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Lab$\_01\_$classification.ipynb

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What is classification?

Why do we split the data to train and test sets?

Write down the code for spliting a set to train and test subsets.

Write down the code for training, testing and evaluating an arbitrary classifier. $(3$ lines of the code$)$

Which command in trains a model?

Why do we predict just on the test set?

What is the accuracy of a classification and how is it calculated?

How does a random forest work? $($Explained in the lab$)[2]$Reference: scikit$-$learn Machine Learning Library for PythonIris dataset