The data set is from UCI Repository and it can be found here: https://archive.ics.uci.edu/ml/machine-learning-databases/breast-cancer-wisconsin/
In order to test the models, the dataset is divided into a training and a test set. For this purpose, the k-fold cross validation method is applied, with k=10.
Classifiers:
- Multilayer Perceptron
- K-NN
- Naive Bayes
- SVM
- Decision Trees
We use each classifier twice with different arguments in order to see how well it behaves.