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	296	0	20	2.2e+02	7.6e+02	2.6e+03	1.9e+03	6.4e+04	8.3e+03	3.2
nclausesOrig	296	0	1e+02	2.9e+03	2.9e+04	1e+05	8.6e+04	1.7e+06	2e+05	2
nvars	296	0	20	2.2e+02	6.1e+02	1.8e+03	1.5e+03	3.4e+04	4.7e+03	2.7
nclauses	296	0	1e+02	2.6e+03	2.7e+04	9.6e+04	8.3e+04	1.7e+06	1.9e+05	2
reducedVars	296	0	0	0	0.032	0.36	0.14	54	3.1	8.8
reducedClauses	296	0	0	0	0.0091	0.28	0.024	55	3.2	12
vars_clauses_ratio	296	0	0.0006	0.0096	0.023	0.097	0.15	0.51	0.13	1.3
POSNEG_RATIO_CLAUSE_mean	296	0	0.24	0.48	0.99	0.75	1	1	0.29	0.38
POSNEG_RATIO_CLAUSE_coeff_variation	296	0	0	0	0.024	0.35	0.8	1.1	0.41	1.2
POSNEG_RATIO_CLAUSE_min	296	0	0	0	0.8	0.53	1	1	0.45	0.85
POSNEG_RATIO_CLAUSE_max	296	0	1	1	1	1	1	1	0	0
POSNEG_RATIO_CLAUSE_entropy	296	0	0	0	0.24	0.59	1.1	2.9	0.67	1.1
VCG_CLAUSE_mean	296	0	0.0001	0.0025	0.0058	0.017	0.018	0.35	0.033	2
VCG_CLAUSE_coeff_variation	296	0	0	0.36	0.81	0.97	1.6	2.8	0.75	0.77
VCG_CLAUSE_min	296	0	0.0001	0.0013	0.0033	0.011	0.011	0.35	0.028	2.7
VCG_CLAUSE_max	296	0	0.0001	0.018	0.039	0.049	0.071	0.35	0.044	0.88
VCG_CLAUSE_entropy	296	0	0	0.19	0.31	0.46	0.6	2.6	0.45	0.98
UNARY	296	0	0	0	0	0	0	0	0
BINARYp	296	0	0	0.0037	0.24	0.46	0.94	0.99	0.45	0.98
TRINARYp	296	0	0	0.098	0.89	0.64	0.95	1	0.4	0.63
VCG_VAR_mean	296	0	0.0001	0.0025	0.0058	0.017	0.018	0.35	0.033	2
VCG_VAR_coeff_variation	296	0	0	0.0066	0.18	0.38	0.26	4.6	0.72	1.9
VCG_VAR_min	296	0	0	0.0009	0.0033	0.013	0.012	0.33	0.03	2.4
VCG_VAR_max	296	0	0.0003	0.0043	0.011	0.03	0.028	0.71	0.063	2.1
VCG_VAR_entropy	296	0	0	0.039	3	2.8	4.9	6.6	2.2	0.8
POSNEG_RATIO_VAR_mean	296	0	0	0.032	0.18	0.2	0.32	0.94	0.19	0.94
POSNEG_RATIO_VAR_stdev	296	0	0	0	0.049	0.075	0.095	0.42	0.083	1.1
POSNEG_RATIO_VAR_min	296	0	0	0	0.047	0.075	0.12	0.5	0.094	1.3
POSNEG_RATIO_VAR_max	296	0	0	0.085	0.34	0.43	0.74	1	0.34	0.78
POSNEG_RATIO_VAR_entropy	296	0	0	0	2.6	1.8	2.9	4.2	1.4	0.79
HORNY_VAR_mean	296	0	0	0.0011	0.0026	0.0053	0.0073	0.13	0.0095	1.8
HORNY_VAR_coeff_variation	296	0	0	0.16	0.28	0.49	0.39	6	0.82	1.7
HORNY_VAR_min	296	0	0	0.0002	0.0008	0.0031	0.002	0.13	0.0093	3
HORNY_VAR_max	296	0	0.0002	0.0023	0.0054	0.012	0.011	0.21	0.028	2.3
HORNY_VAR_entropy	296	0	0	1.4	2.8	2.8	4.6	6.3	1.9	0.68
horn_clauses_fraction	296	0	0.0094	0.32	0.73	0.62	0.93	0.99	0.32	0.52
VG_mean	296	0	0.0001	0.0031	0.0074	0.022	0.017	0.34	0.044	2
VG_coeff_variation	296	0	0	0	0.072	0.24	0.21	2.1	0.43	1.8
VG_min	296	0	0	0.0012	0.005	0.021	0.016	0.33	0.043	2.1
VG_max	296	0	0.0002	0.005	0.01	0.027	0.023	0.37	0.047	1.7
CG_mean	296	181	0	0.01	0.021	0.038	0.043	0.32	0.048	1.3
CG_coeff_variation	296	181	0.0057	0.19	0.65	0.8	1.1	4.7	0.79	0.99
CG_min	296	181	0	0.0023	0.013	0.02	0.024	0.2	0.029	1.5
CG_max	296	181	0.0014	0.035	0.069	0.096	0.13	0.37	0.083	0.86
CG_entropy	296	181	0.044	0.42	0.82	1.6	2.9	5.9	1.5	0.95
cluster_coeff_mean	296	181	0.0097	0.077	0.18	0.21	0.35	0.59	0.16	0.73
cluster_coeff_coeff_variation	296	181	0.008	0.16	0.29	0.32	0.34	1.6	0.27	0.85
cluster_coeff_min	296	181	0.0004	0.0098	0.043	0.097	0.15	0.4	0.12	1.2
cluster_coeff_max	296	181	0.041	0.095	0.33	0.36	0.54	0.98	0.28	0.77
cluster_coeff_entropy	296	181	0.098	0.39	0.77	1.2	2	3.9	1.1	0.87
DIAMETER_mean	296	0	2	2	3	9.7	4.5	7.5e+02	62	6.4
DIAMETER_coeff_variation	296	0	0	0	0.0056	0.045	0.083	0.19	0.056	1.3
DIAMETER_min	296	0	2	2	3	8.9	4	7.4e+02	61	6.8
DIAMETER_max	296	0	2	2	3	11	5	7.6e+02	64	6.1
DIAMETER_entropy	296	0	0	0	0.017	0.29	0.44	4.5	0.58	2
cl_num_mean	296	0	0	3.7e+02	1.6e+03	2.1e+03	4e+03	4.9e+03	1.8e+03	0.85
cl_num_coeff_variation	296	0	0	0.015	0.24	0.39	0.65	2.4	0.45	1.1
cl_num_min	296	0	0	73	4.8e+02	1.7e+03	3.8e+03	4.9e+03	1.9e+03	1.1
cl_num_max	296	0	0	9e+02	3.5e+03	2.8e+03	4.5e+03	4.9e+03	1.8e+03	0.63
cl_num_q90	296	0	0	6e+02	3.3e+03	2.7e+03	4.5e+03	4.9e+03	1.8e+03	0.67
cl_num_q10	296	0	0	1.1e+02	5.2e+02	1.7e+03	3.8e+03	4.9e+03	1.9e+03	1.1
cl_num_q75	296	0	0	4e+02	2.3e+03	2.3e+03	4.2e+03	4.9e+03	1.8e+03	0.79
cl_num_q25	296	0	0	1.9e+02	8.4e+02	1.9e+03	4e+03	4.9e+03	1.9e+03	1
cl_num_q50	296	0	0	3e+02	1.6e+03	2.1e+03	4.1e+03	4.9e+03	1.9e+03	0.89
cl_size_mean	296	0	0	25	37	47	66	2.3e+02	35	0.74
cl_size_coeff_variation	296	0	0	0.046	0.097	0.13	0.16	0.91	0.14	1.1
cl_size_min	296	0	0	19	34	40	54	2.3e+02	31	0.78
cl_size_max	296	0	0	29	46	60	84	3.9e+02	45	0.76
cl_size_q90	296	0	0	28	43	56	79	3.9e+02	43	0.77
cl_size_q10	296	0	0	20	34	40	55	2.3e+02	31	0.77
cl_size_q75	296	0	0	26	40	52	72	3.9e+02	41	0.79
cl_size_q25	296	0	0	22	35	43	58	2.3e+02	32	0.74
cl_size_q50	296	0	0	24	38	48	63	3.9e+02	39	0.82
SP_bias_mean	296	0	0	0.35	0.71	0.59	0.84	0.98	0.31	0.54
SP_bias_coeff_variation	296	0	0	0.012	0.083	0.38	0.33	8.4	0.78	2.1
SP_bias_min	296	0	0	0.00047	0.5	0.4	0.74	0.94	0.34	0.87
SP_bias_max	296	0	0	0.58	0.89	0.75	0.98	1	0.3	0.39
SP_bias_q90	296	0	0	0.46	0.79	0.66	0.91	1	0.31	0.47
SP_bias_q10	296	0	0	0.1	0.62	0.51	0.79	0.97	0.33	0.65
SP_bias_q75	296	0	0	0.42	0.74	0.63	0.89	1	0.33	0.52
SP_bias_q25	296	0	0	0.2	0.66	0.55	0.82	0.99	0.33	0.61
SP_bias_q50	296	0	0	0.35	0.7	0.59	0.86	1	0.33	0.57
SP_unconstraint_mean	296	0	0	0	0.015	0.11	0.23	0.5	0.15	1.4
SP_unconstraint_coeff_variation	296	0	0	0.016	0.92	2.4	3.7	16	3.4	1.4
SP_unconstraint_min	296	0	0	0	0	0.07	0.06	0.5	0.13	1.9
SP_unconstraint_max	296	0	0	0.0001	0.034	0.19	0.33	1	0.26	1.3
SP_unconstraint_q90	296	0	0	0	0.029	0.13	0.24	0.99	0.18	1.3
SP_unconstraint_q10	296	0	0	0	0.0004	0.084	0.15	0.5	0.14	1.6
SP_unconstraint_q75	296	0	0	0	0.019	0.12	0.23	0.94	0.17	1.4
SP_unconstraint_q25	296	0	0	0	0.0031	0.1	0.22	0.5	0.15	1.5
SP_unconstraint_q50	296	0	0	0	0.0064	0.11	0.23	0.5	0.16	1.4
saps_BestSolution_Mean	296	0	0	7	16	5.2e+02	47	4.7e+04	3.3e+03	6.2
saps_BestSolution_CoeffVariance	296	0	0	0.21	0.43	3.8	3.6	55	8.4	2.2
saps_FirstLocalMinStep_Mean	296	0	0	65	1.6e+02	4.7e+02	5e+02	6.6e+03	9.3e+02	2
saps_FirstLocalMinStep_CoeffVariance	296	0	0	0.068	0.097	0.12	0.15	0.87	0.092	0.77
saps_FirstLocalMinStep_Median	296	0	0	65	1.6e+02	4.9e+02	5e+02	6.8e+03	9.7e+02	2
saps_FirstLocalMinStep_Q10	296	0	0	49	1.4e+02	4.2e+02	4e+02	6.6e+03	8.9e+02	2.1
saps_FirstLocalMinStep_Q90	296	0	0	73	1.7e+02	5e+02	5.2e+02	6.8e+03	9.8e+02	1.9
saps_BestAvgImprovement_Mean	296	0	0.2	1.6	7.2	19	28	1.7e+02	25	1.3
saps_BestAvgImprovement_CoeffVariance	296	0	0	0.13	0.2	0.22	0.26	1.3	0.16	0.7
saps_FirstLocalMinRatio_Mean	296	0	0.68	0.93	0.99	0.96	1	1.3	0.078	0.081
saps_FirstLocalMinRatio_CoeffVariance	296	0	0	0.0032	0.027	0.065	0.065	1.1	0.14	2.1
gsat_BestSolution_Mean	296	0	0	5.2	20	2.7e+02	52	2.1e+04	1.4e+03	5.2
gsat_BestSolution_CoeffVariance	296	0	0	0.14	0.24	2.8	1.1	59	8.2	3
gsat_FirstLocalMinStep_Mean	296	0	2.7	65	1.6e+02	4.9e+02	5e+02	6.8e+03	9.6e+02	2
gsat_FirstLocalMinStep_CoeffVariance	296	0	0.0014	0.05	0.089	0.11	0.13	1.4	0.13	1.2
gsat_FirstLocalMinStep_Median	296	0	3	65	1.6e+02	5e+02	5.1e+02	6.9e+03	9.9e+02	2
gsat_FirstLocalMinStep_Q10	296	0	0	50	1.4e+02	4.1e+02	4.1e+02	6.5e+03	8.1e+02	2
gsat_FirstLocalMinStep_Q90	296	0	0	72	1.7e+02	4.8e+02	4.8e+02	6.9e+03	9.2e+02	1.9
gsat_BestAvgImprovement_Mean	296	0	0.044	0.98	6.5	20	32	1.6e+02	27	1.4
gsat_BestAvgImprovement_CoeffVariance	296	0	0.02	0.16	0.26	0.34	0.38	5.9	0.42	1.3
gsat_FirstLocalMinRatio_Mean	296	0	0.69	0.91	0.99	0.98	1	8.5	0.44	0.45
gsat_FirstLocalMinRatio_CoeffVariance	296	0	0	0.0016	0.013	0.06	0.054	3.5	0.24	3.9
lobjois_mean_depth_over_vars	296	0	0.027	0.49	0.76	0.66	0.87	1	0.27	0.41
lobjois_log_num_nodes_over_vars	296	0	0.087	0.71	0.89	0.8	0.95	1	0.2	0.25

Algorithm Feature Values

	obs	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
Lines..Average.	11	3.4	7.2	8.8	13	21	24	7.9	0.61
Lines..Total.	11	8.4e+02	3.8e+03	7.3e+03	1.4e+04	1.3e+04	6.8e+04	1.9e+04	1.4
Size..Average.	11	5.8e+03	8.5e+03	1.1e+04	1.5e+04	1.8e+04	3.4e+04	9.6e+03	0.65
Size..Total.	11	6.3e+04	1.9e+05	3.1e+05	7.8e+05	7e+05	4.4e+06	1.2e+06	1.6
Number.of.files	11	7	11	22	51	65	2e+02	58	1.1
Cyclomatic..Average.	11	0.6	1.6	2	2.7	3.5	7.4	2	0.75
Cyclomatic..Total.	11	1.3e+02	7.3e+02	1.2e+03	2e+03	3.1e+03	4.7e+03	1.6e+03	0.82
Max.Indent..Average.	11	1.1	1.4	1.6	1.6	1.7	2.3	0.35	0.22
Max.Indent..Total.	11	2e+02	4.8e+02	1.1e+03	1.4e+03	1.8e+03	4.1e+03	1.3e+03	0.93
nb_nodes	11	3.5e+04	9e+04	3.1e+05	1.7e+06	3.2e+06	6.4e+06	2.2e+06	1.3
nb_edges	11	3.6e+04	9.3e+04	3.2e+05	1.8e+06	3.3e+06	6.6e+06	2.3e+06	1.3
degree_min	11	1	1	1	1	1	1	0	0
degree_max	11	1.2e+03	3.3e+03	4.3e+03	1.1e+05	1.4e+04	1.1e+06	3.3e+05	3.1
degree_mean	11	2	2.1	2.1	2.1	2.1	2.1	0.024	0.012
degree_variance	11	57	69	1.3e+02	1.7e+04	2.1e+02	1.9e+05	5.7e+04	3.3
degree_entropy	11	1.2	1.3	1.3	1.3	1.4	1.4	0.048	0.036
transitivity	11	3.6e-08	2.9e-05	0.0001	9.5e-05	0.00015	0.00022	7.3e-05	0.76
clustering_min	11	0	0	0	0	0	0	0
clustering_max	11	0.5	0.5	0.5	0.5	0.5	0.5	0	0
clustering_mean	11	0.0013	0.0021	0.0027	0.0025	0.0029	0.0032	0.00062	0.25
clustering_variance	11	0.00025	0.00035	0.00043	0.00041	0.0005	0.00052	0.0001	0.25
path_min	11	1	1	1	1	1	1	0	0
paths_max	11	22	28	33	39	38	72	17	0.45
path_mean	11	5	5.5	6.4	6.2	6.6	8.4	0.96	0.15
path_variance	11	8.5	11	11	15	13	38	8.5	0.58
path_entropy	11	1.9	2.1	2.4	2.3	2.4	2.8	0.28	0.12
Stmt	11	0.42	0.46	0.51	0.5	0.53	0.61	0.057	0.11
Type	11	0.017	0.039	0.044	0.044	0.051	0.064	0.012	0.28
Decl	11	0.12	0.29	0.34	0.32	0.36	0.43	0.084	0.26
Attribute	11	0.0069	0.01	0.019	0.027	0.033	0.099	0.026	0.99
Operator	11	0.03	0.044	0.052	0.06	0.063	0.13	0.028	0.46
Literal	11	0.02	0.023	0.031	0.048	0.044	0.19	0.05	1
edge_ss	11	2.7e+03	3.2e+03	3.7e+03	3.5e+03	3.7e+03	4.1e+03	4.2e+02	0.12
edge_st	11	0	4.5	10	9.4	14	19	6.8	0.72
edge_sd	11	93	3.4e+02	4.2e+02	3.8e+02	4.7e+02	5.4e+02	1.5e+02	0.38
edge_sa	11	0	0	0	0.36	1	1	0.5	1.4
edge_so	11	3.9e+02	5.2e+02	6.4e+02	7.5e+02	8.1e+02	1.7e+03	3.8e+02	0.51
edge_sl	11	0	0	0	0.091	0	1	0.3	3.3
edge_ts	11	0	4.5	13	12	22	27	9.8	0.79
edge_tt	11	2e+02	5e+02	5.2e+02	5.7e+02	6.8e+02	9.1e+02	1.9e+02	0.33
edge_td	11	86	1.6e+02	2e+02	1.9e+02	2.1e+02	2.5e+02	46	0.25
edge_ta	11	0	0	0	0	0	0	0
edge_to	11	0	0	0	0	0	0	0
edge_tl	11	0	0	0	0	0	0	0
edge_ds	11	56	67	98	95	1.1e+02	1.6e+02	33	0.34
edge_dt	11	30	50	65	77	1e+02	1.5e+02	35	0.46
edge_dd	11	1.1e+03	2.6e+03	3e+03	2.8e+03	3.2e+03	4e+03	7.9e+02	0.28
edge_da	11	0	0	0	0	0	0	0
edge_do	11	0	0	0	0	0	0	0
edge_dl	11	0	0	0	0	0	0	0
edge_as	11	0	0	0	0	0	0	0
edge_at	11	0	0	0	0.36	1	1	0.5	1.4
edge_ad	11	77	90	1.9e+02	2.6e+02	3.4e+02	9.2e+02	2.5e+02	0.96
edge_aa	11	0	0	0	0	0	0	0
edge_ao	11	0	0	0	0	0	0	0
edge_al	11	0	0	0	0	0	0	0
edge_os	11	2.1e+02	3.3e+02	3.8e+02	4.5e+02	4.6e+02	1e+03	2.3e+02	0.52
edge_ot	11	0	0	0	0	0	0	0
edge_od	11	1	7	11	11	16	22	6.2	0.54
edge_oa	11	0	0	0	0	0	0	0
edge_oo	11	48	76	91	1e+02	1.1e+02	2.4e+02	50	0.49
edge_ol	11	0	0	0	0	0	0	0
edge_ls	11	1.3e+02	1.6e+02	1.6e+02	3.4e+02	2.1e+02	1.7e+03	4.7e+02	1.4
edge_lt	11	0	0	0	0	0	0	0
edge_ld	11	7	12	14	16	20	25	6	0.38
edge_la	11	0	0	0	0	0	0	0
edge_lo	11	54	64	84	1.2e+02	1.5e+02	3e+02	83	0.68
edge_ll	11	0	0	0	0	0	0	0
op_short	11	0	0	0	0.00043	0	0.0048	0.0014	3.3
op_int	11	0.22	0.27	0.46	0.42	0.51	0.75	0.16	0.4
op_long	11	0.047	0.055	0.11	0.12	0.19	0.2	0.068	0.57
op_long_long	11	0.0029	0.0089	0.013	0.015	0.021	0.03	0.0088	0.58
op_float	11	0	0	0.00096	0.0013	0.0015	0.0054	0.0017	1.3
op_double	11	0.0024	0.0059	0.0089	0.013	0.02	0.035	0.011	0.81
op_bit	11	0.046	0.059	0.07	0.09	0.1	0.25	0.057	0.63

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	presolved	crash	cost_min	cost_mean	cost_max	cost_na
Basic	2	1e+02	0	0	0	0.015	0.31	0
CG	2	39	0	61	0	40	1.6e+02	0
DIAMETER	2	1e+02	0	0	0	1	2.4	0
KLB	2	1e+02	0	0	0	0.11	4.2	0
Pre	1	1e+02	0	0	0	0.98	38	0
cl	2	1e+02	0	0	0	1.8	2	0
lobjois	2	1e+02	0	0	0.49	2	2.7	0
ls_gsat	2	1e+02	0	0	0.4	2.1	3.4	0
ls_saps	2	1e+02	0	0	0.22	2	3.5	0
sp	2	1e+02	0	0	0	1.3	8.8	0
code	1	1e+02		0
AST	1	1e+02		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.