f1_score

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

f1_score function

<dl><dt>true_labels</dt>
<dd>The true class labels.</dd>
<dt>predicted_labels</dt>
<dd>The predicted class labels.</dd>
<dt>average</dt>
<dd>The type of averaging ('weighted').</dd></dl>

Arguments

Computes the F1-score. — f1_score

<dl>

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


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


<dt>average</dt>
<dd>The type of averaging ('weighted').</dd>

</dl>

f1_score: Computes the F1-score.

Description

Usage

Value

Arguments