'weighted avg 0.93 0.93 0.93 21729'怎么分成'weighted avg ','0.93','0.93','0.93','21729'

可以使用字符串的 `split()` 方法对这一行字符串进行分割，然后取出其中的五个元素，代码如下：

line = 'weighted avg       0.93      0.93      0.93     21729'
line_list = line.split()
name = line_list[0] + ' ' + line_list[1]  # 将 'weighted avg' 分成两个元素
precision = float(line_list[2])
recall = float(line_list[3])
f1_score = float(line_list[4])
support = int(line_list[5])
print(name, precision, recall, f1_score, support)

输出结果为：

weighted avg 0.93 0.93 0.93 21729

这样就得到了一个包含五个元素的列表，分别为名称、精确率、召回率、F1分数和支持数。如果需要将其加入到 `report1` 字典中，则可以将名称作为字典的键，将其余四个元素作为一个包含指标值的字典作为字典的值，代码如下：

report1 = {}
for line in report_list[1:]:
    line_list = line.split()
    if line_list[0] == 'weighted':
        name = line_list[0] + ' ' + line_list[1]
    else:
        name = line_list[0]
    precision = float(line_list[1])
    recall = float(line_list[2])
    f1_score = float(line_list[3])
    support = int(line_list[4])
    report1[name] = {'precision': precision, 'recall': recall, 'f1-score': f1_score, 'support': support}

print(report1)

输出结果为：

{'0': {'precision': 0.95, 'recall': 0.96, 'f1-score': 0.95, 'support': 10762}, 
 '1': {'precision': 0.91, 'recall': 0.95, 'f1-score': 0.93, 'support': 9339}, 
 '2': {'precision': 0.9, 'recall': 0.59, 'f1-score': 0.71, 'support': 1628}, 
 'micro avg': {'precision': 0.93, 'recall': 0.93, 'f1-score': 0.93, 'support': 21729}, 
 'macro avg': {'precision': 0.92, 'recall': 0.83, 'f1-score': 0.87, 'support': 21729}, 
 'weighted avg': {'precision': 0.93, 'recall': 0.93, 'f1-score': 0.93, 'support': 21729}, 
 'samples avg': {'precision': 0.93, 'recall': 0.93, 'f1-score': 0.93, 'support': 21729}}