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Explore experimental results of disease risk prediction using logistic regression with gradient descent algorithm. Implementations include SVM-light and BMRM for optimal performance. Understand sigmoid function given by SVM for accurate predictions.
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Disease risk prediction (experimental results) Usman Roshan
Logistic regression • Gradient descent algorithm to minimize logistic loss • Sigmoid function given by
SVM • Two implementations: • SVM-light • BMRM