In The Data Find The best correlation Betwine independent & dependent variable, for that I Perform ML Supervised Regression Models To Predict the Data and found the Best Model.
Concrete Strength Prediction Perform Below algorithms To Predict The data And Found the Best Model:
- Linear Regression
- Lasso Regression
- Ridge Regression
- Decision Tree Regressor
- Random Forest Regressor
- KNN Regressor
- SVM Regressor
- AND
- Pick each of the algorithm and perform Below steps:
- Split your data between train and test steps.
- Build The model List down the evaluation metrics you would use to evaluate the performance of the model?
- Evaluate the model on training data
- Predict the response variables for the test data
- How are the two scores? Are they significantly different? Are they the same? Is the test score better than training score?