application_vnd.jupyter.stderr_output_1.png
import pandas as pd
import numpy as np
import math
from datetime import datetime
import requests
import seaborn as sns
sns.set()
import matplotlib
import matplotlib.pyplot as plt
plt.rcParams['axes.labelsize'] = 10
plt.rcParams['xtick.labelsize'] = 10
plt.rcParams['ytick.labelsize'] = 10
import re
from scipy.stats import stats
from sklearn.feature_selection import SelectKBest
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import GridSearchCV, StratifiedKFold
import xgboost
from xgboost import XGBClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.svm import LinearSVC
from sklearn.naive_bayes import GaussianNB
from sklearn.ensemble import AdaBoostClassifier
from sklearn.linear_model import LassoCV
from sklearn.linear_model import RidgeClassifierCV
from sklearn.svm import SVC
from sklearn.model_selection import RepeatedStratifiedKFold
from sklearn.impute import KNNImputer
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import LabelEncoder, OneHotEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.impute import SimpleImputer
from sklearn import preprocessing
from imblearn.over_sampling import SMOTE
from imblearn.combine import SMOTETomek
from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2
from sklearn.linear_model import LinearRegression
from sklearn.metrics import classification_report
from sklearn.metrics import accuracy_score, auc, confusion_matrix, f1_score, precision_score, recall_score, roc_curve, classification_report
from sklearn.metrics import ConfusionMatrixDisplay
import mysql.connector
from datetime import timedelta, datetime, date