Logistic Regression is one of the most common classification algorithms. The default value of C=1 provides with 78% accuracy on the training and 77% accuracy on the test set. Using C=0.01 results in lower accuracy on both the training and the test sets.
Which classifier is more suitable for the diabetes data set?
Logistic Regression is one of the most common classification algorithms. The default value of C=1 provides with 78% accuracy on the training and 77% accuracy on the test set. Using C=0.01 results in lower accuracy on both the training and the test sets.