RafiShaik-AI/ml-model-comparison-toolkit
A machine learning toolkit that automatically trains and compares multiple models such as Logistic Regression, Decision Tree, Random Forest, and SVM on a dataset. Generates accuracy comparison and visualizations using Python and scikit-learn.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Last pushed
Mar 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RafiShaik-AI/ml-model-comparison-toolkit"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
probabl-ai/skore
Track your Data Science. Skore's open-source Python library accelerates ML model development...
pallets/click
Python composable command line interface toolkit
openml/openml-python
OpenML's Python API for a World of Data and More 💫
huggingface/evaluate
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.