JuniorMultiple choiceWhat does the recall metric measure in a classification model?AThe proportion of false positives correctly identifiedBThe proportion of true negatives correctly identifiedCThe proportion of false negatives correctly identifiedDThe proportion of actual positives correctly identifiedCheck answer
Mid-levelMultiple choiceWhat is the F1 Score and when is it particularly useful?AA metric that combines accuracy and recall, useful for balanced class distributionsBA metric that measures only recall, useful for imbalanced class distributionsCA metric that combines recall and precision, useful for imbalanced class distributionsDA metric that measures only precision, useful for balanced class distributionsCheck answer
Mid-levelMultiple choiceWhat does the AUC-ROC curve evaluate in a binary classification model?AThe model's ability to predict the exact class labelsBThe model's precisionCThe model's overall accuracyDThe model's ability to distinguish between two classesCheck answer
JuniorMultiple choiceHow do you calculate accuracy using a confusion matrix?Aaccuracy = (TP + FN) / (TP + TN + FP + FN)Baccuracy = (TP + FP) / (TP + TN + FP + FN)Caccuracy = (TN + FP) / (TP + TN + FP + FN)Daccuracy = (TP + TN) / (TP + TN + FP + FN)Check answer
Mid-levelMultiple choiceHow can you evaluate a classification model for medical diagnosis?AOnly by using accuracy.BUsing accuracy, sensitivity, and specificity.CBy analyzing the training time.DBy checking the code quality.Check answer
