A classification model's misclassification rate on the validation set is a better measure of the model's predictive
Question:
A classification model's misclassification rate on the validation set is a better measure of the model's predictive ability on new (unseen) data than its misclassification rate on the training set. Explain whether this statement is accurate and why that is so.
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Asa first step in analytics we partition the data into two data sets the training data and the va...View the full answer
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Related Book For 
Forecasting And Predictive Analytics With Forecast X
ISBN: 978-1259903915
7th edition
Authors: J. Holton Wilson, Barry Keating
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