An observation is misclassified if the predicted target category is different from the observed target category.
computer science
Description
CS 484: Introduction to Machine Learning
An observation is misclassified if the predicted target category is different from the observed target category. The misclassification rate is the proportion of observations that are misclassified. The following diagram shows the classification tree for a binary target variable. The target categories are 0 and 1. Based on the diagram, please calculate the misclassification rate.
