代码：
#
with open ("6NW12B(e817n833,e818n833)_pred.txt","r") as f:
data_pred=[]
f=f.readlines()
for i in f:
i=i.split("\n")[0]
data_pred.append(int(i))
print(len(data_pred))
print(data_pred[:10])
with open ("6NW12B(e817n833,e818n833)_truth.txt","r") as f:
data_truth=[]
f=f.readlines()
for i in f:
i=i.split(" ")[-1].split("\n")[0]
data_truth.append(int(i))
print(len(data_truth))
print(data_truth[:10])
tp=0 # TP（True Positive）：真正例，真值和预测值都是正例
fp=0 # FP（False Positive）：假正例，真值是负例，预测值是正例
tn=0 # TN（True Negative）：真负例，真值和预测值都是负例
fn=0 # FN（False Negative）：假负例，真值是正例，预测值是负例
# 设 1是正例 2 是负例
for i in range(len(data_truth)):
if data_truth[i]==1 and data_pred[i]==1 :tp+=1
if data_truth[i]==2 and data_pred[i]==1 :fp+=1
if data_truth[i]==2 and data_pred[i]==2 :tn+=1
if data_truth[i] == 1 and data_pred[i] == 2:fn += 1
print("tp--fp--tn--fn")
print(tp,fp,tn,fn)
# import numpy as np
#
# # 计算混淆矩阵
# def compute_confusion_matrix(precited,expected):
# part = precited ^ expected # 对结果进行分类，亦或使得判断正确的为0,判断错误的为1
# pcount = np.bincount(part) # 分类结果统计，pcount[0]为0的个数，pcount[1]为1的个数
# tp_list = list(precited & expected) # 将TP的计算结果转换为list
# fp_list = list(precited & ~expected) # 将FP的计算结果转换为list
# tp = tp_list.count(1) # 统计TP的个数
# fp = fp_list.count(1) # 统计FP的个数
# tn = pcount[0] - tp # 统计TN的个数
# fn = pcount[1] - fp # 统计FN的个数
# return tp, fp, tn, fn
#
# # 计算常用指标
# def compute_indexes(tp, fp, tn, fn):
# print(tp+tn,tp+tn+fp+fn)
# accuracy = float((tp+tn) / (tp+tn+fp+fn)) # 准确率
# precision = tp / (tp+fp) # 精确率
# recall = tp / (tp+fn)
# print(2*precision*recall,precision+recall)# 召回率
# F1 = float((2*precision*recall) / (precision+recall)) # F1
# return accuracy, precision, recall, F1
#
# # 测试代码
# precited = np.array(data_pred)
# expected = np.array(data_truth)
# tp, fp, tn, fn = compute_confusion_matrix(precited, expected)
# print(f"TP: {tp}")
# print(f"FP: {fp}")
# print(f"TN: {tn}")
# print(f"FN: {fn}")
# accuracy, precision, recall, F1 = compute_indexes(tp, fp, tn, fn)
# print(f"Accuracy: {accuracy}")
# print(f"Precision: {precision}")
# print(f"Recall: {recall}")
# print(f"F1: {F1}")
