CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	TurboFold(seed)		PETfold_pre2.0(seed)
MCC	0.710	>	0.677
Average MCC ± 95% Confidence Intervals	0.710 ±	>	0.677 ±
Sensitivity	0.677	>	0.646
Positive Predictive Value	0.746	>	0.712
Total TP	44	>	42
Total TN	27202	=	27202
Total FP	16	<	24
Total FP CONTRA	4	>	2
Total FP INCONS	11	<	15
Total FP COMP	1	<	7
Total FN	21	<	23
P-value	0.0

Comparison of performance of TurboFold(seed) and PETfold_pre2.0(seed). Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for TurboFold(seed) and PETfold_pre2.0(seed)).
Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(seed) and PETfold_pre2.0(seed). The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for TurboFold(seed) and PETfold_pre2.0(seed)).

Total Scores
MCC	0.710
Average MCC ± 95% Confidence Intervals	0.710 ±
Sensitivity	0.677
Positive Predictive Value	0.746
Nr of predictions	1

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
ASE_00210	RNaseP_arch links to Rfam database...	0.71	0.68	0.75	44	27202	16	4	11	1	21

Total Scores
MCC	0.677
Average MCC ± 95% Confidence Intervals	0.677 ±
Sensitivity	0.646
Positive Predictive Value	0.712
Nr of predictions	1

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
ASE_00210	RNaseP_arch links to Rfam database...	0.68	0.65	0.71	42	27202	24	2	15	7	23

Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.