import numpy as np
import pandas as pd
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))

train = pd.read_csv('/kaggle/input/ml4e-assignment/train.csv')
test = pd.read_csv('/kaggle/input/ml4e-assignment/test.csv')

from matplotlib import pyplot as plt
import seaborn as sns
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.model_selection import train_test_split
from sklearn import metrics