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import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV, cross_validate
from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor, VotingClassifier
from sklearn.preprocessing import MinMaxScaler, LabelEncoder, StandardScaler, RobustScaler
from sklearn.impute import KNNImputer
from sklearn.linear_model import LogisticRegression, LinearRegression, Ridge, Lasso, ElasticNet
import numpy as np
from sklearn.metrics import mean_squared_error, mean_absolute_error
import warnings
from sklearn.exceptions import ConvergenceWarning
from sklearn.neighbors import KNeighborsRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn.svm import SVR
from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor, VotingRegressor
from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score, roc_auc_score
from sklearn.metrics import r2_score, mean_squared_error
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from xgboost import XGBClassifier
from lightgbm import LGBMClassifier
from catboost import CatBoostClassifier
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, VotingClassifier, AdaBoostClassifier
from sklearn.model_selection import cross_validate, GridSearchCV
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.neighbors import LocalOutlierFactor
from sklearn.metrics import classification_report