# Import the RocketClassifier from sktime
from sktime.classification.kernel_based import RocketClassifier

# Import the unit test dataset from sktime
from sktime.datasets import load_unit_test

# Load the training data (features and target)
X_train, y_train = load_unit_test(split="train", return_X_y=True)

# Load the testing data (features and target)
X_test, y_test = load_unit_test(split="test", return_X_y=True) 

# Initialize the RocketClassifier with 500 kernels
reg = RocketClassifier(num_kernels=500) 

# Fit the RocketClassifier model on the training data
reg.fit(X_train, y_train) 

# Predict the target values for the test data
y_pred = reg.predict(X_test) 

# Calculate the accuracy of the predictions
accuracy = np.mean(y_pred == y_test)