submit_example.csv就是全量样本的id;
train_label.csv字段解释
id label
a35c4353-bac5-4054-97db-8ee74d6263f9 “0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0...”
rain_label.csv label的18个数字,分别表示【正常,窦性心律,窦性心动过速,窦性心动过缓,窦性心律不齐,房性早搏,房性逸搏,
房性心动过速,心房颤动,心房扑动,室性早搏,I...房室内传导阻滞,右束支传导阻滞,左束支传导阻滞,
ST段异常,T波异常】
评分标准
from sklearn.metrics import f1_scoreimport numpy as np
x = [[0,1,0,1,0...],[1,1,0,1,0],[0,0,1,0,0],[1,0,0,0,1],[1,0,0,1,1]]
y = [[1,1,0,0,1],[1,1,0,1,0],[1,1,0,0,0],[1,0,1,0,0...],[0,0,1,0,1]]
x = np.array(x)
y = np.array(y)
score = f1_score(x,y, average='macro')
思路介绍
大致思路:每个导联作为一个通道