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
f_1	630	12	7.8e+03	1.8e+04	2.6e+05	8.3e+04	1.9e+07	1.4e+06	5.3
f_2	630	25	5.1e+04	1.1e+05	1.2e+06	8e+05	2.7e+07	3.1e+06	2.6
f_3	630	3e-05	0.0049	0.021	0.063	0.11	1	0.099	1.6
f_4	630	1	3.6e+02	2.7e+03	1.2e+07	9e+05	1.1e+09	8.5e+07	7.4
f_5	630	0	1e+02	6.4e+03	6.3e+06	1.3e+06	4.7e+08	4e+07	6.3
f_6	630	1	1	2	4.4e+05	80	5.3e+07	3.7e+06	8.3
f_7	630	1	5.8e+02	5e+04	2.6e+07	7.2e+06	2.3e+09	1.8e+08	6.9
f_8	630	0.0034	0.12	0.16	0.18	0.22	0.84	0.11	0.59
f_9	630	0	3e-05	0.00012	0.0013	0.00034	0.25	0.011	8.3
f_10	630	0	0.97	3.1	3.7	5.2	11	3	0.83
f_11	630	0	0	2e-05	0.00021	5e-05	0.04	0.0021	10
f_12	630	2e-05	0.00096	0.0038	0.03	0.071	0.4	0.041	1.4
f_13	630	0	0.00095	0.0038	0.029	0.071	0.36	0.04	1.4
f_14	630	0	3e-05	0.00012	0.0013	0.00034	0.25	0.011	8.3
f_15	630	0	0.32	0.49	0.74	0.62	4.9	0.83	1.1
f_16	630	0	1e-05	6e-05	0.00051	0.00013	0.083	0.004	7.8
f_17	630	0	0.00033	0.0041	0.0064	0.0064	0.33	0.017	2.6
f_18	630	0	0.0003	0.004	0.0059	0.0057	0.25	0.013	2.2
f_19	630	0.19	0.36	0.46	0.46	0.5	0.87	0.17	0.38
f_20	630	0.00068	0.25	0.36	0.5	0.6	1.3	0.39	0.77
f_21	630	0	0	0.013	0.059	0.091	0.5	0.094	1.6
f_22	630	0.33	0.96	1	0.9	1	1	0.2	0.22
f_23	630	0.0011	0.85	0.98	0.84	1	1	0.26	0.31
f_24	630	0.06	0.41	0.48	0.48	0.53	0.78	0.15	0.31
f_25	630	0	0.35	0.48	0.53	0.57	3.4	0.37	0.7
f_26	630	0	0	0	0	0	0	0
f_27	630	1	1	1	1	1	1	0	0
f_28	630	1	1	1	1	1	1	0	0
f_29	630	0.00025	0.011	0.026	0.07	0.16	0.62	0.078	1.1
f_30	630	0.00032	0.27	0.61	0.54	0.8	0.97	0.27	0.49
f_31	630	0.073	0.82	0.98	0.88	1	1	0.19	0.22
f_32	630	0	1e-05	8e-05	0.00044	0.00014	0.066	0.0032	7.1
f_33	630	0	0	0	0.054	0	3.4	0.37	6.7
f_34	630	0	0	0	0.00016	1.8e-05	0.04	0.0021	13
f_35	630	2e-05	0.00039	0.0019	0.011	0.023	0.13	0.019	1.7
f_36	630	0	0.00036	0.0019	0.011	0.023	0.13	0.018	1.7
f_37	630	0.021	0.49	0.81	0.7	0.83	1	0.24	0.34

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	cost_min	cost_mean	cost_max	cost_na
base	1	1e+02	0	0	0	0	0	0	0	1.5	41	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.

block	numbers	instances
1	3	103c9978-5408-11df-9bc1-00163e7a6f5e_l1.wcnf +++++++ 29180036-5408-11df-9f57-00163e7a6f5e_l1.wcnf +++++++ eeee44ce-5407-11df-b11f-00163e7a6f5e_l1.wcnf
2	2	29180036-5408-11df-9f57-00163e7a6f5e_l2.wcnf +++++++ eeee44ce-5407-11df-b11f-00163e7a6f5e_l2.wcnf
3	2	3e4f8550-0b33-11df-942d-00163e1d94dc_l1.wcnf +++++++ 3e4f8550-0b33-11df-942d-00163e1d94dc_l2.wcnf
4	3	4a69cf16-c731-11df-9182-00163e3d3b7c_l1.wcnf +++++++ 5698a62c-c731-11df-9bb9-00163e3d3b7c_l1.wcnf +++++++ d0cc7514-c730-11df-a040-00163e3d3b7c_l1.wcnf
5	2	4ede8d96-c17a-11df-a7c5-00163e3d3b7c_l1.wcnf +++++++ 56e31304-c17a-11df-b070-00163e3d3b7c_l1.wcnf
6	2	6b0d1da0-c730-11df-a7c5-00163e3d3b7c_l1.wcnf +++++++ 978532fa-c730-11df-b070-00163e3d3b7c_l1.wcnf
7	2	7bf50d1c-9b1b-11df-8b50-00163e46d37a_l1.wcnf +++++++ 80cfe9a6-9b1b-11df-965e-00163e46d37a_l1.wcnf
8	2	7f80e4f0-4fe9-11e0-acd7-00163e1e087d_l1.wcnf +++++++ e2f6303a-4fe9-11e0-aa4f-00163e1e087d_l1.wcnf
9	4	80e3fda2-9501-11e0-8001-00163e1e087d_l2.wcnf +++++++ a754ac72-95cc-11e0-9181-00163e1e087d_l2.wcnf +++++++ cff22854-9512-11e0-8001-00163e1e087d_l2.wcnf +++++++ e381ba7e-a192-11e0-8647-00163e1e087d_l2.wcnf
10	2	8afdd89e-51b8-11e0-acd7-00163e1e087d_l1.wcnf +++++++ b2540c52-51b7-11e0-aa4f-00163e1e087d_l1.wcnf
11	2	8b0e7c16-bab4-11e0-a883-00163e1e087d_l2.wcnf +++++++ ab9005be-bacc-11e0-b0f6-00163e1e087d_l2.wcnf
12	2	bccf69ae-db9e-11df-9a24-00163e3d3b7c_l1.wcnf +++++++ fa3d0fb2-db9e-11df-a0ec-00163e3d3b7c_l1.wcnf
13	2	ca8f656c-db9e-11df-b9cf-00163e3d3b7c_l2.wcnf +++++++ deb285a6-db9e-11df-8f4f-00163e3d3b7c_l2.wcnf
14	4	caefdef6-3477-11e0-84ef-00163e3d3b7c_l1.wcnf +++++++ d023d256-3477-11e0-bdb2-00163e3d3b7c_l1.wcnf +++++++ d5026b8e-3477-11e0-986e-00163e3d3b7c_l1.wcnf +++++++ dba3a3fe-3477-11e0-9e6c-00163e3d3b7c_l1.wcnf
15	3	caefdef6-3477-11e0-84ef-00163e3d3b7c_l2.wcnf +++++++ d023d256-3477-11e0-bdb2-00163e3d3b7c_l2.wcnf +++++++ dba3a3fe-3477-11e0-9e6c-00163e3d3b7c_l2.wcnf
16	2	comp03.wcnf +++++++ comp15.wcnf
17	2	e599f3fc-360e-11e0-986e-00163e3d3b7c_l1.wcnf +++++++ f4ebf9e0-360e-11e0-9e6c-00163e3d3b7c_l1.wcnf
18	2	rc-1.wcnf +++++++ rc-3.wcnf