A Python package to evaluate the regression and classification models.
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.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size Eval_param_EM-1.0.2-py3-none-any.whl (4.3 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size Eval_param_EM-1.0.2.tar.gz (3.5 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for Eval_param_EM-1.0.2-py3-none-any.whl