text_plain_output_1.png
import os

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import missingno as msno
from sklearn.preprocessing import label_binarize
from sklearn.preprocessing import LabelBinarizer
from sklearn.model_selection import KFold, cross_val_score
from sklearn.ensemble import RandomForestClassifier, VotingClassifier
from sklearn.metrics import accuracy_score
from sklearn import svm
from sklearn.naive_bayes import GaussianNB
from catboost import CatBoostClassifier
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))