Metadata-Version: 2.4
Name: EqualVoteBox
Version: 1.0.0
Summary: A medical transparency library for revealing internal split votes in Random Forest models
Home-page: https://github.com/Aksh13673/EqualVoteBox
Author: Aksheita Ruchir Dholakia
Author-email: aksheitadholakia@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE .txt
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: shap
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This project name is EqualVoteBox it is a decision tree used for making ML model for medical purposes.

Problem:- In RandomForest the majority voting is taken into consideration . But, if there is any patient who needs drug B not drug A to which majority voting is done. But, still ML model predicts drug A.

Solution:- To this problem a solution is made by me Aksheita Dholakia on 14th March 2026. That, the model will give all the votes equal consideration. Thus, named EqualVoteBox and even help to see the feature of consideration for the vote. Which, helps doctors decide according to which features which drug to predict
