser: http://192.168.1.7:15436 10-09 11:06:06.179 192.168.1.7:15436 30012 main INFO: Analytics Engine Started in [0] ms 10-09 11:06:06.772 192.168.1.7:15436 30012 #35287-20 INFO: GET /3/InitID, parms: {} 10-09 11:06:06.776 192.168.1.7:15436 30012 #35287-20 INFO: Locking cloud to new members, because water.api.schemas3.InitIDV3 10-09 11:06:06.828 192.168.1.7:15436 30012 #35287-14 INFO: 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 11:06:06.915 192.168.1.7:15436 30012 #35287-19 INFO: POST /3/ParseSetup, parms: {source_frames=nfs:\C:\SampleDataSets\DirectBankUSAx.csv} 10-09 11:06:07.441 192.168.1.7:15436 30012 #35287-19 INFO: ParseSetup heuristic: cloudSize: 1, cores: 8, numCols: 41, maxLineLength: 189, totalSize: 16930596, localParseSize: 16930596, chunkSize: 529082, numChunks: 31, numChunks * cols: 1271 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":529082,"total_filtered_column_count":41,"_exclude_fields":""} 10-09 11:06:07.476 192.168.1.7:15436 30012 #35287-18 INFO: 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=529082} 10-09 11:06:07.482 192.168.1.7:15436 30012 #35287-18 INFO: Total file size: 16.1 MB 10-09 11:06:07.501 192.168.1.7:15436 30012 #35287-18 INFO: Parse chunk size 529082 10-09 11:06:07.535 192.168.1.7:15436 30012 FJ-2-15 INFO: Key nfs:\C:\SampleDataSets\DirectBankUSAx.csv will be parsed using method DistributedParse. 10-09 11:06:08.864 192.168.1.7:15436 30012 FJ-1-15 INFO: Parse result for AdityaGLMLogistic.data (100000 rows, 41 columns): 10-09 11:06:09.037 192.168.1.7:15436 30012 FJ-1-15 INFO: ColV2 type min max mean sigma NAs constant cardinality 10-09 11:06:09.037 192.168.1.7:15436 30012 FJ-1-15 INFO: CustomerNumber: numeric 1.00000 550862 275510 159313 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: HomePostCode: factor ******** \14 7TH 194 27312 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: BranchPostCode: factor AB9 1BE YO8 0NX 46 378 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: StateCode: factor 11001 WY045 2935 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: BankHeadOffice: factor CA NY 208 4 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: Age: numeric -1.00000 94.0000 38.0921 9.64981 10-09 11:06:09.038 192.168.1.7:15436 30012 FJ-1-15 INFO: Gender: numeric 1.00000 2.00000 1.17219 0.377547 10-09 11:06:09.039 192.168.1.7:15436 30012 FJ-1-15 INFO: NumberOfDependants: numeric 0.00000 30.0000 1.04460 1.19198 10-09 11:06:09.039 192.168.1.7:15436 30012 FJ-1-15 INFO: MaritalStatus: numeric 1.00000 9.00000 2.78697 1.55614 10-09 11:06:09.039 192.168.1.7:15436 30012 FJ-1-15 INFO: MatrimonialDisputes: numeric 0.00000 1.00000 0.0202600 0.140889 10-09 11:06:09.039 192.168.1.7:15436 30012 FJ-1-15 INFO: Additional column information only sent to log file... 10-09 11:06:09.042 192.168.1.7:15436 30012 FJ-1-15 INFO: RespondPress: numeric 0.00000 1.00000 0.0582600 0.234236 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: TrialTarget: numeric 0.00000 1.00000 0.308780 0.461992 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: TrialMailing: numeric 0.00000 1.00000 0.189480 0.391891 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: TrialRespond: numeric 0.00000 1.00000 0.0178400 0.132370 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: WestCoaster: numeric 0.00000 1.00000 0.0552700 0.228508 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: TrialScore: numeric 384.844 505.324 432.272 19.5647 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: TrialPropensity: numeric 0.0181457 0.545998 0.102585 0.0652135 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: RolloutTarget: numeric 0.00000 1.00000 0.199770 0.399829 10-09 11:06:09.043 192.168.1.7:15436 30012 FJ-1-15 INFO: RolloutMailing: numeric 0.00000 1.00000 0.166720 0.372728 10-09 11:06:09.044 192.168.1.7:15436 30012 FJ-1-15 INFO: RolloutResponse: numeric 0.00000 1.00000 0.0338300 0.180792 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: Chunk compression summary: 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: Chunk Type Chunk Name Count Count Percentage Size Size Percentage 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C0L Constant long 32 2.439 % 2.5 KB 0.036 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: CBS Binary 224 17.073 % 100.9 KB 1.439 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: CXI Sparse Integers 256 19.512 % 83.0 KB 1.185 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C1 1-Byte Integers 30 2.287 % 93.6 KB 1.335 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C1N 1-Byte Integers (w/o NAs) 223 16.997 % 695.4 KB 9.923 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C1S 1-Byte Fractions 3 0.229 % 9.3 KB 0.133 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C2 2-Byte Integers 129 9.832 % 795.9 KB 11.357 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C2S 2-Byte Fractions 39 2.973 % 240.9 KB 3.438 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C4 4-Byte Integers 50 3.811 % 613.1 KB 8.748 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C4S 4-Byte Fractions 296 22.561 % 3.6 MB 51.925 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: C8D 64-bit Reals 30 2.287 % 734.5 KB 10.481 % 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: Frame distribution summary: 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: Size Number of Rows Number of Chunks per Column Number of Chunks 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: 192.168.1.7:15436 6.8 MB 100000 32 1312 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: mean 6.8 MB 100000.000000 32.000000 1312.000000 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: min 6.8 MB 100000.000000 32.000000 1312.000000 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: max 6.8 MB 100000.000000 32.000000 1312.000000 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: stddev 0 B 0.000000 0.000000 0.000000 10-09 11:06:09.059 192.168.1.7:15436 30012 FJ-1-15 INFO: total 6.8 MB 100000 32 1312 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":529082,"delete_on_done":false,"blocking":true,"job":{"key":{"name":"$0301c0a801074d3cffffffff$_973e5352835e6e0a532619469a042e9","type":"Key\u003cJob\u003e","URL":"/3/Jobs/$0301c0a801074d3cffffffff$_973e5352835e6e0a532619469a042e9"},"description":"Parse","status":"DONE","progress":1.0,"progress_msg":"Done.","start_time":1602221767509,"msec":1551,"dest":{"name":"AdityaGLMLogistic.data","type":"Key\u003cFrame\u003e","URL":"/3/Frames/AdityaGLMLogistic.data"},"ready_for_view":true},"rows":100000,"_exclude_fields":""} 10-09 11:06:09.096 192.168.1.7:15436 30012 #35287-19 INFO: POST /99/Rapids, parms: {ast=(, (tmp= tmp_e07d2ba6-dbd2-4301-80d4-522dfb705a1b (h2o.runif AdityaGLMLogistic.data 17706)) (assign AdityaGLMLogistic.train (rows AdityaGLMLogistic.data (<= tmp_e07d2ba6-dbd2-4301-80d4-522dfb705a1b 0.70))) (assign AdityaGLMLogistic.validation (rows AdityaGLMLogistic.data (> tmp_e07d2ba6-dbd2-4301-80d4-522dfb705a1b 0.70))) (rm tmp_e07d2ba6-dbd2-4301-80d4-522dfb705a1b)), _exclude_fields=, session_id=_sid_a00c, id=} Split data into train and test About to train GLM. . . 10-09 11:06:09.676 192.168.1.7:15436 30012 #35287-18 INFO: 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, max_categorical_levels=10, link=logit, family=binomial, max_confusion_matrix_size=20, custom_metric_func=, max_active_predictors=500, stopping_tolerance=1.0E-4, 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=deviance, HGLM=false, 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=3, 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 11:06:09.827 192.168.1.7:15436 30012 #35287-18 WARN: _train: Dropping bad and constant columns: [PenaltyInterest] 10-09 11:06:09.841 192.168.1.7:15436 30012 FJ-1-5 INFO: Building H2O GLM model with these parameters: 10-09 11:06:09.863 192.168.1.7:15436 30012 FJ-1-5 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:09.864 192.168.1.7:15436 30012 FJ-1-5 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:09.864 192.168.1.7:15436 30012 FJ-1-5 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 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,"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":3,"max_runtime_secs":0.0,"stopping_metric":"deviance","stopping_tolerance":1.0E-4,"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":"$0301c0a801074d3cffffffff$_9eae35e53335e1844c48563135ab4a77","type":"Key\u003cJob\u003e","URL":"/3/Jobs/$0301c0a801074d3cffffffff$_9eae35e53335e1844c48563135ab4a77"},"description":"GLM","status":"RUNNING","progress":0.0,"start_time":1602221769840,"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 11:06:10.027 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model AdityaGLMLogistic 10-09 11:06:10.071 192.168.1.7:15436 30012 FJ-1-5 INFO: Creating 5 cross-validation splits with random number seed: 15341 10-09 11:06:10.177 192.168.1.7:15436 30012 FJ-1-5 INFO: Building cross-validation model 1 / 5. 10-09 11:06:10.183 192.168.1.7:15436 30012 FJ-2-1 INFO: Building H2O GLM model with these parameters: 10-09 11:06:10.184 192.168.1.7:15436 30012 FJ-2-1 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:10.184 192.168.1.7:15436 30012 FJ-2-1 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:10.184 192.168.1.7:15436 30012 FJ-2-1 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:10.269 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55960 nobs out of 69964 total 10-09 11:06:10.306 192.168.1.7:15436 30012 FJ-2-1 INFO: Starting model AdityaGLMLogistic_cv_1 10-09 11:06:10.345 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.381 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=0 lmb=.1E-1 obj=0.07048 imp=.1E1 bdf=.4E1] computed in 31+5=36ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18 10-09 11:06:10.396 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=1 lmb=.1E-1 obj=0.07048 imp=.17E-4 bdf=.13E-1] relImprovement < eps; relImprovement = 1.7127381954169038E-5, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:10.422 192.168.1.7:15436 30012 FJ-2-1 INFO: 3 variables failed KKT conditions, adding them to the model and recomputing. 10-09 11:06:10.422 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.443 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=1 lmb=.1E-1 obj=0.07048 imp=.17E-4 bdf=.13E-1] computed in 21+0=21ms, step = 1, l1solver iter = 13, gerr = 7.631134663467934E-5 10-09 11:06:10.454 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] relImprovement < eps; relImprovement = 0.017647997462445143, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:10.479 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] solution has 3 nonzeros 10-09 11:06:10.484 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Scoring after 299ms 10-09 11:06:10.737 192.168.1.7:15436 30012 FJ-3-11 INFO: Starting model Quantiles_model_1602221763707_1 10-09 11:06:10.863 192.168.1.7:15436 30012 FJ-3-11 INFO: Completing model Quantiles_model_1602221763707_1 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Model Metrics Type: BinomialGLM 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: Description: N/A 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: model id: AdityaGLMLogistic_cv_1 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: frame id: AdityaGLMLogistic_cv_1_train 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: MSE: 0.016664518 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: RMSE: 0.12909113 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: AUC: 0.82000774 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: pr_auc: 0.079940684 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: logloss: 0.07709674 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: mean_per_class_error: 0.27103835 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: default threshold: 0.0547693632543087 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 1 Error Rate 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 49663 5318 0.0967 5,318 / 54,981 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 1 436 543 0.4454 436 / 979 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: Totals 50099 5861 0.1028 5,754 / 55,960 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: Gains/Lift Table (Avg response rate: 1.75 %, avg score: 2.40 %): 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: null DOF: 55959.0 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: residual DOF: 55957.0 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: null deviance: 9862.567 10-09 11:06:10.894 192.168.1.7:15436 30012 FJ-2-1 INFO: residual deviance: 8628.667 10-09 11:06:10.897 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_1, iter=2 lmb=.1E-1 obj=0.06924 imp=.18E-1 bdf=.49E0] Training metrics computed in 405ms 10-09 11:06:10.928 192.168.1.7:15436 30012 FJ-3-13 INFO: Starting model Quantiles_model_1602221763707_2 10-09 11:06:10.959 192.168.1.7:15436 30012 FJ-3-13 INFO: Completing model Quantiles_model_1602221763707_2 10-09 11:06:11.039 192.168.1.7:15436 30012 FJ-2-1 INFO: Completing model AdityaGLMLogistic_cv_1 10-09 11:06:11.039 192.168.1.7:15436 30012 FJ-1-5 INFO: Building cross-validation model 2 / 5. 10-09 11:06:11.040 192.168.1.7:15436 30012 FJ-2-1 INFO: Building H2O GLM model with these parameters: 10-09 11:06:11.040 192.168.1.7:15436 30012 FJ-2-1 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:11.040 192.168.1.7:15436 30012 FJ-2-1 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.040 192.168.1.7:15436 30012 FJ-2-1 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.051 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55953 nobs out of 69964 total 10-09 11:06:11.099 192.168.1.7:15436 30012 FJ-2-1 INFO: Starting model AdityaGLMLogistic_cv_2 10-09 11:06:11.110 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.123 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=0 lmb=.1E-1 obj=0.07197 imp=.1E1 bdf=.4E1] computed in 12+1=13ms, step = 1, l1solver iter = 10, gerr = 5.930548509036553E-5 10-09 11:06:11.132 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] relImprovement < eps; relImprovement = 0.00649153788510176, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.142 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] solution has 2 nonzeros 10-09 11:06:11.144 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Scoring after 104ms 10-09 11:06:11.203 192.168.1.7:15436 30012 FJ-3-7 INFO: Starting model Quantiles_model_1602221763707_3 10-09 11:06:11.214 192.168.1.7:15436 30012 FJ-3-7 INFO: Completing model Quantiles_model_1602221763707_3 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Model Metrics Type: BinomialGLM 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: Description: N/A 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: model id: AdityaGLMLogistic_cv_2 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: frame id: AdityaGLMLogistic_cv_2_train 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: MSE: 0.017639816 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: RMSE: 0.13281497 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: AUC: 0.82581645 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: pr_auc: 0.08218652 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: logloss: 0.08010153 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: mean_per_class_error: 0.26028833 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: default threshold: 0.04503580927848816 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 1 Error Rate 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 49088 5860 0.1066 5,860 / 54,948 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 1 416 589 0.4139 416 / 1,005 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: Totals 49504 6449 0.1122 6,276 / 55,953 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: Gains/Lift Table (Avg response rate: 1.80 %, avg score: 2.56 %): 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: null DOF: 55952.0 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: residual DOF: 55951.0 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: null deviance: 10071.084 10-09 11:06:11.230 192.168.1.7:15436 30012 FJ-2-1 INFO: residual deviance: 8963.842 10-09 11:06:11.235 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_2, iter=1 lmb=.1E-1 obj=0.07151 imp=.65E-2 bdf=.74E0] Training metrics computed in 81ms 10-09 11:06:11.263 192.168.1.7:15436 30012 FJ-3-13 INFO: Starting model Quantiles_model_1602221763707_4 10-09 11:06:11.273 192.168.1.7:15436 30012 FJ-3-13 INFO: Completing model Quantiles_model_1602221763707_4 10-09 11:06:11.331 192.168.1.7:15436 30012 FJ-2-1 INFO: Completing model AdityaGLMLogistic_cv_2 10-09 11:06:11.331 192.168.1.7:15436 30012 FJ-1-5 INFO: Building cross-validation model 3 / 5. 10-09 11:06:11.331 192.168.1.7:15436 30012 FJ-2-1 INFO: Building H2O GLM model with these parameters: 10-09 11:06:11.331 192.168.1.7:15436 30012 FJ-2-1 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:11.332 192.168.1.7:15436 30012 FJ-2-1 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.332 192.168.1.7:15436 30012 FJ-2-1 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.343 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55948 nobs out of 69964 total 10-09 11:06:11.357 192.168.1.7:15436 30012 FJ-2-1 INFO: Starting model AdityaGLMLogistic_cv_3 10-09 11:06:11.365 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.380 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=0 lmb=.1E-1 obj=0.07054 imp=.1E1 bdf=.4E1] computed in 15+0=15ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18 10-09 11:06:11.395 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=1 lmb=.1E-1 obj=0.07054 imp=.14E-4 bdf=.12E-1] relImprovement < eps; relImprovement = 1.402279020043898E-5, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.404 192.168.1.7:15436 30012 FJ-2-1 INFO: 4 variables failed KKT conditions, adding them to the model and recomputing. 10-09 11:06:11.405 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.409 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=1 lmb=.1E-1 obj=0.07054 imp=.14E-4 bdf=.12E-1] computed in 4+0=4ms, step = 1, l1solver iter = 14, gerr = 7.55490807176205E-5 10-09 11:06:11.413 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] relImprovement < eps; relImprovement = 0.016878165705580834, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.422 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] solution has 3 nonzeros 10-09 11:06:11.423 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Scoring after 92ms 10-09 11:06:11.469 192.168.1.7:15436 30012 FJ-3-7 INFO: Starting model Quantiles_model_1602221763707_5 10-09 11:06:11.483 192.168.1.7:15436 30012 FJ-3-7 INFO: Completing model Quantiles_model_1602221763707_5 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Model Metrics Type: BinomialGLM 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: Description: N/A 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: model id: AdityaGLMLogistic_cv_3 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: frame id: AdityaGLMLogistic_cv_3_train 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: MSE: 0.01670501 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: RMSE: 0.12924786 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: AUC: 0.82461166 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: pr_auc: 0.08272962 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: logloss: 0.077019796 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: mean_per_class_error: 0.2632283 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: default threshold: 0.05436326935887337 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 1 Error Rate 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 49307 5661 0.1030 5,661 / 54,968 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 1 415 565 0.4235 415 / 980 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: Totals 49722 6226 0.1086 6,076 / 55,948 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: Gains/Lift Table (Avg response rate: 1.75 %, avg score: 2.45 %): 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: null DOF: 55947.0 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: residual DOF: 55945.0 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: null deviance: 9870.198 10-09 11:06:11.497 192.168.1.7:15436 30012 FJ-2-1 INFO: residual deviance: 8618.207 10-09 11:06:11.498 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_3, iter=2 lmb=.1E-1 obj=0.06935 imp=.17E-1 bdf=.53E0] Training metrics computed in 69ms 10-09 11:06:11.520 192.168.1.7:15436 30012 FJ-3-5 INFO: Starting model Quantiles_model_1602221763707_6 10-09 11:06:11.534 192.168.1.7:15436 30012 FJ-3-5 INFO: Completing model Quantiles_model_1602221763707_6 10-09 11:06:11.653 192.168.1.7:15436 30012 FJ-2-1 INFO: Completing model AdityaGLMLogistic_cv_3 10-09 11:06:11.653 192.168.1.7:15436 30012 FJ-1-5 INFO: Building cross-validation model 4 / 5. 10-09 11:06:11.653 192.168.1.7:15436 30012 FJ-2-1 INFO: Building H2O GLM model with these parameters: 10-09 11:06:11.653 192.168.1.7:15436 30012 FJ-2-1 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:11.654 192.168.1.7:15436 30012 FJ-2-1 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.654 192.168.1.7:15436 30012 FJ-2-1 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.663 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 56137 nobs out of 69964 total 10-09 11:06:11.681 192.168.1.7:15436 30012 FJ-2-1 INFO: Starting model AdityaGLMLogistic_cv_4 10-09 11:06:11.719 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.723 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=0 lmb=.1E-1 obj=0.07151 imp=.1E1 bdf=.4E1] computed in 4+0=4ms, step = 1, l1solver iter = 10, gerr = 5.9320663936370286E-5 10-09 11:06:11.726 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] relImprovement < eps; relImprovement = 0.009012812066097864, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.736 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] solution has 2 nonzeros 10-09 11:06:11.737 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Scoring after 83ms 10-09 11:06:11.775 192.168.1.7:15436 30012 FJ-3-15 INFO: Starting model Quantiles_model_1602221763707_7 10-09 11:06:11.786 192.168.1.7:15436 30012 FJ-3-15 INFO: Completing model Quantiles_model_1602221763707_7 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Model Metrics Type: BinomialGLM 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: Description: N/A 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: model id: AdityaGLMLogistic_cv_4 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: frame id: AdityaGLMLogistic_cv_4_train 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: MSE: 0.017324643 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: RMSE: 0.1316231 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: AUC: 0.8247245 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: pr_auc: 0.08237436 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: logloss: 0.07926738 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: mean_per_class_error: 0.2744808 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: default threshold: 0.04469582810997963 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 1 Error Rate 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 49507 5634 0.1022 5,634 / 55,141 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 1 445 551 0.4468 445 / 996 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: Totals 49952 6185 0.1083 6,079 / 56,137 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: Gains/Lift Table (Avg response rate: 1.77 %, avg score: 2.49 %): 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: null DOF: 56136.0 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: residual DOF: 56135.0 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: null deviance: 10005.575 10-09 11:06:11.791 192.168.1.7:15436 30012 FJ-2-1 INFO: residual deviance: 8899.666 10-09 11:06:11.797 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_4, iter=1 lmb=.1E-1 obj=0.07086 imp=.9E-2 bdf=.73E0] Training metrics computed in 52ms 10-09 11:06:11.818 192.168.1.7:15436 30012 FJ-3-3 INFO: Starting model Quantiles_model_1602221763707_8 10-09 11:06:11.828 192.168.1.7:15436 30012 FJ-3-3 INFO: Completing model Quantiles_model_1602221763707_8 10-09 11:06:11.873 192.168.1.7:15436 30012 FJ-2-1 INFO: Completing model AdityaGLMLogistic_cv_4 10-09 11:06:11.873 192.168.1.7:15436 30012 FJ-1-5 INFO: Building cross-validation model 5 / 5. 10-09 11:06:11.873 192.168.1.7:15436 30012 FJ-2-1 INFO: Building H2O GLM model with these parameters: 10-09 11:06:11.873 192.168.1.7:15436 30012 FJ-2-1 INFO: {"_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":3,"_stopping_metric":"deviance","_stopping_tolerance":1.0E-4,"_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,"_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 11:06:11.874 192.168.1.7:15436 30012 FJ-2-1 INFO: train dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.874 192.168.1.7:15436 30012 FJ-2-1 INFO: valid dataset already contains 32 (non-empty) chunks. No need to rebalance. [desiredChunks=8, rebalanceRatio=1.0] 10-09 11:06:11.885 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=0 lmb=.0E0 obj=Infinity imp=.0E0 bdf=.0E0] using 55858 nobs out of 69964 total 10-09 11:06:11.897 192.168.1.7:15436 30012 FJ-2-1 INFO: Starting model AdityaGLMLogistic_cv_5 10-09 11:06:11.904 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.915 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=0 lmb=.1E-1 obj=0.07166 imp=.1E1 bdf=.4E1] computed in 11+0=11ms, step = 1, l1solver iter = 1, gerr = 6.938893903907228E-18 10-09 11:06:11.925 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=1 lmb=.1E-1 obj=0.07166 imp=.1E-4 bdf=.1E-1] relImprovement < eps; relImprovement = 1.0233757236075803E-5, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.933 192.168.1.7:15436 30012 FJ-2-1 INFO: 3 variables failed KKT conditions, adding them to the model and recomputing. 10-09 11:06:11.934 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:11.938 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=1 lmb=.1E-1 obj=0.07166 imp=.1E-4 bdf=.1E-1] computed in 4+0=4ms, step = 1, l1solver iter = 11, gerr = 7.981688351207865E-5 10-09 11:06:11.942 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] relImprovement < eps; relImprovement = 0.01871146121300701, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:11.949 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] solution has 3 nonzeros 10-09 11:06:11.950 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Scoring after 77ms 10-09 11:06:11.987 192.168.1.7:15436 30012 FJ-3-11 INFO: Starting model Quantiles_model_1602221763707_9 10-09 11:06:12.001 192.168.1.7:15436 30012 FJ-3-11 INFO: Completing model Quantiles_model_1602221763707_9 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Model Metrics Type: BinomialGLM 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: Description: N/A 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: model id: AdityaGLMLogistic_cv_5 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: frame id: AdityaGLMLogistic_cv_5_train 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: MSE: 0.017039757 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: RMSE: 0.13053642 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: AUC: 0.82216334 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: pr_auc: 0.08008884 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: logloss: 0.078428425 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: mean_per_class_error: 0.263369 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: default threshold: 0.05730251967906952 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 1 Error Rate 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 0 49222 5636 0.1027 5,636 / 54,858 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 1 424 576 0.4240 424 / 1,000 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: Totals 49646 6212 0.1085 6,060 / 55,858 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: Gains/Lift Table (Avg response rate: 1.79 %, avg score: 2.47 %): 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: 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 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: null DOF: 55857.0 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: residual DOF: 55855.0 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: null deviance: 10027.615 10-09 11:06:12.005 192.168.1.7:15436 30012 FJ-2-1 INFO: residual deviance: 8761.71 10-09 11:06:12.010 192.168.1.7:15436 30012 FJ-2-1 INFO: GLM[dest=AdityaGLMLogistic_cv_5, iter=2 lmb=.1E-1 obj=0.07032 imp=.19E-1 bdf=.46E0] Training metrics computed in 53ms 10-09 11:06:12.025 192.168.1.7:15436 30012 FJ-3-9 INFO: Starting model Quantiles_model_1602221763707_10 10-09 11:06:12.034 192.168.1.7:15436 30012 FJ-3-9 INFO: Completing model Quantiles_model_1602221763707_10 10-09 11:06:12.074 192.168.1.7:15436 30012 FJ-2-1 INFO: Completing model AdityaGLMLogistic_cv_5 10-09 11:06:12.215 192.168.1.7:15436 30012 FJ-1-5 INFO: Scoring the 5 CV models 10-09 11:06:12.249 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_11 10-09 11:06:12.260 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_11 10-09 11:06:12.308 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_12 10-09 11:06:12.315 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_12 10-09 11:06:12.358 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_13 10-09 11:06:12.363 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_13 10-09 11:06:12.407 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_14 10-09 11:06:12.414 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_14 10-09 11:06:12.462 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_15 10-09 11:06:12.467 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_15 10-09 11:06:12.475 192.168.1.7:15436 30012 FJ-1-5 INFO: Building main model. 10-09 11:06:12.475 192.168.1.7:15436 30012 FJ-1-5 INFO: Remaining time for main model (ms): 0 10-09 11:06:12.475 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.500 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=0 lmb=.1E-1 obj=0.08904 imp=.1E1 bdf=.4E1] computed in 24+0=24ms, step = 1, l1solver iter = 12, gerr = 7.823139674475242E-5 10-09 11:06:12.507 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] relImprovement < eps; relImprovement = 0.008760539794433343, eps = 0.43 DONE after 1 iterations (1) 10-09 11:06:12.518 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] solution has 3 nonzeros 10-09 11:06:12.519 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Scoring after 44ms 10-09 11:06:12.559 192.168.1.7:15436 30012 FJ-3-3 INFO: Starting model Quantiles_model_1602221763707_16 10-09 11:06:12.605 192.168.1.7:15436 30012 FJ-3-3 INFO: Completing model Quantiles_model_1602221763707_16 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Model Metrics Type: BinomialGLM 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: Description: N/A 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: model id: AdityaGLMLogistic 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: frame id: AdityaGLMLogistic.train 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: MSE: 0.017407242 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: RMSE: 0.1319365 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: AUC: 0.82425916 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: pr_auc: 0.08179572 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: logloss: 0.07881623 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: mean_per_class_error: 0.2623902 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: default threshold: 0.0719553753733635 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 0 1 Error Rate 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 0 61645 7079 0.1030 7,079 / 68,724 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 1 523 717 0.4218 523 / 1,240 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: Totals 62168 7796 0.1087 7,602 / 69,964 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: Gains/Lift Table (Avg response rate: 1.77 %, avg score: 2.89 %): 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: 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 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: null DOF: 69963.0 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: residual DOF: 69961.0 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: null deviance: 12459.408 10-09 11:06:12.616 192.168.1.7:15436 30012 FJ-2-5 INFO: residual deviance: 11028.598 10-09 11:06:12.622 192.168.1.7:15436 30012 FJ-2-5 INFO: GLM[dest=AdityaGLMLogistic, iter=1 lmb=.1E-1 obj=0.08826 imp=.88E-2 bdf=.6E0] Training metrics computed in 93ms 10-09 11:06:12.647 192.168.1.7:15436 30012 FJ-3-5 INFO: Starting model Quantiles_model_1602221763707_17 10-09 11:06:12.651 192.168.1.7:15436 30012 FJ-3-5 INFO: Completing model Quantiles_model_1602221763707_17 10-09 11:06:12.734 192.168.1.7:15436 30012 FJ-2-5 INFO: Completing model AdityaGLMLogistic 10-09 11:06:12.735 192.168.1.7:15436 30012 FJ-1-5 INFO: Computing 5-fold cross-validation metrics. 10-09 11:06:12.800 192.168.1.7:15436 30012 FJ-1-5 INFO: 5 CV predictions were removed 10-09 11:06:12.803 192.168.1.7:15436 30012 FJ-1-5 INFO: Starting model Quantiles_model_1602221763707_18 10-09 11:06:12.814 192.168.1.7:15436 30012 FJ-1-5 INFO: Completing model Quantiles_model_1602221763707_18 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: Model Metrics Type: BinomialGLM 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: Description: 5-fold cross-validation on training data (Metrics computed for combined holdout predictions) 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: model id: AdityaGLMLogistic 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: frame id: AdityaGLMLogistic.train 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: MSE: 0.017116178 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: RMSE: 0.13082881 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: AUC: 0.82181156 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: pr_auc: 0.08050676 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: logloss: 0.07850051 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: mean_per_class_error: 0.2569594 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: default threshold: 0.04797601327300072 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: CM: Confusion Matrix (Row labels: Actual class; Column labels: Predicted class): 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 0 1 Error Rate 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 0 61283 7441 0.1083 7,441 / 68,724 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 1 503 737 0.4056 503 / 1,240 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: Totals 61786 8178 0.1135 7,944 / 69,964 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: Gains/Lift Table (Avg response rate: 1.77 %, avg score: 2.48 %): 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: 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 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: null DOF: 69963.0 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: residual DOF: 69961.0 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: null deviance: 12460.742 10-09 11:06:12.820 192.168.1.7:15436 30012 FJ-1-5 INFO: residual deviance: 10984.419 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: Cross-Validation Metrics Summary: 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: mean sd cv_1_valid cv_2_valid cv_3_valid cv_4_valid cv_5_valid 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: accuracy 0.90331155 0.02389523 0.9448729 0.8954393 0.8854167 0.89043176 0.900397 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: auc 0.82308483 0.013393517 0.8397685 0.8075821 0.82226527 0.812951 0.8328572 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: aucpr 0.08338927 0.0077341576 0.09195817 0.07736613 0.08042804 0.07582817 0.091365814 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: err 0.09668848 0.02389523 0.055127107 0.1045607 0.114583336 0.10956824 0.099603005 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: err_count 1352.6 332.8142 772.0 1465.0 1606.0 1515.0 1405.0 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: f0point5 0.11597116 0.013126878 0.13714866 0.101543464 0.1167147 0.11363637 0.11081263 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: f1 0.16174398 0.010550635 0.17344753 0.14577259 0.16787565 0.1634456 0.15817855 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: f2 0.27205902 0.025474457 0.23587653 0.25826445 0.29889297 0.29099488 0.27626622 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: lift_top_group 6.8944364 1.0128257 6.378587 7.5576267 5.734861 6.522939 8.278169 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: logloss 0.07850936 0.0024433646 0.07973382 0.07767298 0.080655046 0.07987567 0.074609295 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: max_per_class_error 0.4756212 0.12551735 0.6896552 0.4680851 0.37692308 0.39344263 0.45 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: mcc 0.19363375 0.018696541 0.16899337 0.18114085 0.21385099 0.20854191 0.19564167 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: mean_per_class_accuracy 0.7172826 0.049529824 0.63363415 0.71677774 0.756726 0.7510443 0.72823095 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: mean_per_class_error 0.28271738 0.049529824 0.36636582 0.2832223 0.24327399 0.24895573 0.27176908 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: mse 0.017118579 7.3411345E-4 0.017608989 0.016709246 0.017778672 0.01746815 0.01602784 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: null_deviance 2492.1484 95.24631 2597.053 2388.55 2589.3833 2453.8345 2431.9211 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: pr_auc 0.08338927 0.0077341576 0.09195817 0.07736613 0.08042804 0.07582817 0.091365814 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: precision 0.09772847 0.013491401 0.12035661 0.08445946 0.097005986 0.09444799 0.09237229 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: r2 0.016298266 0.025392536 0.03724329 -0.013220823 0.02347807 -0.007667642 0.04165844 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: recall 0.5243788 0.12551735 0.31034482 0.5319149 0.6230769 0.60655737 0.55 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: residual_deviance 2196.8838 60.08575 2233.1848 2176.5522 2260.9224 2208.8818 2104.8774 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: rmse 0.13081361 0.0028239086 0.13269886 0.12926425 0.1333367 0.13216713 0.1266011 10-09 11:06:12.840 192.168.1.7:15436 30012 FJ-1-5 INFO: specificity 0.9101864 0.026825948 0.95692354 0.90164053 0.89037514 0.8955312 0.90646183 GLM build done. 10-09 11:06:12.908 192.168.1.7:15436 30012 #35287-18 INFO: DELETE /3/Frames/AdityaGLMLogistic.data, parms: {} 10-09 11:06:12.916 192.168.1.7:15436 30012 #35287-19 INFO: DELETE /3/Frames/AdityaGLMLogistic.train, parms: {} 10-09 11:06:12.919 192.168.1.7:15436 30012 #35287-18 INFO: DELETE /3/Frames/AdityaGLMLogistic.validation, parms: {} 10-09 11:06:12.924 192.168.1.7:15436 30012 #35287-19 INFO: DELETE /3/InitID, parms: {} Shutting down the Analytics Engine. Process finished with exit code 0