SVM_using_load_breast_cancer.py

#!/usr/bin/env python
# coding: utf-8

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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


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from sklearn.datasets import load_breast_cancer


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cancer = load_breast_cancer()


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X =cancer.data
y = cancer.target
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3, random_state = 101)


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from sklearn.svm import SVC


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model = SVC()
model.fit(X_train,y_train)


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predictions = model.predict(X_test)
from sklearn.metrics import classification_report,confusion_matrix
print(confusion_matrix(y_test,predictions))


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print(classification_report(y_test,predictions))


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