Question: For supervised learning, the dependent variable needs to be () A. numeric B. unknown C. qualitative D. known Which metric measures the proportion of correct



For supervised learning, the dependent variable needs to be () A. numeric B. unknown C. qualitative D. known Which metric measures the proportion of correct predictions among the total number of cases examined? A. Recall B. Precision C. True positive D. Accuracy Which dataset is used to evaluate the model's performance? A. Training set B. Test set C. Validation set D. Evaluation set Which ML algorithm assumes that similar things exist in close proximity? A. CART B. SVM C. Naive Bayes D. KNN Multiple Choice Note: For Partially Correct Answers, Points Will Be Awarded Proportionally. If You Select Even One Incorrect Option, No Points Will Be Awarded. Which of the following statement(s) about machine learning and statistical modeling is(are) correct? A. The former is explanation focused and the latter is pre B. The former uses a testing set for evaluation C. Only the former can deal with unstructured data D. Both need pre-determined hypotheses E. The former can deal with larger data sets while the lat Which of the following can be used for both classification tasks and regression tasks? A. Random Forests B. Decision Trees C. Artificial Neural Networks D. Linear Regression
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