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

Algorithm Feature Values

	obs	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
Lines..Average.	8	22	22	24	24	25	29	2.7	0.11
Lines..Total.	8	1.4e+03	1.6e+03	4.1e+03	6.6e+03	9.2e+03	1.8e+04	6.5e+03	0.98
Size..Average.	8	7.6e+03	1.1e+04	1.5e+04	2e+04	2.2e+04	5.8e+04	1.6e+04	0.81
Size..Total.	8	4.7e+04	6.5e+04	2e+05	2.7e+05	3.8e+05	6.5e+05	2.4e+05	0.91
Number.of.files	8	1	4.5	16	20	32	52	19	0.94
Cyclomatic..Average.	8	3.9	5.1	5.5	5.7	6	8.1	1.3	0.23
Cyclomatic..Total.	8	3.1e+02	3.9e+02	7.4e+02	1.4e+03	1.6e+03	4.8e+03	1.5e+03	1.1
Max.Indent..Average.	8	2.4	2.5	2.6	2.6	2.7	3	0.22	0.082
Max.Indent..Total.	8	1.4e+02	1.8e+02	3.5e+02	6.1e+02	8.4e+02	1.6e+03	6e+02	0.97
nb_nodes	8	1e+04	1.7e+04	8.9e+04	1.6e+05	2.7e+05	4.4e+05	1.7e+05	1.1
nb_edges	8	1e+04	1.7e+04	9.1e+04	1.6e+05	2.8e+05	4.5e+05	1.8e+05	1.1
degree_min	8	1	1	1	1	1	1	0	0
degree_max	8	6.8e+02	1.2e+03	7e+03	1.5e+04	1.3e+04	7.1e+04	2.4e+04	1.6
degree_mean	8	2	2	2.1	2.1	2.1	2.1	0.017	0.0083
degree_variance	8	27	46	4e+02	2.3e+03	2.2e+03	1.3e+04	4.5e+03	1.9
degree_entropy	8	1.3	1.3	1.3	1.3	1.3	1.4	0.03	0.023
transitivity	8	5e-07	3.5e-06	1.8e-05	9.1e-05	0.00012	0.00043	0.00015	1.6
clustering_min	8	0	0	0	0	0	0	0
clustering_max	8	0.5	0.5	0.5	0.5	0.5	0.5	0	0
clustering_mean	8	0.0018	0.0022	0.0023	0.0023	0.0024	0.0031	0.0004	0.17
clustering_variance	8	0.00033	0.00039	0.00041	0.00043	0.00048	0.00057	7.6e-05	0.18
path_min	8	1	1	1	1	1	1	0	0
paths_max	8	22	24	27	27	30	33	4.3	0.16
path_mean	8	3.8	4.5	5.3	5.4	6.7	6.7	1.2	0.22
path_variance	8	11	16	17	16	18	18	2.4	0.15
path_entropy	8	1.5	1.8	2.2	2.1	2.5	2.5	0.39	0.18
Stmt	8	0.34	0.4	0.46	0.47	0.54	0.59	0.093	0.2
Type	8	0.023	0.035	0.039	0.039	0.046	0.056	0.011	0.27
Decl	8	0.14	0.27	0.33	0.3	0.34	0.42	0.097	0.33
Attribute	8	0.012	0.028	0.052	0.066	0.11	0.13	0.047	0.71
Operator	8	0.046	0.063	0.082	0.086	0.098	0.14	0.036	0.42
Literal	8	0.022	0.033	0.04	0.045	0.056	0.075	0.018	0.4
edge_ss	8	2.5e+03	2.6e+03	3.2e+03	3.2e+03	3.7e+03	4e+03	6.1e+02	0.19
edge_st	8	0	0	0	2.8	2	14	5.3	1.9
edge_sd	8	91	1.1e+02	1.4e+02	2.2e+02	2.5e+02	5.4e+02	1.7e+02	0.76
edge_sa	8	0	0	0	0.88	1.2	4	1.5	1.7
edge_so	8	5.6e+02	8.1e+02	1.1e+03	1.1e+03	1.2e+03	1.7e+03	4.2e+02	0.38
edge_sl	8	0	0	0	0	0	0	0
edge_ts	8	0	0	0	4.2	3.2	21	8.2	1.9
edge_tt	8	2.5e+02	4.2e+02	4.5e+02	4.6e+02	5.1e+02	6.8e+02	1.3e+02	0.28
edge_td	8	1.3e+02	1.7e+02	2e+02	2e+02	2.2e+02	2.9e+02	53	0.27
edge_ta	8	0	0	0	0	0	0	0
edge_to	8	0	0	0	0	0	0	0
edge_tl	8	0	0	0	0	0	0	0
edge_ds	8	26	78	92	1.2e+02	1.4e+02	2.7e+02	84	0.69
edge_dt	8	27	40	44	50	54	96	21	0.42
edge_dd	8	1.1e+03	2.5e+03	3.1e+03	2.7e+03	3.1e+03	4e+03	9.9e+02	0.37
edge_da	8	0	0	0	0	0	0	0
edge_do	8	0	0	0	0	0	0	0
edge_dl	8	0	0	0	0	0	0	0
edge_as	8	0	0	0	0	0	0	0
edge_at	8	0	0.75	1.5	2.5	3.2	9	3	1.2
edge_ad	8	1.1e+02	3e+02	5.1e+02	6.4e+02	1.1e+03	1.2e+03	4.4e+02	0.68
edge_aa	8	0	0	0	0	0	0	0
edge_ao	8	0	0	0	0	0	0	0
edge_al	8	0	0	0	0	0	0	0
edge_os	8	3.2e+02	4.8e+02	6.9e+02	7.1e+02	8.3e+02	1.2e+03	3.4e+02	0.47
edge_ot	8	0	0	0	0	0	0	0
edge_od	8	1	4.8	7	8.9	12	23	6.9	0.78
edge_oa	8	0	0	0	0	0	0	0
edge_oo	8	58	92	1e+02	1.1e+02	1.4e+02	1.8e+02	42	0.37
edge_ol	8	0	0	0	0	0	0	0
edge_ls	8	1.1e+02	1.4e+02	1.6e+02	1.8e+02	2.3e+02	2.8e+02	64	0.35
edge_lt	8	0	0	0	0	0	0	0
edge_ld	8	1	6.8	14	18	24	49	16	0.89
edge_la	8	0	0	0	0	0	0	0
edge_lo	8	53	1.4e+02	2.3e+02	2.3e+02	2.9e+02	4.2e+02	1.4e+02	0.61
edge_ll	8	0	0	0	0	0	0	0
op_short	8	0	0	0	0.001	0.0014	0.0042	0.0016	1.6
op_int	8	0.27	0.52	0.63	0.61	0.7	0.81	0.18	0.29
op_long	8	0.021	0.053	0.08	0.081	0.094	0.19	0.052	0.65
op_long_long	8	0	0.011	0.014	0.023	0.046	0.046	0.02	0.87
op_float	8	0	0	0.0058	0.011	0.017	0.041	0.014	1.3
op_double	8	0.0073	0.012	0.015	0.019	0.022	0.042	0.012	0.65
op_bit	8	0.007	0.033	0.06	0.065	0.096	0.13	0.041	0.64

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