Python 如何在分为训练、验证和测试的数据集上使用SMOTE
我创建了虚拟变量，并编写了以下代码：Python 如何在分为训练、验证和测试的数据集上使用SMOTE,python,Python,我创建了虚拟变量，并编写了以下代码： from imblearn.over_sampling import SMOTE from collections import Counter counter = Counter(y_train) print('before',counter) # Oversampling the train dataset using SMOTE smt = SMOTE() #X_train, y_train = smt.fit
from imblearn.over_sampling import SMOTE
from collections import Counter
counter = Counter(y_train)
print('before',counter)
# Oversampling the train dataset using SMOTE
smt = SMOTE()
#X_train, y_train = smt.fit_resample(X_train,y_train)
X_train_sm, y_train_sm = smt.fit_resample(X_train, y_train)
counter = Counter(y_train_sm)
print('After', counter)
ValueError Traceback (most recent call last)
<ipython-input-76-b9dbb8e1c560> in <module>
8 smt = SMOTE()
9 #X_train, y_train = smt.fit_resample(X_train,y_train)
---> 10 X_train_sm, y_train_sm = smt.fit_resample(X_train, y_train)
11
12 counter = Counter(y_train_sm)
ValueError: could not convert string to float: 'M'
ValueError回溯（最近一次调用）
在里面
8 smt=SMOT（）
9#X#u列，y#u列=smt.拟合重采样（X#u列，y#u列）
--->10 X\u列\u sm，y\u列\u sm=smt.拟合重采样（X\u列，y\u列）
11
12计数器=计数器（y\U列\U sm）
ValueError:无法将字符串转换为浮点：“M”