GitHub / RohitXJ / ML-Model-Evaluation-Dashboard
A modular ML evaluation tool with a Streamlit frontend. Upload any CSV dataset, select the target column, apply optional PCA and feature selection, and evaluate Logistic Regression performance with auto/manual top-N feature importance. Built with Scikit-learn, Pandas, and Matplotlib.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RohitXJ%2FML-Model-Evaluation-Dashboard
PURL: pkg:github/RohitXJ/ML-Model-Evaluation-Dashboard
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 126 KB
Dependencies parsed at: Pending
Created at: 14 days ago
Updated at: 14 days ago
Pushed at: 14 days ago
Last synced at: 14 days ago
Topics: classification, dashboard, data-science, data-visualization, feature-selection, gradient-boosting, logistic-regression, machine-learning, model-evaluation, naive-bayes-classifier, pca, python, random-forest-classifier, streamlit-application, svm-classifier