A Python package to evaluate the regression and classification models.
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Eval_param_EM-1.0.2.tar.gz
(3.5 kB
view hashes)
Built Distribution
Close
Hashes for Eval_param_EM-1.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bff4cd2687240b087c649582f66bbe48cc49f3e8a3ab482ce89c2cb790e81d0b |
|
MD5 | edb01115b6957d1cb406aecedefcde7d |
|
BLAKE2b-256 | 72b7652e459b334f92f06387d2fcbe18469863f96b2668bb2dd92850dfc3bf10 |