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import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
import math, random
from sklearn.model_selection import KFold, train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import LabelEncoder
pd.set_option('display.max_columns', 100)
from lightgbm import LGBMRegressor
SEED = 47