Problem_7:Problem: Train a K-Nearest Neighbors (KNN) classifier using Scikit-learn. #upgrade2python

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#pythoncode :

# Load dataset
iris = load_iris()

# Split dataset
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Train KNN classifier
knn = KNeighborsClassifier(n_neighbors=3)

# Predict and evaluate
accuracy = accuracy_score(y_test, y_pred)

print(f'Accuracy: {accuracy}')

Explanation: This code trains a KNN classifier on the Iris dataset, splits the data, and evaluates the model's accuracy.

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