text_plain_output_1.png
from subprocess import check_output

import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import classification_report
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))
from sklearn.model_selection import cross_val_score
import seaborn as sns