HashSlap-Summer-of-Code/ml-core
Implement a Cross-Domain ML Benchmark Suite
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#10 opened on 2025/06/18
Intermediateenhancementhacktoberfesthssoc
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説明
Description:
Create a benchmark script to run and compare ML models from different folders on a shared dataset. Helps understand model performance across implementations.
Expected Tasks:
- Choose or create a simple classification dataset (e.g.,
.csv). - Write a script (e.g.,
benchmark.py) to:- Import models like
Perceptron,Linear Regression, etc. - Train and evaluate on the same dataset.
- Output metrics like accuracy or F1 score.
- Import models like
- Store benchmark results in a
benchmarks/folder. - Include summary output to console and optionally
.csv.
Stretch Goal:
- Add timing or memory comparisons.
- Plot results using
matplotliborseaborn.