cutpointpy

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A Python package for estimating the optimal cut-point of a predictor variable (feature) for a binary classification task. It is loosely inspired by cutpointr, an optimal cut-point calculation package for R.

The main use cases of cutpointpy are:

• Optimal cut-point estimation
• Stability analysis of the estimated cut-points through bootstrapping
• Receiver-operating characteristic curve (ROC) analysis

Installation

Coming up soon

Structure

• cutpointpy.core: contains the main class (CutpointCalculator) with functions find() and bootstrap() for optimal cut-point estimation and stability anslysis/validation through bootstrapping.
• cutpointpy.utils: contains ancillary functions including methods for computing performance parameters on binary classification tasks (e.g. accuracy, sensitivity, specificity and AUC)

Usage

Coming up soon.

References

1. Hassanzad M., Hajian-Tilaki K. Methods of determining optimal cut-point of diagnostic biomarkers with application of clinical data in ROC analysis: an update review (2024) BMC Medical Research Methodology, 24 (1), art. no. 84

Note

The package is still under development and not fully tested.