Feature engineering

[bkowshik]

Working on #37

[bkowshik]

Training dataset

The Area Under the Curve (AUC) represents a model’s ability to discriminate between positive and negative classes. An area of 1.0 represents a model that made all predictions perfectly. An area of 0.5 represents a model that is as good as random.

• AUC score: 0.8

Validation dataset

• AUC score: 0.7

	Predicted good	Predicted harmful
Labelled good	1750	151
Labelled harmful	541	140

             precision    recall  f1-score   support

      False       0.76      0.92      0.83      1901
       True       0.48      0.21      0.29       681

avg / total       0.69      0.73      0.69      2582

Testing dataset

• Predicted good: 25,385
• Predicted harmful: 219