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evaluation of prediction of binary, multiclass and regression

Project description

# DATS6450-final-project
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This package is visualization for evaluation of prediction and performances of machine learning models based on the target variables and models' prediction.
There are three types of model prediction:

* Binary classification Evaluation
* Multiclass classification Evaluation
* Regression Evaluation

## Installation

You can install `prediction_evaluation` with `pip`:

`# pip install prediction_evaluation `

## The models:
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### 1. Binary classification
* Confusion matrix plot
* ROC score and AUC plot
* Precision, recall and f1-score score table

### 2. Multi-class classification
* Confusion Matrix
* ROC score and AUC plot
* Precision, recall and f1-score score table

### 3. Regression
* Mean absolute error (MAE)
* Mean Squared error (MSE)
* R^2 score
* Residual plot

<a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc/4.0/">Creative Commons Attribution-NonCommercial 4.0 International License</a>.

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