카테고리 없음
decisiontree
xemaker
2024. 2. 19. 18:31
import json
import pandas as pd
with open('A.json', 'r',encoding='UTF-8') as f:
data=json.load(f)
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
plt.rc('font', family='NanumGothicCoding'_
sns.set(font="Malgun Gothic', rc={"aes.unicode_minus":False}, style='white')
df=pd.read_json("A.json")
sns.countplot(x="Address1", data=df)
from sklearn.tree import DecisionTreeClassifier
dt=DecisionTreeClassifier(random_state=1001, max_depth=5)
dt_model=dt.fit(X_train, y_train)
y_pred=dt.predict(X_valid)
from sklearn.metrics import mean_squared_error
dt_mae=mean_squared_error(y_valid, y_pred)
dt_mae