Introduction to Model Evaluation in R
What is Model Evaluation?
Model evaluation is the process of measuring how well a machine learning model performs on unseen data. It helps determine whether the model can generalize beyond the training dataset.
Why Evaluation is Important
- Prevents overfitting
- Measures prediction accuracy
- Compares multiple models
- Improves model reliability
r
library(caret)
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