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Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.

Home Page: https://rakibhhridoy.github.io

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yellowbrick machine-learning xgboost-algorithm xgboost random-forest random-forest-classifier classification scikit-learn python model-evaluation

visualmachinelearning-yellowbrick's Introduction

Visual Machine Learning With Yellowbrick

img1

Yellowbrick helps to visualize our model in different perspective

Installation

$ pip install yellowbrick
$ pip install -U yellowbrick

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