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 f$1$ 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.$)$