Izza

Izza is my personal data science and machine learning toolbox.

There is mainly personal function for data visualisation:

function name	presentation
pca_visualisation	a pca visualtion (2 components)
missingData	a tables showing missing data by features
camembert_plot	a camembert plot
kohohen maps	a kohohen maps with percentage of target class by neuron
activation_frequencies	activation frequencies for a kohohen map

There is methods to do model evaluation :

function name	presentation
fun_precision	precision at a determined percentage using predicted probabilities
fun_recall	recall at a determined percentage using predicted probabilities
f_macro_score	scorer allowing to find whether some clusters contain enough precision and recall for the target class
precision_macro_score	scorer allowing to find whether some clusters contain enough precision for the target class
recall_macro_score	scorer allowing to find whether some clusters contain enough recall for the target class
viable_clusters	function allowing to know the interessing clusters found using the f_macro score.

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Uploaded Apr 5, 2021 Python 3

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