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import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

import numpy as np
import pandas as pd
pd.set_option('max_columns', None)
pd.set_option('max_rows', 90)
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('darkgrid')
from sklearn.neighbors import KNeighborsRegressor
import scipy.stats
from sklearn.preprocessing import StandardScaler
from pycaret.regression import setup, compare_models
from sklearn.model_selection import KFold, cross_val_score
from catboost import CatBoostRegressor
from sklearn.linear_model import BayesianRidge, HuberRegressor, Ridge, OrthogonalMatchingPursuit
from lightgbm import LGBMRegressor
from sklearn.ensemble import GradientBoostingRegressor
from xgboost import XGBRegressor
import optuna