Linear separability is irrelevant to Boolean complexity 3, so this hypothesis predicts that linear separability should not predict learning difficulty when the categories are constructed from stimuli ...

We looked for possible effects of linear separability by asking whether the model, being based solely on similarity relations, would become less accurate for LNS compared to LS searches. Does linear ...

Here are some examples of executable commands: Visualize the linear separability dataset for the first and second feature pairs from the breast_cancer dataset: python -m myConvexHull -n breast_cancer ...

This repository is dedicated to the study of linear separability measures, including implementations of the methods described in the papers listed below, complete with examples and usage instructions.

Abstract: We study a fundamental statistical question in multiclass classification: When are data linearly separable? Unlike binary classification, linear separability in multiclass settings can be ...