5회 기출 2유형 답 질문드립니다!

import pandas as pd

train = pd.read_csv("train.csv")

test = pd.read_csv("test.csv")

from sklearn.preprocessing import LabelEncoder

cols = train.select_dtypes(include='object').columns

for col in cols :

  le = LabelEncoder()

  train[col] = le.fit_transform(train[col])

  test[col]=le.transform(test[col])

from sklearn.model_selection import train_test_split

X_tr, X_val, y_tr, y_val = train_test_split(train.drop(['price'],axis=1), train['price'], test_size=0.1, random_state=2022)

from sklearn.ensemble import RandomForestRegressor

from sklearn.metrics import mean_absolute_error

model=RandomForestRegressor(random_state=2022)

model.fit(X_tr, y_tr)

pred=model.predict(X_val)

pred=model.predict(test)

submit=pd.DataFrame({'price':pred})

submit.to_csv("00000.csv",index=False)

pd.read_csv("00000.csv")

답 풀이과정 자체를 외워서 풀이연습중인데요!

위처럼 해도 고득점 받을수 있을지 문의드립니다. ㅎㅎ

RMSE를 몰라서 그냥 MSE로 풀었다고 가정해봤습니다.