Statistics for Machine Learning by Pratap Dangeti

Author:Pratap Dangeti
Language: eng
Format: epub, mobi
Tags: COM077000 - COMPUTERS / Mathematical and Statistical Software, COM062000 - COMPUTERS / Data Modeling and Design, COM018000 - COMPUTERS / Data Processing
Publisher: Packt
Published: 2017-07-21T14:16:34+00:00

KNN classifier with breast cancer Wisconsin data example

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 and malignant class, respectively. Whereas all the other variables do vary between value 1 and 10, which are very much categorical in nature:

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