2.2. KDS#
This module contains functions related to deciles.
See also
[1] tensorbored/kds
2.2.1. plot cumulative gain#
The mathematical formulation is the following:
Trained model of LogisticRegression and
RandomForestClassifier. For an example of
performing image:
Examples
plot_cumulative_gain with examples: Example usage of
LogisticRegressionusing the iris datasetplot_cumulative_gain with examples: Example usage of
RandomForestClassifierusing the iris dataset
References#
cumulative_gain
2.2.2. plot lift#
Note
Lift Curve
Trained model of LogisticRegression and
RandomForestClassifier. For an example of
performing image:
Examples
plot_lift_curve with examples: Example usage of
LogisticRegressionusing the iris datasetplot_lift_curve with examples: Example usage of
RandomForestClassifierusing the iris dataset
References#
lift_curve
2.2.3. plot_ks_statistic#
Trained model of LogisticRegression and
RandomForestClassifier. For an example of
performing image:
Examples
plot_ks_statistic with examples: Example usage of
LogisticRegressionusing the iris datasetplot_ks_statistic with examples: Example usage of
RandomForestClassifierusing the iris dataset
References#
ks_statistic
2.2.4. report#
Trained model of LogisticRegression and
RandomForestClassifier. For an example of
performing image:
Examples
report
References#
report