Financial Innovation

Table 3 Classification results using random and naive methods

From: An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination

Stocks	Random		Naive
Stocks	Acc	F-Mea	Acc	F-Mea
ALBRK	0.501	0.493	0.511	0.501
AKBNK	0.493	0.481	0.509	0.493
HALKB	0.510	0.505	0.523	0.511
ISCTR	0.487	0.478	0.502	0.487
SKBNK	0.501	0.487	0.486	0.464
TSKB	0.503	0.492	0.534	0.513
VAKBN	0.499	0.468	0.513	0.483
YKBNK	0.493	0.476	0.503	0.491
Average	0.498	0.485	0.510	0.492

Bold numbers indicate the best performance

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