我的数据集中有2个分类器值1和0，并且我有67个图像及其系数。如何使用分类器对此进行回归分析？
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv("bogu.csv",sep = ";")
x = df.iloc[:,0].values.reshape(-1,1)
y = df.iloc[:,1].values.reshape(-1,1)
x = x.astype(np.float)
y = y.astype(np.float)
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = 0.2,random_state=42)
from sklearn.preprocessing import StandardScaler
sc_X = StandardScaler()
x_train = sc_X.fit_transform(x_train)
x_test = sc_X.transform(x_test)
from sklearn.linear_model import LogisticRegression
classifier = LogisticRegression(random_state = 42)
classifier.fit(x_train, y_train)
y_pred = classifier.predict(x_test)
"""from sklearn.metrics import confusion_matrix
cm = confusion_matrix(y_test, y_pred)
print(cm)
[[30,3],[10,24]]"""
result = df.predict(x_test)
from sklearn.metrics import confusion_matrix
# Parametre olarak karşılaştıracağımız verileri giriyoruz.
# y_test : Cinsiyet Test Verisi
# result : x_test verisinden tahmin ettiğimiz cinsiyet verileri
cm = confusion_matrix(y_test,result)
print(cm)
文件 “ C：\ Users \ User \ Anaconda2 \ envs \ jupyterlab \ lib \ site-packages \ sklearn \ utils \ multiclass.py”， 第169行，在check_classification_targets中 引发ValueError（“未知标签类型：％r”％y_type）
ValueError：未知标签类型：“连续”
我的数据集中有2个分类器值1和0，并且我有67个图像及其系数。如何使用分类器对此进行回归分析？