import numpy as np

def weighted_voting(acc_cnn, acc_gru): weights = [0.85, 0.97, 0.96, 0.97, 0.98, 1.0, 0.96, 1.0] acc_cnn = np.array(acc_cnn) acc_gru = np.array(acc_gru)

# Calculate weighted average
weighted_avg = (weights[0] * acc_cnn + weights[1] * acc_gru) / sum(weights)

# Perform classification based on weighted average
predictions = np.argmax(weighted_avg)

return predictions

Example usage

acc_cnn = [0.85, 0.97, 0.96, 0.97, 0.98, 1.0, 0.96, 1.0] acc_gru = [0.95, 0.9, 0.94, 0.97, 0.98, 1.0, 0.66, 1.0]

predictions = weighted_voting(acc_cnn, acc_gru) print(predictions)