INT104-lab8

5折交叉验证，测试10次，取平均值：

import random


def read(path: str) -> tuple:
    with open(path, "r") as f:
        text = f.readlines()
        M = []
        for row in text:
            m = []
            substr = str.split(row, "
")[0]
            for a in str.split(substr, ","):
                m.append(a)
            M.append(m)
    return M, len(M), 5, len(M) // 5, 10


def calculateAccuracy(M: list, N: int, groupSize: int) -> float:
    accuracyArray = []
    for groupNumber in range(N):
        count = 0
        for i in range(groupSize):
            index = groupNumber * groupSize + i
            if M[index][0] == M[index][1]:
                count += 1
        accuracy = count / groupSize
        accuracyArray.append(accuracy)
        # print("[%2d / %2d = %.3f]" % (count, groupSize, accuracy))
    return accuracyArray[N - 1]


if __name__ == '__main__':
    path = "predict_data.txt"
    M, size, N, groupSize, verifyTime = read(path)
    accuracyArray = []
    print("Verifying...")
    for n in range(verifyTime):
        random.shuffle(M)
        averageAccuracy = calculateAccuracy(M, N, groupSize)
        accuracyArray.append(averageAccuracy)
        print("%2d times, accuracy: %.3f" % (n + 1, averageAccuracy))
    print("averageAccuracy = %.5f" % (sum(accuracyArray) / len(accuracyArray)))