vizmetrics 0.0.1

A package to plot AI/ML metrics at ease

vizmetrics

VizMetrics Library for AI Models

This is a library that provides tools to calculate various metrics for AI models, including accuracy, precision, recall, F1 score, ROC curve, and confusion matrix. It also includes functions to plot these metrics as graphs and figures.

Features

Calculates common metrics for AI models Plots ROC curves and confusion matrices Provides easy-to-use functions to display metrics and plots

Installation

To install the library, use pip:

pip install vizmetrics

Usage

Here is an example of how to use the library to calculate and plot metrics for a binary classification model:

python

import vizmetrics

# Generate some example data
y_true = [0, 1, 0, 1, 0, 0, 1, 1]
y_pred = [0, 1, 0, 0, 1, 0, 1, 1]

# Example
vizmetrics.plot_confusion_matrix(y_true, y_pred)
vizmetrics.accuracy_confusion_matrix_precision_recall_multiclass(y_true, y_pred)
sens_multicalss = vizmetrics.sensitivity_multiclass(y_true, y_pred)


## License
This library is licensed under the MIT License.