About this document
MLDS 2017 11 by williamnathannael50 is a document available to read on EtoBox.
The document presents a comprehensive review of supervised machine learning algorithms, highlighting their applications and various techniques such as regression, classification, and decision trees. It discusses specific algorithms like Linear Regression, Support Vector Machine, and Random Forest, detailing their methodologies and evaluation metrics. The study employs the German credit dataset to analyze the performance of these algorithms using tools like WEKA, focusing on accuracy, precision, and confusio
- Author
- williamnathannael50
- Language
- EN