HashSlap-Summer-of-Code/ml-core
Implement a Cross-Domain ML Benchmark Suite
Aberta
#10 aberto em 18 de jun. de 2025
Intermediateenhancementhacktoberfesthssoc
Métricas do repositório
- Stars
- (3 estrelas)
- Métricas de merge de PR
- (Nenhuma PRs mesclada em 30d)
Description
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.