$1.$ Split the data set into $110$ rows for training, and the rest $(40)$ for testing. Use a the seed random$\_$state$=1$ when sampling.

$2.$ Compare the following classification algorithms by printing the accuracy of each one. You can learn how to use these classifiers on the scikit$-$learn website. Apply standardization when needed to improve the accuracy.

KNeighborsClassifier

ExtraTreesClassifier

SVC

MLPClassifier

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