推荐系统的预测结果与真实结果的相关性统计如下表所示： The correlation statistics between the predicted results of the recommender system and the real results are shown in the following table: 选中selected 未选中unselected total 相关related  4 2 6 不想关unrelated 3 1 4 total 7 3 10 请计算准确率 Please calculate the P单项选择题

A

4/7

B

2/3

C

8/13

D

2/5

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Question7 In machine learning, a confusion matrix is: a procedure to evaluate the speed of the prediction a technique to evaluate the amount of resources used across different machine learning models a technique to measure the accuracy of the machine learning model a table that is often used to describe the performance of a classification model ResetMaximum marks: 0.5 Flag question undefined

What is the purpose of a "Confusion Matrix" in logistic regression analysis?

Question at position 16 In a confusion matrix, which of the following is False?True Positive Rate (TPR) is also called SensitivityROC curve plots Sensitivity as y-axis against (1-Specificity) as x-axisTrue Negative Rate (TNR) is also called SpecificityThe values TP, FN, FP, TN in a confusion matrix do not depend on your choice of probability threshold

Question at position 16 In a confusion matrix, which of the following is False?The values TP, FN, FP, TN in a confusion matrix do not depend on your choice of probability threshold ROC curve plots Sensitivity as y-axis against (1-Specificity) as x-axisTrue Negative Rate (TNR) is also called SpecificityTrue Positive Rate (TPR) is also called Sensitivity

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