INT104-lab8

5折交叉验证，测试10次，取平均值：
 1 import random
 2 
 3 
 4 def read(path: str) -> tuple:
 5     with open(path, "r") as f:
 6         text = f.readlines()
 7         M = []
 8         for row in text:
 9             m = []
10             substr = str.split(row, "
")[0]
11             for a in str.split(substr, ","):
12                 m.append(a)
13             M.append(m)
14     return M, len(M), 5, len(M) // 5, 10
15 
16 
17 def calculateAccuracy(M: list, N: int, groupSize: int) -> float:
18     accuracyArray = []
19     for groupNumber in range(N):
20         count = 0
21         for i in range(groupSize):
22             index = groupNumber * groupSize + i
23             if M[index][0] == M[index][1]:
24                 count += 1
25         accuracy = count / groupSize
26         accuracyArray.append(accuracy)
27         # print("[%2d / %2d = %.3f]" % (count, groupSize, accuracy))
28     return accuracyArray[N - 1]
29 
30 
31 if __name__ == '__main__':
32     path = "predict_data.txt"
33     M, size, N, groupSize, verifyTime = read(path)
34     accuracyArray = []
35     print("Verifying...")
36     for n in range(verifyTime):
37         random.shuffle(M)
38         averageAccuracy = calculateAccuracy(M, N, groupSize)
39         accuracyArray.append(averageAccuracy)
40         print("%2d times, accuracy: %.3f" % (n + 1, averageAccuracy))
41     print("averageAccuracy = %.5f" % (sum(accuracyArray) / len(accuracyArray)))
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