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Novel Approach 1

Stacked Classifier: RF + SVM + XGB

metrics:

  • Accuracy: 0.9911734164070612
  • Balanced Accuracy: 0.9903422714760236
  • MCC: 0.990784932183338
  • ROC AUC Score: 0.999934898058849
  • F1 Score: 0.9911734164070612
  • Jaccard Score: 0.9825012866700978
  • Log Loss: 0.033553756349283356
  • Precision: 0.9911734164070612
  • Recall: 0.9911734164070612

Novel Approach 2

Stacked Classifier: RF + SVM + KNN + XGB

metrics:

  • Accuracy: 0.9922118380062306
  • Balanced Accuracy: 0.9913200369813552
  • MCC: 0.9918690348004674
  • ROC AUC Score: 0.9999193482927975
  • F1 Score: 0.9922118380062306
  • Jaccard Score: 0.9845440494590417
  • Log Loss: 0.03136301122428542
  • Precision: 0.9922118380062306
  • Recall: 0.9922118380062306
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