underlying patterns in the training data, leading to poor performance on

both training and test sets, is said to be:

to measure the impurity of a node for a classification task?

reinforcement learning problem?

of the K-Means algorithm?

closest data points (the support vectors) in an SVM is called the:

unbiased evaluation of a final trained model’s performance is called

the:

of 0.5 would be considered:

divided?

correctly identifies 150 of them. What is the model’s Recall?

important when the cost of a False Negative (e.g., failing to detect a

serious illness) is very high?