Classification: Test Your Knowledge Return to pathway Increasing a binary classifier’s threshold value is likely to produce which of the following effects? False positives increase False positives decrease False positives and false negatives both increase False positives and false negatives both decrease The dataset that you split into train, test and evaluate sets has 9,998 negative examples and 2 positive examples. The resulting model has an accuracy rate of 99.9%. Can you trust this model based on that accuracy metric? Yes No In general, when precision increases, what happens to recall? Recall is unaffected. Recall increases exponentially. Recall decreases. Recall increases linearly. True or False: The points on a binary classification model’s ROC (receiver-operating characteristic) curve closest to (1,1) (the upper-right corner) generally represent the best-performing thresholds for the model True False You are evaluating the performance of two binary classification models: Model A and Model B. Model A has an AUC of 0.5. Model B's predictions are made completely randomly. Which of the following statements is true? Model A performs better than Model B Model B performs better than Model A Model A and Model B perform equally well None of the above Submit answers error_outline An error occurred when grading the quiz. Please try again.
