Question: CODE IN PYTHON In this problem you are required to pick a benchmark dataset ( from UCI repository or other authoritative resources ) , partition

CODE IN PYTHON In this problem you are required to pick a benchmark dataset (from UCI repository or other
authoritative resources), partition it into train and test components and apply various
classification techniques. For each classification technique, you should display in a common
plot how the accuracy, precision, recall and f1 score are varying for different ratios of train/test CHOOSE FETAL HEALTH DATA SET
of the original dataset. (Note: there will be a different graph for each classification technique.)

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