Principal Component Analysis (PCA) in Python – Step 2.) Split Data into Training Set and Testing Set

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# Import the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# Import Data
dataset = pd.read_csv(‘PCA data.csv’)
X = dataset.iloc[:, 0:13].values
y = dataset.iloc[:, 13].values

# Split into the Training set and Test set
from sklearn.cross_validation import train_test_split
Xtrain, Xtest, ytrain, ytest = train_test_split(X, y, test_size = 0.2)


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