Table 7.

Performance comparison alongside published models on the Opportunity dataset. FilterNet models perform set records in each metric. The best results are in bold.

Method/Model		${\mathit{F}}_{1\mathit{m}}$	${\mathit{F}}_{1\mathit{w}}$	${\mathit{F}}_{1\mathit{w},\mathit{n}\mathit{n}}$	n
DeepConvLSTM	[33]	0.672	0.915	0.866	?
LSTM-S	[36]	0.698	0.912		best of 128
		0.619			median of 128
b-LSTM-S	[36]	0.745	0.927		best of 128
		0.540			median of 128
LSTM Ensembles	[39]	0.726			mean of 30
Res-Bidir-LSTM	[51]		0.905		?
Asymmetric Residual Network	[52]		0.903		?
DeepConvLSTM + Attention	[53]	0.707			mean
FilterNet ms-CNN		0.718	0.919	0.891	mean of 9
FilterNet ms-C/L		0.743	0.928	0.903	mean of 9
FilterNet 4-fold ms-C/L		0.755	0.933	0.918	mean of 10