Evaluating the performance of ML Models
Collecetion of Basic Parameters like accuaracy etc for evaluating the models
Model evaluation aims to estimate the generalization accuracy of a model on future (unseen/out-of-sample) data. Where we have different techniques to predict the data, its accuracy and other evaluation parameters helps in selecting the best ML Algorithm to be used.
#For complete info please refer to "https://github.com/Eshikamahajan/Evaluation-Parameters-for-ML-models/edit/master/README.md" for more details as to how to use this package.
FAQs
A Python package to evaluate the regression and classification models.
We found that Eval-param-EM demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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