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This is first attempt to create blog posts using my personal website. |
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from sklearn.linear_model import LogisticRegression from sklearn.datasets import make_classification from sklearn.model_selection import train_test_split # Generate a synthetic binary classification dataset X, y = make_classification( n_samples=100, n_features=2, n_informative=2, n_redundant=0, n_repeated=0, n_classes=2, random_state=42 ) # Split into train and test sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Create and fit logistic regression model model = LogisticRegression() model.fit(X_train, y_train) # Predict on test set y_pred = model.predict(X_test) # Print accuracy print("Accuracy:", model.score(X_test, y_test)) |
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Accuracy: 0.95 |