Delete sample_classification.py

sample_classification.py

@@ -1,25 +0,0 @@
-import numpy as np
-from sklearn.linear_model import LogisticRegression
-
-# Generate random data
-X = np.random.randint(0, 100, (1000, 2))
-y = np.random.randint(0, 2, 1000)
-
-# Split the data into training and test sets
-X_train = X[:750]
-y_train = y[:750]
-X_test = X[750:]
-y_test = y[750:]
-
-# Create the classifier
-clf = LogisticRegression()
-
-# Train the classifier
-clf.fit(X_train, y_train)
-
-# Predict the labels of the test set
-y_pred = clf.predict(X_test)
-
-# Evaluate the accuracy of the classifier
-accuracy = np.mean(y_pred == y_test)
-print("Accuracy:", accuracy)