lightgbm.py

import numpy as np # linear algebra
import pandas as pd # data processing

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import matplotlib.style as style
from matplotlib import pyplot
from matplotlib.ticker import ScalarFormatter

from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
from sklearn.model_selection import GridSearchCV

import lightgbm as lgb
from lightgbm import LGBMClassifier

import random

pd.set_option("display.max_rows",None)
pd.set_option("display.max_columns",None)

train_data = pd.read_csv("train.csv.zip")
test_data = pd.read_csv("test.csv.zip")