Support Vector Regression in Python – Step 2.) Split the Training Set and Testing Set

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#Import Libraries

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

#Import data
dataset = pd.read_csv(‘SVR Data.csv’)
x = dataset.iloc[:,1:2].values
y =dataset.iloc[:,2].values

# Splitting the dataset 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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