我是机器学习的新手，正试图解决kaggle竞争的房屋价格问题。.我正在尝试运行此代码并拟合此模型，但输出错误。.由于我是新手，请提供帮助并进行解释。 ..提前谢谢
我尝试在Google中搜索，但显示多类错误，不知道它是什么，并将解决方案显示为“ mlogloss”或“ merror”
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeRegressor
from learntools.core import *
from xgboost import XGBRegressor
iowa_file_path = '../input/train.csv'
home_data = pd.read_csv(iowa_file_path)
y = home_data.SalePrice
features = ['LotArea', 'YearBuilt', '1stFlrSF', '2ndFlrSF', 'FullBath',
'BedroomAbvGr', 'TotRmsAbvGrd']
X = home_data[features]
train_X, val_X, train_y, val_y = train_test_split(X, y, random_state=1)
iowa_model = XGBRegressor(n_estimators=1000,learning_rate=0.05)
iowa_model.fit(train_X, train_y,early_stopping_rounds=5,eval_set=
[(train_X,val_y)],verbose=False)
答案 0 :(得分：0)
您尝试了“错别字”
iowa_model.fit(train_X, train_y,early_stopping_rounds=5,eval_set= [(val_X,val_y)],verbose=False)