What dataset should I use for my first model?
The Iris Flower or Titanic datasets are excellent, simple datasets widely used by beginners.
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We train the model on training data and test it on unseen testing data to measure how well it generalizes to new data.
Overfitting occurs when a model learns the training data too well, including its noise, resulting in poor performance on new data.
Common metrics include Accuracy, Precision, Recall, and F1-Score depending on the distribution of classes.
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