text_plain_output_1.png
import optuna

import os

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
import optuna
from optuna.samplers import TPESampler
import catboost
from xgboost import XGBClassifier
from sklearn.metrics import accuracy_score, roc_auc_score
from functools import partial
optuna.logging.set_verbosity(optuna.logging.WARNING)
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))