Gelişmiş Ağaçlar Yöntemleri - Advanced Trees

import warnings
import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, VotingClassifier
from sklearn.model_selection import GridSearchCV, cross_validate, RandomizedSearchCV, validation_curve

# !pip install catboost
# !pip install xgboost
# !pip install lightgbm

from xgboost import XGBClassifier
from lightgbm import LGBMClassifier
from catboost import CatBoostClassifier

pd.set_option('display.max_columns', None)
pd.set_option('display.width', 500)

warnings.filterwarnings('ignore')

#Veri setinin okutulması
df = pd.read_csv("diabetes.csv")

#Bağımsız değişkenlerin belirlenmesi
y = df["Outcome"]

#Bağımlı değişkenlerin belirlenmesi
x = df.drop(["Outcome"], axis=1)