To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques.

Then, Linear Regression, Decision Tree Regression and Artificial Neural Networks algorithms were analysed. It was revealed that decision tree regression is the more appropriate technique for this data ...

In this study, three models based on RS, including ROF, FPA and RF, were created respectively to compare ... decision trees were established through feature sampling and optimal segmentation. The ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

A Los Angeles federal judge ruled against the U.S. Fish and Wildlife Service's decision to deny Endangered Species Act protections for the Joshua tree. The judge determined the USFWS failed to ...

34 potential prognostic factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The most important predictor ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...