Feature performance overview

Overview of Feature Values

The following measures were taken for the results of each feature:

obs (number of observations within the feature set)
NAs (number of NAs, i.e., missing values, within the feature set)
min (minimum), mean (arithmetic mean), max (maximum), std_dev (standard deviation)
1st_qu (1st quartile = lower quartile = 25%-quantile)
median (median = 50%-quantile)
3rd_qu (3rd quartile = upper quartile = 75%-quantile)
co_var (coefficient of variation = standard deviation / arithmetic mean)

Instance Feature Values

	obs	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
nvarsOrig	353	1.8e+02	4.4e+03	2.3e+04	1.3e+05	1.3e+05	1.7e+06	3.1e+05	2.4
nclausesOrig	353	1.1e+03	3e+04	1.8e+05	6.8e+05	7e+05	7.3e+06	1.3e+06	1.9
nvars	353	1.3e+02	1.9e+03	1.3e+04	6.7e+04	5.2e+04	9e+05	1.5e+05	2.2
nclauses	353	5.1e+02	1.9e+04	1.5e+05	5.5e+05	5.7e+05	7.2e+06	1.1e+06	2
reducedVars	353	0	0.12	0.46	1.8	1.5	45	4.5	2.5
reducedClauses	353	0	0.04	0.13	0.72	0.51	22	2	2.8
vars.clauses.ratio	353	0.0034	0.071	0.14	0.14	0.19	0.41	0.076	0.54
POSNEG.RATIO.CLAUSE.mean	353	0.18	0.35	0.41	0.5	0.51	1	0.23	0.46
POSNEG.RATIO.CLAUSE.coeff.variation	353	0	0.39	0.58	0.57	0.73	1.2	0.27	0.47
POSNEG.RATIO.CLAUSE.min	353	0	0	0	0.05	0	1	0.18	3.7
POSNEG.RATIO.CLAUSE.max	353	1	1	1	1	1	1	0	0
POSNEG.RATIO.CLAUSE.entropy	353	0	0.63	0.97	1	1.2	3.3	0.54	0.54
VCG.CLAUSE.mean	353	3.7e-06	6e-05	0.00025	0.0031	0.0017	0.051	0.0065	2.1
VCG.CLAUSE.coeff.variation	353	0	0.2	0.42	0.67	0.9	5.8	0.74	1.1
VCG.CLAUSE.min	353	2.2e-06	3.8e-05	0.00015	0.0019	0.001	0.016	0.0036	1.9
VCG.CLAUSE.max	353	5.5e-06	0.00025	0.0027	0.027	0.013	0.28	0.06	2.3
VCG.CLAUSE.entropy	353	0	0.69	0.91	0.85	1.1	2.3	0.4	0.47
UNARY	353	0	0	0	0	0	0	0
BINARY.	353	0	0.021	0.15	0.25	0.36	0.96	0.29	1.1
TRINARY.	353	0	0.57	0.75	0.68	0.88	1	0.28	0.42
VCG.VAR.mean	353	3.7e-06	6e-05	0.00025	0.0031	0.0017	0.051	0.0065	2.1
VCG.VAR.coeff.variation	353	0	0.38	0.96	1.8	1.7	14	2.6	1.4
VCG.VAR.min	353	3.3e-07	1.2e-05	7.1e-05	0.0014	0.00054	0.028	0.0035	2.4
VCG.VAR.max	353	2.8e-05	0.00061	0.0027	0.01	0.012	0.084	0.015	1.5
VCG.VAR.entropy	353	0	1.5	2.3	2.2	2.8	6.4	1.2	0.52
POSNEG.RATIO.VAR.mean	353	0	0.035	0.069	0.14	0.25	0.69	0.14	0.99
POSNEG.RATIO.VAR.stdev	353	0	0.043	0.11	0.14	0.2	0.41	0.11	0.76
POSNEG.RATIO.VAR.min	353	0	0	0	0.0071	0	0.33	0.046	6.4
POSNEG.RATIO.VAR.max	353	0	0.5	0.78	0.71	1	1	0.3	0.42
POSNEG.RATIO.VAR.entropy	353	0	0.67	1.3	1.5	2.4	4.2	1	0.67
HORNY.VAR.mean	353	9e-07	1.9e-05	0.00011	0.0013	0.00082	0.012	0.0026	2
HORNY.VAR.coeff.variation	353	0	0.41	1	2	1.7	19	3.1	1.6
HORNY.VAR.min	353	0	5.8e-07	1.7e-05	0.0003	0.00016	0.0038	0.00066	2.2
HORNY.VAR.max	353	1.2e-05	0.00033	0.0014	0.0048	0.0054	0.054	0.0077	1.6
HORNY.VAR.entropy	353	0	1.6	2.1	2.1	2.5	4.6	0.93	0.45
horn.clauses.fraction	353	0.0096	0.49	0.56	0.58	0.77	0.99	0.24	0.42
VG.mean	353	1.9e-06	5.1e-05	0.00029	0.0052	0.0018	0.054	0.01	2
VG.coeff.variation	353	0	0.37	1.2	1.8	2.5	14	2.2	1.2
VG.min	353	2.7e-07	8.5e-06	6.8e-05	0.0024	0.00045	0.048	0.0061	2.5
VG.max	353	1.4e-05	0.0009	0.004	0.013	0.011	0.11	0.02	1.6
CG.mean	353	-1	-1	-1	-0.53	0.0015	0.038	0.5	-0.94
CG.coeff.variation	353	0	0	0	0.33	0.73	2.2	0.47	1.4
CG.min	353	-1	-1	-1	-0.54	0.00011	0.013	0.5	-0.93
CG.max	353	0	0	0	0.025	0.016	0.23	0.052	2.1
CG.entropy	353	-5.1e+02	-5.1e+02	-5.1e+02	-2.7e+02	3.2	4.5	2.6e+02	-0.94
cluster.coeff.mean	353	-1	-1	-1	-0.46	0.16	0.32	0.59	-1.3
cluster.coeff.coeff.variation	353	0	0	0	0.22	0.48	1.2	0.3	1.4
cluster.coeff.min	353	-1	-1	-1	-0.52	0.0084	0.18	0.52	-0.99
cluster.coeff.max	353	0	0	0	0.21	0.48	0.91	0.26	1.3
cluster.coeff.entropy	353	0	0	0	1.1	2.5	3.6	1.4	1.2

Algorithm Feature Values

	obs	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
Lines..Average.	37	6	7.3	7.8	9.1	8	20	3.6	0.4
Lines..Total.	37	3.1e+03	3.7e+03	4e+03	1e+04	4.6e+03	7.1e+04	1.6e+04	1.6
Size..Average.	37	4.2e+03	9e+03	1.1e+04	1.3e+04	1.1e+04	5.7e+04	8.4e+03	0.66
Size..Total.	37	1.2e+05	2.2e+05	2.4e+05	5.8e+05	2.8e+05	4.4e+06	9.5e+05	1.6
Number.of.files	37	5	22	22	44	25	3.2e+02	60	1.4
Cyclomatic..Average.	37	0.44	1.9	2.1	2.5	2.2	6.6	1.3	0.54
Cyclomatic..Total.	37	5.4e+02	8e+02	8.9e+02	2.1e+03	9.7e+02	1.4e+04	3.3e+03	1.6
Max.Indent..Average.	37	1.2	1.3	1.4	1.5	1.4	2.1	0.2	0.14
Max.Indent..Total.	37	2.6e+02	5.8e+02	6e+02	1.2e+03	6.6e+02	9.6e+03	1.8e+03	1.5
nb_nodes	37	5e+04	1.3e+05	2.6e+05	1.1e+06	4.7e+05	8.4e+06	2.3e+06	2.1
nb_edges	37	5.1e+04	1.4e+05	2.7e+05	1.2e+06	4.9e+05	8.9e+06	2.4e+06	2.1
degree_min	37	1	1	1	1	1	1	0	0
degree_max	37	2.3e+03	3.3e+03	3.9e+03	1.2e+04	1.4e+04	5.7e+04	1.5e+04	1.3
degree_mean	37	2	2.1	2.1	2.1	2.1	2.1	0.023	0.011
degree_variance	37	61	1.1e+02	1.5e+02	3.3e+02	2.3e+02	1.7e+03	4.8e+02	1.5
degree_entropy	37	1.3	1.3	1.3	1.3	1.3	1.4	0.023	0.018
transitivity	37	2.5e-06	5.1e-05	7.9e-05	7.4e-05	9.7e-05	0.00017	4.5e-05	0.61
clustering_min	37	0	0	0	0	0	0	0
clustering_max	37	0.5	0.5	0.5	0.5	0.5	0.5	0	0
clustering_mean	37	0.00083	0.0021	0.0025	0.0024	0.0028	0.0032	0.00061	0.26
clustering_variance	37	0.00016	0.00036	0.00041	0.00039	0.00047	0.00051	0.0001	0.26
path_min	37	1	1	1	1	1	1	0	0
paths_max	37	24	24	26	40	33	2.1e+02	44	1.1
path_mean	37	5.4	5.5	6	6.1	6.2	9.6	0.92	0.15
path_variance	37	10	12	13	26	14	2.5e+02	54	2
path_entropy	37	2.1	2.1	2.3	2.3	2.4	2.8	0.2	0.087
Stmt	37	0.45	0.46	0.49	0.5	0.51	0.67	0.053	0.11
Type	37	0.012	0.034	0.036	0.037	0.041	0.064	0.011	0.31
Decl	37	0.13	0.33	0.37	0.34	0.39	0.41	0.073	0.21
Attribute	37	0.0078	0.019	0.033	0.033	0.034	0.086	0.021	0.62
Operator	37	0.04	0.049	0.05	0.057	0.055	0.099	0.017	0.31
Literal	37	0.018	0.026	0.03	0.034	0.031	0.072	0.015	0.42
edge_ss	37	3.2e+03	3.3e+03	3.4e+03	3.6e+03	3.6e+03	5.2e+03	4.6e+02	0.13
edge_st	37	0	8	15	13	17	21	6.4	0.51
edge_sd	37	1.1e+02	3.8e+02	4.1e+02	4e+02	4.6e+02	5.9e+02	1e+02	0.26
edge_sa	37	0	0	1	0.95	1	5	1.1	1.1
edge_so	37	5e+02	6.2e+02	6.6e+02	7.1e+02	7.1e+02	1.2e+03	1.6e+02	0.23
edge_sl	37	0	0	0	0.081	0	1	0.28	3.4
edge_ts	37	0	6	9	9.6	13	27	5.9	0.61
edge_tt	37	1.3e+02	3.9e+02	4.4e+02	4.7e+02	5.6e+02	9e+02	1.7e+02	0.37
edge_td	37	72	1.4e+02	1.6e+02	1.6e+02	1.8e+02	2.3e+02	36	0.23
edge_ta	37	0	0	0	0	0	0	0
edge_to	37	0	0	0	0	0	0	0
edge_tl	37	0	0	0	0	0	0	0
edge_ds	37	63	72	87	91	1e+02	1.5e+02	22	0.24
edge_dt	37	18	40	48	57	68	1.4e+02	28	0.5
edge_dd	37	1.1e+03	3e+03	3.3e+03	3.1e+03	3.6e+03	3.8e+03	7.1e+02	0.23
edge_da	37	0	0	0	0	0	0	0
edge_do	37	0	0	0	0	0	0	0
edge_dl	37	0	0	0	0	0	0	0
edge_as	37	0	0	0	0	0	0	0
edge_at	37	0	0	0	0.54	1	2	0.69	1.3
edge_ad	37	64	1.8e+02	3e+02	3.1e+02	3.3e+02	8.4e+02	1.9e+02	0.63
edge_aa	37	0	0	0	0	0	0	0
edge_ao	37	0	0	0	0	0	0	0
edge_al	37	0	0	0	0	0	0	0
edge_os	37	2.6e+02	3.4e+02	3.7e+02	4e+02	3.9e+02	7.8e+02	1.1e+02	0.27
edge_ot	37	0	0	0	0	0	0	0
edge_od	37	1	6	8	9	11	20	4.3	0.48
edge_oa	37	0	0	0	0	0	0	0
edge_oo	37	67	95	1e+02	1.2e+02	1.2e+02	3.1e+02	63	0.52
edge_ol	37	0	0	0	0	0	0	0
edge_ls	37	92	1.8e+02	2.2e+02	2.3e+02	2.4e+02	5.1e+02	86	0.37
edge_lt	37	0	0	0	0	0	0	0
edge_ld	37	0	16	22	21	26	33	7.8	0.38
edge_la	37	0	0	0	0	0	0	0
edge_lo	37	42	88	96	1.1e+02	1.1e+02	2.2e+02	46	0.41
edge_ll	37	0	0	0	0	0	0	0
op_short	37	0	0	0	0.00052	0.00066	0.0043	0.001	2
op_int	37	0.18	0.37	0.49	0.44	0.52	0.66	0.11	0.24
op_long	37	0.037	0.055	0.076	0.12	0.15	0.26	0.07	0.61
op_long_long	37	0.0038	0.013	0.019	0.022	0.023	0.064	0.014	0.66
op_float	37	0	0.0022	0.0037	0.0039	0.0052	0.0092	0.0024	0.62
op_double	37	0.0037	0.014	0.024	0.025	0.032	0.051	0.012	0.5
op_bit	37	0.035	0.067	0.083	0.091	0.093	0.22	0.048	0.52

Summary of feature steps

The following table summarizes the feature steps over all instances.

size (percentage of features affected by this step)
ok, ..., other (percentage of run status)
cost_min, cost_mean, cost_max (range of costs for this step)
cost_na (percentage of missing values occuring in costs)

	size	ok	timeout	memout	presolved	crash	other	unknown
instance	1	1e+02	0	0	0	0	0	0
software	1	1e+02	0	0		0	0	0

Duplicated Features

Underneath, you'll find blocks of duplicated instnace features, i.e., observations that have equal values over all features. Please note, that only a maximum of 5 duplicates per block are shown.

There were no duplicated features.