The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity. The goal of a ...
Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...
Results Over each 200 model iterations, logistic regression had the highest recall, F1-Score, and ROC-AUC score with 0.60 ± 0.14, 0.33 ± 0.06, and 0.68 ± 0.08 respectively. Random forest had the ...
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