From 8ba1b5fb65e14b10c270a78a02ada82d8adbc9e5 Mon Sep 17 00:00:00 2001 From: saketGuptaTiger Date: Wed, 15 Nov 2017 16:57:57 +0530 Subject: [PATCH] clean --- logisticRegression.py | 36 ------------------------------------ 1 file changed, 36 deletions(-) diff --git a/logisticRegression.py b/logisticRegression.py index 8b13527..b970ed6 100644 --- a/logisticRegression.py +++ b/logisticRegression.py @@ -32,39 +32,3 @@ # Making the Confusion Matrix from sklearn.metrics import confusion_matrix cm = confusion_matrix(y_test, y_pred) - -# 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('Logistic Regression (Training set)') -plt.xlabel('Age') -plt.ylabel('Estimated Salary') -plt.legend() -plt.show() - -# Visualising the Test set results -from matplotlib.colors import ListedColormap -X_set, y_set = X_test, y_test -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('Logistic Regression (Test set)') -plt.xlabel('Age') -plt.ylabel('Estimated Salary') -plt.legend() -plt.show() \ No newline at end of file