text_plain_output_1.png
import os

import numpy as np
import pandas as pd
import seaborn as sns
import xgboost as xgb
import matplotlib.pyplot as plt
import lightgbm as lgb
import optuna
from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier, BaggingClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC
from sklearn.model_selection import StratifiedKFold, GridSearchCV
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder, StandardScaler, MinMaxScaler, RobustScaler, LabelEncoder
from sklearn.datasets import make_classification
from sklearn.decomposition import PCA
from sklearn.metrics import mean_absolute_error, r2_score, roc_curve, confusion_matrix, classification_report, accuracy_score, auc, log_loss
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))