imports

import pandas as pd
import numpy as np
import sklearn
import pickle 
import time 
import datetime
import warnings
warnings.filterwarnings('ignore')

%run ../functions-auto.py

with open('../fraudTrain.pkl', 'rb') as file:
    fraudTrain = pickle.load(file)

auto_amt_nb4(fraudTrain,0.04)

	model	time	acc	pre	rec	f1	auc	graph_based	method	throw_rate	train_size	train_cols	train_frate	test_size	test_frate	hyper_params
0	KNeighborsUnif	None	0.976397	0.758361	0.603059	0.671852	0.870095	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
1	KNeighborsDist	None	0.974559	0.738075	0.565824	0.640572	0.855269	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
2	LightGBMXT	None	0.959934	0.000000	0.000000	0.000000	0.774077	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
3	LightGBM	None	0.975785	0.802030	0.525266	0.634793	0.961797	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
4	RandomForestGini	None	0.972321	0.704485	0.532580	0.606588	0.890065	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
5	RandomForestEntr	None	0.972321	0.704485	0.532580	0.606588	0.890065	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
6	CatBoost	None	0.975598	0.749153	0.587766	0.658718	0.951705	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
7	ExtraTreesGini	None	0.974133	0.731941	0.559176	0.633999	0.897733	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
8	ExtraTreesEntr	None	0.974053	0.731239	0.557181	0.632453	0.896889	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
9	NeuralNetFastAI	None	0.974080	0.854473	0.425532	0.568131	0.903616	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
10	XGBoost	None	0.976371	0.736398	0.638963	0.684229	0.946507	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
11	NeuralNetTorch	None	0.977143	0.776541	0.603059	0.678892	0.960539	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
12	LightGBMLarge	None	0.975785	0.802030	0.525266	0.634793	0.960211	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None
13	WeightedEnsemble_L2	None	0.977410	0.783737	0.602394	0.681203	0.962266	False	Auto_not_best	0.04	112612	[amt]	0.039978	37538	0.040066	None