Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…
python
graph
metrics
plot
regression
mse
regression-testing
evaluation-metrics
rmse
metrics-visualization
correlation-coefficient
mae
coefficient-of-determination
rmse-score
rmsre
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Updated
Nov 16, 2021 - Jupyter Notebook