logistic regression

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. On this blog, we are going to explore one other vital classification metric called the Gini Coefficient. Why do we've multiple classification...

we cope with classification algorithms in machine learning like Logistic Regression, K-Nearest Neighbors, Support Vector Classifiers, etc., we don’t use evaluation metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE) or Root...

You will discover the complete code for this instance at the underside of this post. odds model for ordinal logistic regression was first introduced by McCullagh (1980). This model extends binary logistic regression to situations...

The primary documented case of pancreatic cancer dates back to the 18th...