ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
ISYE 6501 - Final Prep – Midterm Questions With Correct Answers Types of classification models KNN SVM Types of Clustering Models K-Means Clustering Types of Response Prediction Models ARIMA CART Exponential Smoothing Linear Regression Logistic Regression Random Forest Types of Validation Method Cross Validation Types of Variation Estimate Models GARCH Models that use Time Series Data ARIMA CUSUM GARCH Exponential Smoothing Do models tend to perform better or worse on test sets? Worse, because models are fit to the training data so they'll likely perform worse on the test set. How are margins defined
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