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
cheap.pattern.time	5725	0	0	0	0.0035	0	1	0.059	17
cheap.pattern.vertices	5725	4	48	80	1.1e+02	1.3e+02	9e+02	1.1e+02	1.1
cheap.pattern.edges	5725	4	1.1e+02	2.4e+02	6e+02	7e+02	1.2e+04	1.1e+03	1.8
cheap.pattern.loops	5725	0	0	0	0.25	0	9	1.3	5.4
cheap.pattern.meandeg	5725	1.8	3.6	5.4	10	10	99	14	1.4
cheap.pattern.maxdeg	5725	2	8	11	21	26	2.7e+02	27	1.3
cheap.pattern.degisfixed	5725	0	0	0	0.11	0	1	0.32	2.8
cheap.pattern.density	5725	0.0045	0.044	0.098	0.17	0.18	1	0.22	1.3
cheap.target.time	5725	0	0	0	4	2	55	9.6	2.4
cheap.target.vertices	5725	10	2.2e+02	5.6e+02	1.1e+03	1.4e+03	6.7e+03	1.4e+03	1.3
cheap.target.edges	5725	15	9.3e+02	2.1e+03	7.2e+03	6e+03	2.1e+05	2.2e+04	3
cheap.target.loops	5725	0	0	0	1.6	0	1.4e+02	13	8.2
cheap.target.meandeg	5725	0.44	4.2	6	19	12	2.7e+02	40	2
cheap.target.maxdeg	5725	2	10	19	1e+02	52	5e+03	3.8e+02	3.8
cheap.target.degisfixed	5725	0	0	0	0.15	0	1	0.36	2.4
cheap.target.density	5725	0.00049	0.003	0.012	0.073	0.059	1	0.16	2.2
distance.pattern.time	5725	0	0	0	2	1	93	8	4
distance.pattern.isconnected	5725	0	1	1	0.8	1	1	0.4	0.5
distance.pattern.meandistance	5725	1	2	2.8	3.9	4.1	81	5.6	1.4
distance.pattern.maxdistance	5725	1	3	5	8.9	9	2.4e+02	17	1.9
distance.pattern.proportiondistancege2	5725	0	0.6	0.85	0.74	0.93	0.99	0.27	0.36
distance.pattern.proportiondistancege3	5725	0	0.097	0.5	0.46	0.82	0.98	0.35	0.76
distance.pattern.proportiondistancege4	5725	0	0	0.2	0.31	0.61	0.98	0.32	1
distance.target.time	5725	0	5	32	5.5e+02	2.1e+02	1e+04	1.5e+03	2.7
distance.target.isconnected	5725	0	0	1	0.71	1	1	0.45	0.64
distance.target.meandistance	5725	1	2.4	3.7	7.5	7.2	1e+02	12	1.6
distance.target.maxdistance	5725	1	5	8	16	16	2e+02	25	1.5
distance.target.proportiondistancege2	5725	0	0.61	0.95	0.79	0.99	1	0.29	0.36
distance.target.proportiondistancege3	5725	0	0.25	0.73	0.6	0.95	1	0.37	0.62
distance.target.proportiondistancege4	5725	0	0.029	0.39	0.45	0.88	1	0.38	0.85
lad.values.removed	5725	0	0	0	2.9e+04	1.1e+04	8.4e+05	8.2e+04	2.8
lad.values.removed.percent	5725	0	2.4	49	52	1e+02	1e+02	42	0.81
lad.values.removed.min	5725	0	0	0	6.7	0.32	1e+02	19	2.9
lad.values.removed.max	5725	0	0	0	33	88	1e+02	43	1.3
lad.time	5725	0	0	0	7.1	3	4e+03	81	11

Algorithm Feature Values

	obs	min	qu_1st	med	mean	qu_3rd	max	sd	coeff_var
Lines..Average.	4	4	4.2	6	6	7.7	7.8	2.1	0.35
Lines..Total.	4	2.2e+02	2.5e+02	2.6e+02	4.6e+02	4.7e+02	1.1e+03	4.2e+02	0.92
Size..Average.	4	1.6	1.9	2.3	2.2	2.7	2.7	0.55	0.25
Size..Total.	4	88	91	1e+02	1.7e+02	1.8e+02	4e+02	1.5e+02	0.88
Number.of.files	4	3.8e+03	4.9e+03	6.4e+03	6.1e+03	7.5e+03	7.8e+03	1.9e+03	0.31
Cyclomatic..Average.	4	4.4e+04	4.6e+04	5e+04	8.9e+04	9.3e+04	2.1e+05	8.2e+04	0.92
Cyclomatic..Total.	4	6	6	10	16	20	40	16	0.98
Max.Indent..Average.	4	11	13	18	18	23	23	5.9	0.33
Max.Indent..Total.	4	9.3e+02	9.5e+02	9.8e+02	1.9e+03	1.9e+03	4.5e+03	1.8e+03	0.96
nb_nodes	4	1e+04	1e+04	1.3e+05	4.3e+05	5.5e+05	1.4e+06	6.9e+05	1.6
nb_edges	4	1e+04	1.1e+04	1.4e+05	4.6e+05	5.9e+05	1.6e+06	7.4e+05	1.6
degree_min	4	1	1	1	1	1	1	0	0
degree_max	4	4.6e+02	4.6e+02	2.3e+03	2.6e+03	4.4e+03	5.4e+03	2.5e+03	0.97
degree_mean	4	2	2	2.1	2.1	2.1	2.2	0.062	0.03
degree_variance	4	26	27	56	58	87	96	37	0.63
degree_entropy	4	1.3	1.3	1.3	1.3	1.3	1.3	0.05	0.039
transitivity	4	0.00011	0.00015	0.00016	0.00015	0.00016	0.00016	2.8e-05	0.19
clustering_min	4	0	0	0	0	0	0	0
clustering_max	4	0.5	0.5	0.5	0.5	0.5	0.5	0	0
clustering_mean	4	0.0016	0.0016	0.002	0.0022	0.0026	0.0032	0.00074	0.33
clustering_variance	4	0.00037	0.00038	0.00039	0.00041	0.00043	0.00051	6.6e-05	0.16
path_min	4	1	1	1	1	1	1	0	0
paths_max	4	25	26	30	29	33	33	4.3	0.15
path_mean	4	5.9	7	7.5	7.2	7.6	7.8	0.83	0.12
path_variance	4	10	18	24	22	28	29	8.6	0.39
path_entropy	4	2.4	2.5	2.6	2.5	2.6	2.6	0.12	0.048
Stmt	4	0.49	0.55	0.63	0.61	0.68	0.69	0.097	0.16
Type	4	0.016	0.016	0.035	0.039	0.057	0.069	0.027	0.69
Decl	4	0.14	0.15	0.22	0.24	0.32	0.36	0.11	0.46
Attribute	4	0.005	0.017	0.024	0.02	0.026	0.027	0.01	0.51
Operator	4	0.045	0.048	0.066	0.065	0.083	0.084	0.021	0.32
Literal	4	0.011	0.022	0.034	0.031	0.043	0.044	0.015	0.5
edge_ss	4	3.4e+03	3.8e+03	4.7e+03	4.6e+03	5.5e+03	5.6e+03	1.1e+03	0.24
edge_st	4	0	0	7	9	16	22	11	1.2
edge_sd	4	1.9e+02	2.1e+02	3.3e+02	3.3e+02	4.6e+02	4.7e+02	1.5e+02	0.45
edge_sa	4	0	0	0	0.75	0.75	3	1.5	2
edge_so	4	5.7e+02	6.1e+02	8.5e+02	8.5e+02	1.1e+03	1.1e+03	2.9e+02	0.35
edge_sl	4	0	0	0	0.25	0.25	1	0.5	2
edge_ts	4	0	0	8	11	19	29	14	1.2
edge_tt	4	1.6e+02	1.7e+02	4.2e+02	5e+02	7.5e+02	1e+03	4.1e+02	0.82
edge_td	4	88	99	1.6e+02	1.6e+02	2.3e+02	2.4e+02	80	0.49
edge_ta	4	0	0	0	0	0	0	0
edge_to	4	0	0	0	0	0	0	0
edge_tl	4	0	0	0	0	0	0	0
edge_ds	4	86	1.1e+02	1.3e+02	1.2e+02	1.4e+02	1.4e+02	26	0.21
edge_dt	4	16	20	56	76	1.1e+02	1.8e+02	76	0.99
edge_dd	4	1.3e+03	1.3e+03	1.9e+03	2.1e+03	2.7e+03	3.2e+03	9.8e+02	0.47
edge_da	4	0	0	0	0	0	0	0
edge_do	4	0	0	0	0	0	0	0
edge_dl	4	0	0	0	0	0	0	0
edge_as	4	0	0	0.5	0.5	1	1	0.58	1.2
edge_at	4	0	0	0	0	0	0	0
edge_ad	4	44	1.3e+02	2e+02	1.8e+02	2.5e+02	2.7e+02	1e+02	0.57
edge_aa	4	0	0	0	0	0	0	0
edge_ao	4	0	0	0	0	0	0	0
edge_al	4	0	0	0	0	0	0	0
edge_os	4	3.1e+02	3.6e+02	5.5e+02	5.4e+02	7.3e+02	7.3e+02	2.2e+02	0.42
edge_ot	4	0	0	0	0	0	0	0
edge_od	4	2	2.8	6.5	7	11	13	5.4	0.76
edge_oa	4	0	0	0	0	0	0	0
edge_oo	4	67	71	77	80	86	98	14	0.17
edge_ol	4	0	0	0	0	0	0	0
edge_ls	4	1.4e+02	1.7e+02	1.9e+02	1.8e+02	2e+02	2.1e+02	32	0.18
edge_lt	4	0	0	0	0	0	0	0
edge_ld	4	12	15	17	16	18	19	3.1	0.19
edge_la	4	0	0	0	0	0	0	0
edge_lo	4	65	70	1.3e+02	1.3e+02	1.9e+02	2.1e+02	74	0.56
edge_ll	4	0	0	0	0	0	0	0
op_short	4	0	0	0	0.0055	0.0055	0.022	0.011	2
op_int	4	0.36	0.36	0.6	0.6	0.84	0.85	0.28	0.46
op_long	4	0.057	0.065	0.1	0.11	0.15	0.19	0.062	0.55
op_long_long	4	0	0	0.0048	0.0069	0.012	0.018	0.0087	1.3
op_float	4	0	0	0.00068	0.002	0.0026	0.0065	0.0031	1.6
op_double	4	0	0	0.00068	0.00099	0.0017	0.0026	0.0012	1.3
op_bit	4	0	0	0.016	0.033	0.049	0.099	0.047	1.4

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	cost_min	cost_mean	cost_max	cost_na
cheap_pattern	1	1e+02	0	0	0.0035	1	0
cheap_target	1	1e+02	0	0	4	55	0
distance_pattern	1	1e+02	0	0	5.5e+02	1e+04	0
distance_target	1	1e+02	0	0	5.5e+02	1e+04	0
lad_features	1	66	34	0	7.1	4e+03	0
code	1	1e+02
AST	1	1e+02

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.

block	numbers	instances
1	2	g4-g81 +++++++ g4-g82-normed
2	10	si2_b03_m200.00 +++++++ si2_b03_m200.01 +++++++ si2_b03_m200.02 +++++++ si2_b03_m200.03 +++++++ si2_b03_m200.04 +++++++ ...
3	10	si2_b03_m400.00 +++++++ si2_b03_m400.01 +++++++ si2_b03_m400.02 +++++++ si2_b03_m400.03 +++++++ si2_b03_m400.04 +++++++ ...
4	6	si2_b03_m800.00 +++++++ si2_b03_m800.02 +++++++ si2_b03_m800.04 +++++++ si2_b03_m800.05 +++++++ si2_b03_m800.07 +++++++ ...
5	3	si2_b03_m800.01 +++++++ si2_b03_m800.03 +++++++ si2_b03_m800.06
6	10	si2_b06_m200.00 +++++++ si2_b06_m200.01 +++++++ si2_b06_m200.02 +++++++ si2_b06_m200.03 +++++++ si2_b06_m200.04 +++++++ ...
7	10	si2_b06_m400.00 +++++++ si2_b06_m400.01 +++++++ si2_b06_m400.02 +++++++ si2_b06_m400.03 +++++++ si2_b06_m400.04 +++++++ ...
8	5	si2_b06_m800.00 +++++++ si2_b06_m800.01 +++++++ si2_b06_m800.02 +++++++ si2_b06_m800.03 +++++++ si2_b06_m800.04
9	2	si2_b06_m800.05 +++++++ si2_b06_m800.06
10	2	si2_b06_m800.07 +++++++ si2_b06_m800.08
11	5	si2_b09_m200.00 +++++++ si2_b09_m200.05 +++++++ si2_b09_m200.06 +++++++ si2_b09_m200.07 +++++++ si2_b09_m200.09
12	3	si2_b09_m200.01 +++++++ si2_b09_m200.03 +++++++ si2_b09_m200.04
13	5	si2_b09_m400.00 +++++++ si2_b09_m400.03 +++++++ si2_b09_m400.04 +++++++ si2_b09_m400.07 +++++++ si2_b09_m400.09
14	4	si2_b09_m400.01 +++++++ si2_b09_m400.02 +++++++ si2_b09_m400.05 +++++++ si2_b09_m400.08
15	3	si2_b09_m800.02 +++++++ si2_b09_m800.04 +++++++ si2_b09_m800.07
16	3	si2_m4D_m256.01 +++++++ si2_m4D_m256.03 +++++++ si2_m4D_m256.06
17	2	si2_m4D_m625.01 +++++++ si2_m4D_m625.09
18	4	si2_m4D_m625.05 +++++++ si2_m4D_m625.06 +++++++ si2_m4D_m625.07 +++++++ si2_m4D_m625.08
19	10	si4_b03_m200.00 +++++++ si4_b03_m200.01 +++++++ si4_b03_m200.02 +++++++ si4_b03_m200.03 +++++++ si4_b03_m200.04 +++++++ ...
20	10	si4_b03_m400.00 +++++++ si4_b03_m400.01 +++++++ si4_b03_m400.02 +++++++ si4_b03_m400.03 +++++++ si4_b03_m400.04 +++++++ ...
21	3	si4_b03_m800.00 +++++++ si4_b03_m800.08 +++++++ si4_b03_m800.09
22	7	si4_b03_m800.01 +++++++ si4_b03_m800.02 +++++++ si4_b03_m800.03 +++++++ si4_b03_m800.04 +++++++ si4_b03_m800.05 +++++++ ...
23	10	si4_b06_m200.00 +++++++ si4_b06_m200.01 +++++++ si4_b06_m200.02 +++++++ si4_b06_m200.03 +++++++ si4_b06_m200.04 +++++++ ...
24	10	si4_b06_m400.00 +++++++ si4_b06_m400.01 +++++++ si4_b06_m400.02 +++++++ si4_b06_m400.03 +++++++ si4_b06_m400.04 +++++++ ...
25	3	si4_b06_m800.00 +++++++ si4_b06_m800.03 +++++++ si4_b06_m800.08
26	5	si4_b06_m800.01 +++++++ si4_b06_m800.02 +++++++ si4_b06_m800.05 +++++++ si4_b06_m800.07 +++++++ si4_b06_m800.09
27	9	si4_b09_m200.00 +++++++ si4_b09_m200.01 +++++++ si4_b09_m200.02 +++++++ si4_b09_m200.03 +++++++ si4_b09_m200.04 +++++++ ...
28	3	si4_b09_m400.00 +++++++ si4_b09_m400.01 +++++++ si4_b09_m400.05
29	6	si4_b09_m400.02 +++++++ si4_b09_m400.03 +++++++ si4_b09_m400.04 +++++++ si4_b09_m400.07 +++++++ si4_b09_m400.08 +++++++ ...
30	4	si4_b09_m800.00 +++++++ si4_b09_m800.01 +++++++ si4_b09_m800.02 +++++++ si4_b09_m800.06
31	3	si4_b09_m800.03 +++++++ si4_b09_m800.04 +++++++ si4_b09_m800.08
32	2	si4_m4D_m1296.01 +++++++ si4_m4D_m1296.05
33	10	si6_b03_m200.00 +++++++ si6_b03_m200.01 +++++++ si6_b03_m200.02 +++++++ si6_b03_m200.03 +++++++ si6_b03_m200.04 +++++++ ...
34	9	si6_b03_m400.00 +++++++ si6_b03_m400.01 +++++++ si6_b03_m400.02 +++++++ si6_b03_m400.04 +++++++ si6_b03_m400.05 +++++++ ...
35	7	si6_b03_m800.01 +++++++ si6_b03_m800.03 +++++++ si6_b03_m800.05 +++++++ si6_b03_m800.06 +++++++ si6_b03_m800.07 +++++++ ...
36	2	si6_b03_m800.02 +++++++ si6_b03_m800.04
37	10	si6_b06_m200.00 +++++++ si6_b06_m200.01 +++++++ si6_b06_m200.02 +++++++ si6_b06_m200.03 +++++++ si6_b06_m200.04 +++++++ ...
38	9	si6_b06_m400.00 +++++++ si6_b06_m400.01 +++++++ si6_b06_m400.02 +++++++ si6_b06_m400.03 +++++++ si6_b06_m400.04 +++++++ ...
39	2	si6_b06_m800.01 +++++++ si6_b06_m800.07
40	2	si6_b06_m800.02 +++++++ si6_b06_m800.04
41	2	si6_b06_m800.03 +++++++ si6_b06_m800.08
42	7	si6_b09_m200.00 +++++++ si6_b09_m200.01 +++++++ si6_b09_m200.02 +++++++ si6_b09_m200.03 +++++++ si6_b09_m200.05 +++++++ ...
43	3	si6_b09_m200.04 +++++++ si6_b09_m200.07 +++++++ si6_b09_m200.08
44	4	si6_b09_m400.00 +++++++ si6_b09_m400.01 +++++++ si6_b09_m400.02 +++++++ si6_b09_m400.04
45	5	si6_b09_m400.03 +++++++ si6_b09_m400.06 +++++++ si6_b09_m400.07 +++++++ si6_b09_m400.08 +++++++ si6_b09_m400.09
46	3	si6_b09_m800.00 +++++++ si6_b09_m800.01 +++++++ si6_b09_m800.03
47	3	si6_m4D_m625.00 +++++++ si6_m4D_m625.01 +++++++ si6_m4D_m625.04