23. When updating weights for a perceptron model, in which case would the weight need to increase? If the prediction error is negative. If the prediction error is positive. If the predicted output is correct. If the learning rate is equal to 1 . 24. What is an underlying assumption of Naive Bayes Classification? Classes are independent of each other. Attributes are independent of each other. Classes are conditionally independent given attributes. Attributes are conditionally independent given classes