1.Supervised Learning/2.Classification/5.Logistic Regression/Breast Cancer Coimbra Dataset (UCI) prediction.ipynb

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, LG.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('Distance')
plt.ylabel('Cities')
plt.legend()
plt.show()

ValueError Traceback (most recent call last)
in
4 X1, X2 = np.meshgrid(np.arange(start = X_set[:, 0].min() - 1, stop = X_set[:, 0].max() + 1, step = 0.01),
5 np.arange(start = X_set[:, 1].min() - 1, stop = X_set[:, 1].max() + 1, step = 0.01))
----> 6 plt.contourf(X1, X2, LG.predict(np.array([X1.ravel(), X2.ravel()]).T).reshape(X1.shape),
7 alpha = 0.75, cmap = ListedColormap(('red', 'green')))
8 plt.xlim(X1.min(), X1.max())

~\Anaconda3\lib\site-packages\sklearn\linear_model\base.py in predict(self, X)
279 Predicted class label per sample.
280 """
--> 281 scores = self.decision_function(X)
282 if len(scores.shape) == 1:
283 indices = (scores > 0).astype(np.int)

~\Anaconda3\lib\site-packages\sklearn\linear_model\base.py in decision_function(self, X)
260 if X.shape[1] != n_features:
261 raise ValueError("X has %d features per sample; expecting %d"
--> 262 % (X.shape[1], n_features))
263
264 scores = safe_sparse_dot(X, self.coef_.T,

ValueError: X has 2 features per sample; expecting 9

Hi, I wonder will there be some kind of license issues, when they are using your work for profit.

Thanks.

That is not an issue, but im just wondering what is the use of the frozenset in the mining frequent pattern step

where is blog for ECLAT
as mentioned in
https://medium.com/machine-learning-researcher/association-rule-apriori-and-eclat-algorithm-4e963fa972a4
Association Rule(Apriori and Eclat Algorithms) with Practical Implementation