1.2. Metrics

This module contains functions related to metrics.

1.2.1. plot precision recall

plot_precision_recall

Trained model of LogisticRegression or RandomForestClassifier. For an example of performing image:

Examples

• plot_precision_recall with examples: Example usage of LogisticRegression using the iris dataset

References

• “scikit-learn precision-recall”.

1.2.2. plot roc

plot_roc

Trained model of LogisticRegression or RandomForestClassifier. For an example of performing image:

Examples

• plot_roc_curve with examples: Example usage of LogisticRegression using the iris dataset

References

• “scikit-learn roc”.

1.2.3. plot calibration curve

plot_calibration_curve

Trained model of LogisticRegression or RandomForestClassifier. For an example of performing image:

Examples

• plot_calibration_curve with examples: Example usage of sklearn.linear_model.LogisticRegression using the iris dataset

References

• “scikit-learn PCA”.