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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.
Stars: 6
Forks: 1
Open Issues: 0
License: mit
Language: Jupyter Notebook
Repo Size: 309 KB
Dependencies:
11
Created: over 3 years ago
Updated: 8 months ago
Last pushed: over 2 years ago
Last synced: 20 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
Files
Dependencies
- matplotlib *
- numpy *
- pandas *
- scipy *
- sklearn *