ploomber / sklearn-evaluation

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
https://sklearn-evaluation.ploomber.io
Apache License 2.0
457 stars 54 forks source link

improving interactive confusion matrix by allowing comparison #301

Closed edublancas closed 1 year ago

edublancas commented 1 year ago

when testing the interactive confusion matrix, I realized that comparing quadrants would be useful. for example, I might want to know how false positives for class 1 compare to false positives for class 2 by looking at the sample statistics

is there a way to allow a user to select two quadrants? for example, the first one with and a second one with a double-click or some other modifies like shift + click

then if two quadrants are selected, we could display the ratio of features: feature_1_from_quadrant_1 / feature_1_from_quadrant_2

more info here: https://github.com/ploomber/sklearn-evaluation/pull/275#issuecomment-1443555707