Solution: Which Classifier Works Well?
Let us test which classifier works well on the diabetes dataset.
Challenge
Given the diabetes_dataset.csv
and test_data.csv
files, determine which of the following three classifiers works best on the given dataset:
- Support vector machine (SVM)
- Random forest classifier (RFC)
- Multilayer perceptron (MLP)
The test set and train set have already been loaded in the variables (X_train, Y_train)
and (X_test, Y_test)
respectively.
Solution
Let’s see the solutions for all the three classifiers on the diabetes dataset and figure out which classifier works best.
Support vector machine (SVM)
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