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Material Strength Prediction (ML)

Objective

Predict concrete compressive strength using regression algorithms and compare performance.

Models

  • Linear Regression
  • Polynomial Regression (degree=2)
  • Decision Tree
  • Random Forest
  • XGBoost

Metrics

  • MAE
  • RMSE
  • R² Score

Run

pip install -r requirements.txt python main.py

Results are printed in the terminal and saved as results.csv.

About

Purpose: Applying ML algorithms and comparing errors.

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