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Update classification_template.py #2

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20 changes: 3 additions & 17 deletions Part 3 - Classification/Section 20 - Random Forest Classification/classification_template.py
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Expand Up @@ -12,7 +12,7 @@

# 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)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.20, random_state = 0)

# Feature Scaling
from sklearn.preprocessing import StandardScaler
Expand All @@ -33,21 +33,7 @@
# Visualising the Training set results
from matplotlib.colors import ListedColormap
X_set, y_set = X_train, y_train
X1, X2 = np.meshgrid(np.arange(start = X_set[:, 0].min() - 1, stop = X_set[:, 0].max() + 1, step = 0.01),
np.arange(start = X_set[:, 1].min() - 1, stop = X_set[:, 1].max() + 1, step = 0.01))
plt.contourf(X1, X2, classifier.predict(np.array([X1.ravel(), X2.ravel()]).T).reshape(X1.shape),
alpha = 0.75, cmap = ListedColormap(('red', 'green')))
plt.xlim(X1.min(), X1.max())
plt.ylim(X2.min(), X2.max())
for i, j in enumerate(np.unique(y_set)):
plt.scatter(X_set[y_set == j, 0], X_set[y_set == j, 1],
c = ListedColormap(('red', 'green'))(i), label = j)
plt.title('Classifier (Training set)')
plt.xlabel('Age')
plt.ylabel('Estimated Salary')
plt.legend()
plt.show()

Comment on lines -36 to -50
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This code is here so that we can visualize the classifier results on training set. Why do you want to remove this code block?

X1, X2 = np.meshgrid(np.arange(start = X_set[:, 0].min() - 1, stop = X
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Seems like a syntax error to me. Ending brackets are missing, aren't they?

# Visualising the Test set results
from matplotlib.colors import ListedColormap
X_set, y_set = X_test, y_test
Expand All @@ -64,4 +50,4 @@
plt.xlabel('Age')
plt.ylabel('Estimated Salary')
plt.legend()
plt.show()
plt.show()