Evaluating the performance of ML Models

Evaluation-Parameters-for-ML-models

Collecetion of Basic Parameters like accuaracy etc for evaluating the models

Model Evaluation

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.