GitHub / ajayarunachalam / RegressorMetricGraphPlot
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 (mape), etc.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ajayarunachalam%2FRegressorMetricGraphPlot
Stars: 6
Forks: 1
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 309 KB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: over 3 years ago
Last synced at: 10 days ago
Topics: coefficient-of-determination, correlation-coefficient, evaluation-metrics, graph, mae, metrics, metrics-visualization, mse, plot, python, regression, regression-testing, rmse, rmse-score, rmsre