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Update classification_template.py #2

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14 changes: 3 additions & 11 deletions ...on/Section 15 - K-Nearest Neighbors (K-NN)/K_Nearest_Neighbors/classification_template.py
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Original file line number Diff line number Diff line change
@@ -1,16 +1,14 @@
# Classification template

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

# Importing the dataset

dataset = pd.read_csv('Social_Network_Ads.csv')
X = dataset.iloc[:, [2, 3]].values
y = dataset.iloc[:, 4].values

# Splitting the dataset into the Training set and Test set

from sklearn.cross_validation import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)

Expand All @@ -19,14 +17,8 @@
sc = StandardScaler()
X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)

# Fitting classifier to the Training set
# Create your classifier here

# Predicting the Test set results
y_pred = classifier.predict(X_test)

# Making the Confusion Matrix
from sklearn.metrics import confusion_matrix
cm = confusion_matrix(y_test, y_pred)

Expand Down Expand Up @@ -64,4 +56,4 @@
plt.xlabel('Age')
plt.ylabel('Estimated Salary')
plt.legend()
plt.show()
plt.show()