Highlights
INTRODUCTION
So far you saw some techniques how to
Explore structures in a dataset
Detect relationships/effects in a dataset
And make predictions based on these relationships/effects
Learning goals today:
Understand intuition behind “good” models from an explaining and predicting perspective
Understand the problem of “overfitting”
Understand various techniques/metrics to evaluate the predictive performance of models for regression and classification problems
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