How do you calculate misclassification rate?
How do you calculate misclassification rate? Misclassification Rate: It tells you what fraction of predictions were incorrect. It is also known as Classification Error. You can calculate it using (FP+FN)/(TP+TN+FP+FN) or (1-Accuracy). Precision: It tells you what fraction of predictions as a positive class were actually positive. How is F1 Micro calculated? To calculate the micro-F1, we first compute micro-averaged precision and micro-averaged recall over all the samples , and then combine the two. How do we “micro-average”? We simply look at all the samples together. Remember that precision is the proportion of True Positives out of the Predicted Positives...