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4.1 a. What evaluation measure/plot (i.e., classification accuracy rate, ROC area, lift chart, or profit chart) would be most appropriate to select the predictive model
4.1 a. What evaluation measure/plot (i.e., classification accuracy rate, ROC area, lift chart, or profit chart) would be most appropriate to select the predictive model based on which to select players to invest in? Why? (15 points) 4.2 Use the training data with 10-fold cross-validation, as well as the evaluation measure/plot you selected in (4.1), to compare between models and to select the model that performs best. Present your results to support your choice of the best model to use. Present the evidence based on which you select the model. (20 points)
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