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- #Import libraries:
- import pandas as pd
- import numpy as np
- import xgboost as xgb
- from xgboost.sklearn import XGBClassifier
- from sklearn import cross_validation, metrics #Additional scklearn functions
- from sklearn.grid_search import GridSearchCV #Perforing grid search
- import matplotlib.pylab as plt
- %matplotlib inline
- from matplotlib.pylab import rcParams
- rcParams['figure.figsize'] = 12, 4
- train = pd.read_csv('train_modified.csv')
- target = 'Disbursed'
- IDcol = 'ID'
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