ref: https://pyod.readthedocs.io/en/latest/pyod.models.html#all-models

1. Imports

import pandas as pd
import numpy as np
import sklearn
import pickle 
import time 
import datetime

/tmp/ipykernel_3766802/761229760.py:1: DeprecationWarning: 
Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466
        
  import pandas as pd

import warnings
warnings.filterwarnings('ignore')

%run functions_pyod2.py

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

2.

pyod(*pyod_preprocess2(fraudTrain))

	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	COPOD	0.200191	0.736597	0.748475	0.724409	0.736245	0.736782	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
1	ECOD	0.003224	0.660340	0.668449	0.656168	0.662252	0.660403	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
2	GMM	0.023980	0.662005	0.670691	0.656168	0.663350	0.662093	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
3	HBOS	0.897164	0.492174	0.000000	0.000000	0.000000	0.499662	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
4	IForest	0.142015	0.666334	0.670143	0.674541	0.672335	0.666209	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
5	INNE	0.327061	0.583750	0.591212	0.582677	0.586913	0.583766	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
6	KDE	2.038541	0.760906	0.762712	0.767717	0.765206	0.760802	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
7	KNN	0.009548	0.721945	0.727693	0.722441	0.725058	0.721937	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
8	LODA	0.023346	0.492507	0.000000	0.000000	0.000000	0.500000	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
9	LOF	0.016555	0.505495	0.511684	0.560367	0.534920	0.504660	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
10	MAD	0.001449	0.731269	0.973580	0.483596	0.646208	0.735037	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
11	MCD	0.004074	0.769564	0.775862	0.767717	0.771768	0.769592	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
12	OCSVM	3.871274	0.703297	0.702236	0.721129	0.711557	0.703025	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
13	PCA	0.002268	0.234765	0.238866	0.232283	0.235529	0.234803	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None
14	ROD	2.136653	0.318015	0.324161	0.316929	0.320504	0.318032	False	pyod	0.5	9009	[amt]	0.497502	3003	0.507493	None