**LightGBM + Plotly **

# Python libraries
import pandas as pd
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt 
import seaborn as sns
from datetime import datetime
import lightgbm as lgbm
from sklearn.preprocessing import StandardScaler, LabelEncoder
from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, cross_val_score, train_test_split
from sklearn.metrics import precision_score, roc_auc_score, recall_score, confusion_matrix, roc_curve, precision_recall_curve, accuracy_score
from scipy.stats import randint as sp_randint
from scipy.stats import uniform as sp_uniform
import warnings
import plotly.offline as py
py.init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.tools as tls
import plotly.figure_factory as ff

warnings.filterwarnings('ignore')

from contextlib import contextmanager

@contextmanager
def timer(title):
    t0 = time.time()
    yield
    print("{} - done in {:.0f}s".format(title, time.time() - t0))