This Package contains methods to evaluate the ML Model metrics.
Project description
A package to compute the KS Score, AUC & Gini Coefficient of the model for the given predictions
Methods
- plot_roc_curve(): Plots the ROC Curve
- compute_auc_gini(): Returns the AUC and Gini coefficient
- compute_gains_table_ks(): Computes the gains table from the provided predictions DataFrame. Returns the gains
- table & KS value from the gains table.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for evaluation_metrics-0.1.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e224a61f7637dbc58bc4ae6caf68bd27bd6749ef26eb378d5da4d8e100e7b40f |
|
| MD5 | d7ca0c70d5edfc7bfe2c90a244927c53 |
|
| BLAKE2b-256 | f85bc24495a577f786e4e35bd51d953d1fac35409002565a1946a5985ecc81c4 |
