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_3766458/761229760.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, 10))

	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	ABOD	1.333059	0.993897	0.000000	0.00000	0.000000	0.500000	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
1	COPOD	0.064687	0.547473	0.009801	0.73125	0.019344	0.638797	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
2	ECOD	0.003290	0.561968	0.011982	0.86875	0.023637	0.714417	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
3	GMM	0.026987	0.663971	0.011632	0.64375	0.022851	0.653923	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
4	HBOS	0.768681	0.979630	0.141762	0.46250	0.217009	0.722653	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
5	IForest	0.143493	0.722258	0.014323	0.65625	0.028034	0.689457	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
6	INNE	0.317980	0.538699	0.007511	0.56875	0.014827	0.553632	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
7	KDE	2.016948	0.776273	0.019538	0.72500	0.038052	0.750794	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
8	KNN	0.009457	0.753729	0.015990	0.65000	0.031212	0.702183	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
9	LODA	0.025826	0.991265	0.317460	0.37500	0.343840	0.685024	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
10	LOF	0.022515	0.430822	0.005096	0.47500	0.010084	0.452775	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
11	MAD	0.001539	0.987450	0.215488	0.40000	0.280088	0.695529	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
12	MCD	0.007115	0.781041	0.019959	0.72500	0.038848	0.753193	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
13	OCSVM	3.877473	0.713828	0.014546	0.68750	0.028490	0.700745	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
14	PCA	0.002321	0.230898	0.002240	0.28125	0.004444	0.255920	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None
15	ROD	2.235700	0.497120	0.003204	0.26250	0.006331	0.380530	False	pyod	0.131955	9009	[amt]	0.498168	26215	0.006103	None