Breast cancer data has been utilized from the UCI machine learning repository http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29 for illustration purposes. Here the task is to find whether the cancer is malignant or benign based on various collected features such as clump thickness and so on using the KNN classifier:
# KNN Classifier - Breast Cancer
>>> import numpy as np
>>> import pandas as pd
>>> from sklearn.metrics import accuracy_score,classification_report
>>> breast_cancer = pd.read_csv("Breast_Cancer_Wisconsin.csv")
The following are the first few rows to show how the data looks like. The Class value has class 2 and 4. Value 2 and 4 represent benign ...
