Task:

Below is a link for breast cancer dataset:

http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html#sklearn.datasets.load_breast_cancer

Experiment with two classifiers: SVM and Nearest Neighbors on the breast cancer dataset and report the accuracy. Accuracy = (number of correct classification) / (total number of test samples).

There are 569 samples in the dataset. Use first 285 for training and the rest for testing.

Note: You should use Scikit-learn.

Deliverables:

(1) Report including (i) data division and (2) accuracy of each classifiers,

(2) Discussion of the results,

(3) Source code.