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Regression and Classification Model Tuning
This project involved tuning two machine learning algorithms for regression and classification tasks. For the regression model, Locally Weighted Learning (LWL) with Linear Regression and Random Forest were tuned. For the classification model, J48 Decision Tree algorithm was tuned. Parameter tuning for optimal performance. Evaluation of model performance using correlation coefficient and accuracy.
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Regression and Classification Model Tuning
This project involved tuning two machine learning algorithms for regression and classification tasks. For the regression model, Locally Weighted Learning (LWL) with Linear Regression and Random Forest were tuned. For the classification model, J48 Decision Tree algorithm was tuned. Parameter tuning for optimal performance. Evaluation of model performance using correlation coefficient and accuracy.
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