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	nas	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
nvarsOrig	600	0	50	1.2e+02	4e+02	4.2e+03	7.6e+02	5e+04	1e+04	2.5
nclausesOrig	600	0	1.1e+03	2.3e+03	4.1e+03	2.2e+04	2e+04	2.1e+05	4.3e+04	1.9
nvars	600	0	50	1.2e+02	4e+02	4.1e+03	7.6e+02	4.9e+04	1e+04	2.5
nclauses	600	0	1e+03	2.3e+03	4.1e+03	2.2e+04	2e+04	2.1e+05	4.3e+04	1.9
reducedVars	600	0	0	0	0.0043	0.012	0.025	0.055	0.013	1.1
reducedClauses	600	0	0	0	0.0008	0.0031	0.0062	0.015	0.0034	1.1
vars_clauses_ratio	600	0	0.011	0.038	0.14	0.13	0.23	0.23	0.1	0.78
POSNEG_RATIO_CLAUSE_mean	600	0	0.31	0.35	0.43	0.42	0.5	0.51	0.079	0.19
POSNEG_RATIO_CLAUSE_coeff_variation	600	0	0.58	0.59	0.62	0.63	0.67	0.7	0.041	0.065
POSNEG_RATIO_CLAUSE_min	600	0	0	0	0.071	0.086	0.16	0.2	0.088	1
POSNEG_RATIO_CLAUSE_max	600	0	1	1	1	1	1	1	0	0
POSNEG_RATIO_CLAUSE_entropy	600	0	0.61	0.71	0.8	0.81	0.89	1	0.13	0.15
VCG_CLAUSE_mean	600	0	0.0001	0.0043	0.0078	0.031	0.048	0.14	0.039	1.3
VCG_CLAUSE_coeff_variation	600	0	0	0	0.017	0.031	0.063	0.092	0.031	1
VCG_CLAUSE_min	600	0	0.0001	0.0043	0.0077	0.031	0.048	0.14	0.039	1.3
VCG_CLAUSE_max	600	0	0.0001	0.0058	0.011	0.032	0.048	0.14	0.039	1.2
VCG_CLAUSE_entropy	600	0	0	0	0.028	0.074	0.15	0.28	0.078	1.1
UNARY	600	0	0	0	0	0	0	0	0
BINARYp	600	0	0	0	0	0	0	0	0
TRINARYp	600	0	0	0	0.46	0.48	0.97	0.99	0.48	1
VCG_VAR_mean	600	0	0.0001	0.0043	0.0078	0.031	0.048	0.14	0.039	1.3
VCG_VAR_coeff_variation	600	0	0.03	0.068	0.19	0.18	0.29	0.33	0.11	0.63
VCG_VAR_min	600	0	0	0.0016	0.0034	0.026	0.038	0.13	0.036	1.4
VCG_VAR_max	600	0	0.0002	0.0086	0.016	0.038	0.054	0.16	0.042	1.1
VCG_VAR_entropy	600	0	2.6	2.7	2.9	3.2	3.7	4.5	0.56	0.18
POSNEG_RATIO_VAR_mean	600	0	0.022	0.054	0.15	0.14	0.23	0.25	0.087	0.62
POSNEG_RATIO_VAR_stdev	600	0	0.017	0.037	0.11	0.11	0.17	0.19	0.065	0.62
POSNEG_RATIO_VAR_min	600	0	0	0	0	0.00015	0	0.0099	0.00079	5.3
POSNEG_RATIO_VAR_max	600	0	0.074	0.18	0.55	0.58	1	1	0.39	0.67
POSNEG_RATIO_VAR_entropy	600	0	1.7	2.4	3.1	2.9	3.3	3.4	0.52	0.18
HORNY_VAR_mean	600	0	0	0.0012	0.003	0.004	0.006	0.02	0.0037	0.92
HORNY_VAR_coeff_variation	600	0	0.12	0.18	0.31	0.29	0.4	0.47	0.11	0.37
HORNY_VAR_min	600	0	0	0	0.0005	0.0017	0.0032	0.013	0.0023	1.3
HORNY_VAR_max	600	0	0.0001	0.002	0.0069	0.0071	0.01	0.031	0.0056	0.79
HORNY_VAR_entropy	600	0	2.2	2.3	2.4	2.6	2.9	3.3	0.31	0.12
horn_clauses_fraction	600	0	0.056	0.14	0.34	0.31	0.49	0.52	0.19	0.61
VG_mean	600	0	0.0001	0.0092	0.011	0.016	0.017	0.046	0.014	0.88
VG_coeff_variation	600	0	0	0.0005	0.17	0.15	0.29	0.33	0.14	0.89
VG_min	600	0	0	0.003	0.008	0.012	0.012	0.046	0.014	1.2
VG_max	600	0	0.0004	0.011	0.019	0.021	0.032	0.057	0.015	0.71
CG_mean	600	190	0.0001	0.0058	0.0093	0.035	0.019	0.23	0.054	1.6
CG_coeff_variation	600	190	0.05	0.064	0.24	0.19	0.24	0.28	0.081	0.42
CG_min	600	190	0	0.0017	0.0033	0.026	0.013	0.2	0.045	1.7
CG_max	600	190	0.0003	0.012	0.019	0.046	0.04	0.28	0.063	1.4
CG_entropy	600	190	2.9	2.9	3	3.3	4	4.2	0.51	0.16
cluster_coeff_mean	600	190	0.023	0.1	0.11	0.11	0.11	0.22	0.026	0.24
cluster_coeff_coeff_variation	600	190	0.034	0.12	0.24	0.19	0.24	0.27	0.081	0.42
cluster_coeff_min	600	190	0.016	0.042	0.051	0.059	0.058	0.2	0.032	0.54
cluster_coeff_max	600	190	0.035	0.22	0.26	0.26	0.33	0.67	0.096	0.38
cluster_coeff_entropy	600	190	0.46	1.2	2.3	1.9	2.3	2.4	0.59	0.3
DIAMETER_mean	600	0	2	2	3.5	3.4	4	6	1.2	0.35
DIAMETER_coeff_variation	600	0	0	0	0	0.028	0.041	0.2	0.048	1.7
DIAMETER_min	600	0	2	2	3	3.3	4	6	1.1	0.35
DIAMETER_max	600	0	2	3	3.5	3.7	5	6	1.4	0.37
DIAMETER_entropy	600	0	0	0	0	0.11	0.12	0.69	0.2	1.8
cl_num_mean	600	0	2.6	1.1e+02	3.9e+03	2.8e+03	4.3e+03	4.6e+03	1.9e+03	0.66
cl_num_coeff_variation	600	0	0	0.017	0.024	0.14	0.26	0.75	0.19	1.4
cl_num_min	600	0	0	67	3.8e+03	2.7e+03	4.2e+03	4.6e+03	1.9e+03	0.68
cl_num_max	600	0	7	2.4e+02	4e+03	3e+03	4.4e+03	4.7e+03	1.9e+03	0.63
cl_num_q90	600	0	5	1.3e+02	4e+03	3e+03	4.4e+03	4.7e+03	1.9e+03	0.65
cl_num_q10	600	0	1	78	3.8e+03	2.7e+03	4.2e+03	4.6e+03	1.9e+03	0.68
cl_num_q75	600	0	4	1.1e+02	4e+03	2.9e+03	4.4e+03	4.6e+03	1.9e+03	0.65
cl_num_q25	600	0	1	86	3.8e+03	2.8e+03	4.2e+03	4.6e+03	1.9e+03	0.67
cl_num_q50	600	0	2	96	3.9e+03	2.8e+03	4.3e+03	4.6e+03	1.9e+03	0.67
cl_size_mean	600	0	14	25	32	40	52	1.1e+02	21	0.54
cl_size_coeff_variation	600	0	0	0.024	0.055	0.088	0.094	0.5	0.1	1.2
cl_size_min	600	0	0	23	29	30	34	58	10	0.34
cl_size_max	600	0	14	26	35	57	59	3.8e+02	58	1
cl_size_q90	600	0	14	26	35	47	56	1.9e+02	33	0.71
cl_size_q10	600	0	13	23	30	34	46	63	13	0.39
cl_size_q75	600	0	14	26	33	43	54	1.3e+02	26	0.6
cl_size_q25	600	0	13	24	31	36	48	79	16	0.44
cl_size_q50	600	0	14	25	31	39	52	1.1e+02	20	0.52
SP_bias_mean	600	0	0.045	0.11	0.28	0.25	0.39	0.43	0.14	0.57
SP_bias_coeff_variation	600	0	0.52	0.58	0.61	0.64	0.7	0.88	0.076	0.12
SP_bias_min	600	0	0	0.0001	0.0005	0.0014	0.0018	0.037	0.0026	1.8
SP_bias_max	600	0	0.15	0.35	0.8	0.68	1	1	0.33	0.49
SP_bias_q90	600	0	0.093	0.22	0.53	0.47	0.71	0.77	0.25	0.53
SP_bias_q10	600	0	0.0037	0.018	0.06	0.054	0.086	0.12	0.035	0.64
SP_bias_q75	600	0	0.062	0.17	0.41	0.37	0.57	0.6	0.21	0.56
SP_bias_q25	600	0	0.016	0.04	0.14	0.13	0.2	0.25	0.079	0.63
SP_bias_q50	600	0	0.041	0.092	0.27	0.24	0.39	0.43	0.15	0.6
SP_unconstraint_mean	600	0	0.0001	0.0012	0.041	0.045	0.09	0.1	0.044	0.98
SP_unconstraint_coeff_variation	600	0	0.28	0.52	0.65	0.59	0.67	0.97	0.13	0.22
SP_unconstraint_min	600	0	0	7.5e-05	0.0005	0.0019	0.0034	0.012	0.0023	1.2
SP_unconstraint_max	600	0	0.0001	0.003	0.14	0.26	0.44	0.96	0.3	1.1
SP_unconstraint_q90	600	0	0.0001	0.0021	0.073	0.086	0.17	0.2	0.084	0.98
SP_unconstraint_q10	600	0	0	0.0004	0.011	0.014	0.027	0.032	0.013	0.98
SP_unconstraint_q75	600	0	0.0001	0.0015	0.054	0.061	0.12	0.14	0.06	0.98
SP_unconstraint_q25	600	0	0	0.00063	0.02	0.023	0.046	0.052	0.022	0.98
SP_unconstraint_q50	600	0	0.0001	0.001	0.032	0.039	0.077	0.087	0.038	0.98
saps_BestSolution_Mean	600	0	5.4	11	18	2.6e+02	36	1e+04	9.2e+02	3.5
saps_BestSolution_CoeffVariance	600	0	0	0.24	0.27	0.33	0.31	2.1	0.28	0.85
saps_FirstLocalMinStep_Mean	600	0	8.8	23	87	8e+02	1.7e+02	1.1e+04	2e+03	2.5
saps_FirstLocalMinStep_CoeffVariance	600	0	0	0.068	0.099	0.15	0.19	1.4	0.2	1.3
saps_FirstLocalMinStep_Median	600	0	9	23	86	8.2e+02	1.7e+02	1.1e+04	2.1e+03	2.5
saps_FirstLocalMinStep_Q10	600	0	0	12	67	6.4e+02	1.4e+02	1.1e+04	1.9e+03	3.1
saps_FirstLocalMinStep_Q90	600	0	0	24	86	7.6e+02	1.6e+02	1.1e+04	2e+03	2.7
saps_BestAvgImprovement_Mean	600	0	0.45	0.91	1	1.3	1.6	3.1	0.48	0.37
saps_BestAvgImprovement_CoeffVariance	600	0	0	0.21	0.24	0.29	0.3	1.4	0.19	0.66
saps_FirstLocalMinRatio_Mean	600	0	0.74	0.86	0.86	0.91	0.88	13	0.55	0.6
saps_FirstLocalMinRatio_CoeffVariance	600	0	0	0.036	0.06	0.098	0.092	2.7	0.19	2
gsat_BestSolution_Mean	600	0	4.6	9.7	14	1.4e+02	34	4e+03	4.3e+02	3.1
gsat_BestSolution_CoeffVariance	600	0	0.018	0.22	0.26	0.29	0.3	1.8	0.19	0.67
gsat_FirstLocalMinStep_Mean	600	0	8.8	24	87	8.7e+02	1.7e+02	1.1e+04	2.2e+03	2.5
gsat_FirstLocalMinStep_CoeffVariance	600	0	0.0012	0.063	0.086	0.12	0.17	0.67	0.088	0.77
gsat_FirstLocalMinStep_Median	600	0	9	24	87	8.9e+02	1.7e+02	1.1e+04	2.2e+03	2.5
gsat_FirstLocalMinStep_Q10	600	0	0	16	76	7.8e+02	1.5e+02	1.1e+04	2.1e+03	2.7
gsat_FirstLocalMinStep_Q90	600	0	11	28	96	9e+02	1.8e+02	1.1e+04	2.2e+03	2.5
gsat_BestAvgImprovement_Mean	600	0	0.062	0.3	0.42	0.78	1.3	2	0.61	0.78
gsat_BestAvgImprovement_CoeffVariance	600	0	0.023	0.38	0.42	0.48	0.43	2.9	0.32	0.67
gsat_FirstLocalMinRatio_Mean	600	0	0.82	0.84	0.85	0.86	0.87	5.8	0.21	0.24
gsat_FirstLocalMinRatio_CoeffVariance	600	0	0.003	0.031	0.048	0.065	0.086	1.9	0.1	1.6
lobjois_mean_depth_over_vars	600	0	0.19	0.31	0.41	0.44	0.61	0.71	0.17	0.37
lobjois_log_num_nodes_over_vars	600	0	0.23	0.52	0.6	0.59	0.72	0.78	0.16	0.27

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	crash	cost_min	cost_mean	cost_max
Basic	2	1e+02	0	0	0.0046	0.08
CG	2	68	32	0.01	22	60
DIAMETER	2	1e+02	0	0	0.54	2.1
KLB	2	1e+02	0	0	0.34	6.8
Pre	1	1e+02	0	0	0.079	0.98
cl	2	1e+02	0	0.26	2	2
lobjois	2	1e+02	0	2	2	2.2
ls_gsat	2	1e+02	0	1.6	2.3	2.6
ls_saps	2	1e+02	0	1	2.1	2.3
sp	2	1e+02	0	0	0.43	2.9

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.