There are a number of ways to measure the performance of a machine learning model. The most common metric is accuracy, which measures the percentage of correctly classified instances. Other popular metrics include precision, recall, and F1 score.
There are a number of ways to measure the performance of a machine learning model. The most common metric is accuracy, which measures the percentage of correctly classified instances. Other popular metrics include precision, recall, and F1 score.