11 What is the accuracy of the model that generated the confusion matrix? 35000 30000 35801 676 F 25000 20000 True label 15000 1 9715 439 10000 5000 Predicted label 0.78 0.21 0.39 0.04 12 What is the recall of the model that generated the confusion matrix? 35000 30000 0 35801 676 25000 20000 True label 15000 1 9715 439 10000 - 5000 0 1 Predicted label 0.39 0.04 0.78 0.21 13 When using the Random ForestClassifier from sklearn, which parameter do we use to set the number of trees in the forest? max_iter max_depth n_estimators n_trees 14 How does SMOTE address class imbalance? Upsample the minority class by creating synthetic rows based on the existing data Downsample the majority class by removing instances randomly without replacing any Upsample the minority class by duplicating existing data with replacement 15 What does SMOTE stand for? Sensible Minority Oversampling Technique Synthetic Minority Oversampling Technique Sensible Majority Oversampling Technique ( ) Synthetic Majority Oversampling Technique