def calculate_freq_accuracy(predicted_tags, actual_tags):
    freq_accuracy = defaultdict(lambda: {'correct': 0, 'incorrect': 0})
    for i in range(len(predicted_tags)):
        if predicted_tags[i] == actual_tags[i]:
            freq_accuracy[predicted_tags[i]]['correct'] += 1
        else:
            freq_accuracy[predicted_tags[i]]['incorrect'] += 1

    for tag in freq_accuracy:
        freq_accuracy[tag] = freq_accuracy[tag]['correct'] / \
            (freq_accuracy[tag]['correct'] + freq_accuracy[tag]['incorrect'])
        freq_accuracy[tag] = round(freq_accuracy[tag] * 100, 2)
        print(tag, ':', freq_accuracy[tag], '%')