balanced_accuracy_score

This function requires the 'caret' package.

Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.

Gabriel Pereira

LCCkNN

Adaptive k-Nearest Neighbor Classifier Based on Local Curvature
Estimation

balanced_accuracy_score function

<dl><dt>true_labels</dt>
<dd>The true class labels.</dd>
<dt>predicted_labels</dt>
<dd>The predicted class labels.</dd></dl>

Arguments

Computes balanced accuracy. — balanced_accuracy_score

<dl>

<dt>true_labels</dt>
<dd>The true class labels.</dd>


<dt>predicted_labels</dt>
<dd>The predicted class labels.</dd>

</dl>

balanced_accuracy_score: Computes balanced accuracy.

Description

Usage

Value

Arguments