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Hi, Gabriel
Attached file for verification
Trying to check the results with the formula:
F1 = 2 * (Precision * Recall) / (Precision + Recall) It implies beta=1
Precision = Positive predictive value
Recall or Sensitivity = True positive rate
Best training solution.Classification Performance Measures.Positive predictive value (test) 1.98%
Best training solution Classification Performance Measures True positive rate (test) 78.85%
Best training solution Classification Performance Measures F1 score (test) 0.735570231
Result of applying the formula 0.038548509
Best training solution.Classification Performance Measures.Positive predictive value (training) 78.31%
Best training solution Classification Performance Measures True positive rate (training) 93.83%
Best training solution Classification Performance Measures F1 score (training) 0.821515892
Result of applying the formula 0.853707415
Best validation solution.Classification Performance Measures.Positive predictive value (test) 2.95%
Best validation solution.Classification Performance Measures.True positive rate (test) 77.53%
Best validation solution.Classification Performance Measures.F1 score (test) 0.841759792
Result of applying the formula 0.056902683
Best validation solution.Classification Performance Measures.Positive predictive value (training) 77.31%
Best validation solution Classification Performance Measures True positive rate (training) 81.06%
Best validation solution Classification Performance Measures F1 score (training) 0.781038375
Result of applying the formula 0.791397849
Best, Angel
Enviado desde Correo para Windows 10
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