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Samle Report - Final Assignment Report AI by Nur Iman is a document available to read on EtoBox.

This study compares the effectiveness of Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Logistic Regression (LR) in predicting seminal quality for fertility assessments. Using the WEKA data mining tool and a dataset from the UCI repository, the research finds that MLP achieves the highest accuracy, followed by SVM and then LR. The paper emphasizes the importance of considering socio-demographic and lifestyle factors in male fertility analysis.

Author

Nur Iman

Language

EN