我正在测试这段代码：

df1 = df[['Group', 'Sector', 'Cat2', 'Cat3', 'Cat4', 'Cat5', 'Cat6', 'Industry', 'Market', 'Price']].copy()
df1 = df1[:100000]
df1.shape

df1 = df1.fillna(0)

df1 = pd.get_dummies(df1)

X = df1.drop(['Price'], axis=1)
y = df1['Price']

from sklearn.model_selection import train_test_split
# Split dataset into training set and test set
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3) # 70% training and 30% test

#Import Random Forest Model
from sklearn.ensemble import RandomForestClassifier

# Create the model with 100 trees
model = RandomForestClassifier(n_estimators=100, 
                               bootstrap = True,
                               max_features = 'sqrt')
# Fit on training data
model.fit(X_train, y_train)

我在这一行得到一个错误：model.fit(X_train, y_train)
这是我的错误：ValueError: Unknown label type: 'continuous'
我的设置是这样的：我有很多领域在'df'，我复制了一些'df 1'。这些都是绝对的：'Group', 'Sector', 'Cat2', 'Cat3', 'Cat4', 'Cat5', 'Cat6', 'Industry', 'Market'
这是一个数字：'Price'
我使用one-hot编码将分类项目转换为数字项目，数字（价格）保持不变。这个设置有什么问题吗，还是它很好？