mirror of
https://github.com/Doctorado-ML/Stree_datasets.git
synced 2025-08-16 16:06:03 +00:00
Add oc1 norm/no_norm results
This commit is contained in:
@@ -1,49 +1,108 @@
|
||||
Processing balance-scale nodes= 40.20 leaves= 20.60 depth= 7.40 accuracy=[0.914±0.030] time=[0.172±0.023] elements=[50 50]
|
||||
Processing balloons nodes= 5.40 leaves= 3.20 depth= 2.20 accuracy=[0.590±0.261] time=[0.000±0.000] elements=[50 50]
|
||||
Processing breast-cancer-wisc-diag nodes= 22.60 leaves= 11.80 depth= 6.00 accuracy=[0.934±0.026] time=[0.494±0.076] elements=[50 50]
|
||||
Processing breast-cancer-wisc-prog nodes= 28.60 leaves= 14.80 depth= 6.80 accuracy=[0.704±0.077] time=[0.157±0.043] elements=[50 50]
|
||||
Processing breast-cancer-wisc nodes= 31.00 leaves= 16.00 depth= 7.80 accuracy=[0.945±0.015] time=[0.258±0.038] elements=[50 50]
|
||||
Processing breast-cancer nodes= 61.40 leaves= 31.20 depth=10.60 accuracy=[0.670±0.075] time=[0.126±0.031] elements=[50 50]
|
||||
Processing cardiotocography-10clases nodes=311.40 leaves=156.20 depth=15.80 accuracy=[0.806±0.021] time=[6.038±0.369] elements=[50 50]
|
||||
Processing cardiotocography-3clases nodes=134.60 leaves= 67.80 depth=11.40 accuracy=[0.909±0.014] time=[3.271±0.458] elements=[50 50]
|
||||
Processing conn-bench-sonar-mines-rocks nodes= 25.00 leaves= 13.00 depth= 5.60 accuracy=[0.715±0.085] time=[0.095±0.009] elements=[50 50]
|
||||
Processing cylinder-bands nodes= 94.60 leaves= 47.80 depth=11.80 accuracy=[0.678±0.044] time=[0.518±0.113] elements=[50 50]
|
||||
Processing dermatology nodes= 22.20 leaves= 11.60 depth= 6.00 accuracy=[0.931±0.038] time=[0.313±0.026] elements=[50 50]
|
||||
Processing echocardiogram nodes= 19.00 leaves= 10.00 depth= 5.40 accuracy=[0.748±0.087] time=[0.034±0.006] elements=[50 50]
|
||||
Processing fertility nodes= 14.60 leaves= 7.80 depth= 5.80 accuracy=[0.772±0.083] time=[0.024±0.006] elements=[50 50]
|
||||
Processing haberman-survival nodes= 70.60 leaves= 35.80 depth=10.60 accuracy=[0.641±0.070] time=[0.074±0.009] elements=[50 50]
|
||||
Processing heart-hungarian nodes= 43.40 leaves= 22.20 depth= 7.20 accuracy=[0.751±0.063] time=[0.121±0.019] elements=[50 50]
|
||||
Processing hepatitis nodes= 21.00 leaves= 11.00 depth= 5.80 accuracy=[0.779±0.085] time=[0.047±0.013] elements=[50 50]
|
||||
Processing ilpd-indian-liver nodes=117.00 leaves= 59.00 depth=15.00 accuracy=[0.665±0.049] time=[0.263±0.029] elements=[50 50]
|
||||
Processing ionosphere nodes= 23.00 leaves= 12.00 depth= 7.00 accuracy=[0.891±0.037] time=[0.263±0.037] elements=[50 50]
|
||||
Processing iris nodes= 7.40 leaves= 4.20 depth= 3.20 accuracy=[0.949±0.039] time=[0.016±0.003] elements=[50 50]
|
||||
Processing led-display nodes=123.00 leaves= 62.00 depth= 8.00 accuracy=[0.702±0.029] time=[0.308±0.018] elements=[50 50]
|
||||
Processing libras nodes=105.80 leaves= 53.40 depth= 8.60 accuracy=[0.634±0.061] time=[0.549±0.086] elements=[50 50]
|
||||
Processing low-res-spect nodes= 63.00 leaves= 32.00 depth= 8.00 accuracy=[0.833±0.036] time=[1.066±0.194] elements=[50 50]
|
||||
Processing lymphography nodes= 18.20 leaves= 9.60 depth= 4.40 accuracy=[0.730±0.092] time=[0.055±0.009] elements=[50 50]
|
||||
Processing mammographic nodes=179.40 leaves= 90.20 depth=14.20 accuracy=[0.773±0.041] time=[0.347±0.029] elements=[50 50]
|
||||
Processing molec-biol-promoter nodes= 20.60 leaves= 10.80 depth= 4.80 accuracy=[0.735±0.079] time=[0.003±0.000] elements=[50 50]
|
||||
Processing musk-1 nodes= 59.40 leaves= 30.20 depth=11.20 accuracy=[0.769±0.046] time=[0.659±0.059] elements=[50 50]
|
||||
Processing oocytes_merluccius_nucleus_4d nodes=165.00 leaves= 83.00 depth=12.60 accuracy=[0.725±0.031] time=[1.208±0.157] elements=[50 50]
|
||||
Processing oocytes_merluccius_states_2f nodes= 66.20 leaves= 33.60 depth= 7.80 accuracy=[0.885±0.023] time=[1.032±0.139] elements=[50 50]
|
||||
Processing oocytes_trisopterus_nucleus_2f nodes=141.40 leaves= 71.20 depth=12.40 accuracy=[0.722±0.034] time=[0.741±0.071] elements=[50 50]
|
||||
Processing oocytes_trisopterus_states_5b nodes= 89.00 leaves= 45.00 depth=12.20 accuracy=[0.867±0.027] time=[1.091±0.138] elements=[50 50]
|
||||
Processing parkinsons nodes= 18.60 leaves= 9.80 depth= 5.60 accuracy=[0.847±0.058] time=[0.085±0.021] elements=[50 50]
|
||||
Processing pima nodes=122.20 leaves= 61.60 depth= 9.20 accuracy=[0.693±0.036] time=[0.402±0.044] elements=[50 50]
|
||||
Processing pittsburg-bridges-MATERIAL nodes= 14.20 leaves= 7.60 depth= 3.80 accuracy=[0.804±0.097] time=[0.019±0.004] elements=[50 50]
|
||||
Processing pittsburg-bridges-REL-L nodes= 28.60 leaves= 14.80 depth= 6.60 accuracy=[0.629±0.110] time=[0.024±0.004] elements=[50 50]
|
||||
Processing pittsburg-bridges-SPAN nodes= 25.00 leaves= 13.00 depth= 5.80 accuracy=[0.595±0.116] time=[0.019±0.003] elements=[50 50]
|
||||
Processing pittsburg-bridges-T-OR-D nodes= 16.20 leaves= 8.60 depth= 5.40 accuracy=[0.818±0.076] time=[0.015±0.004] elements=[50 50]
|
||||
Processing planning nodes= 41.80 leaves= 21.40 depth= 8.60 accuracy=[0.569±0.094] time=[0.064±0.015] elements=[50 50]
|
||||
Processing post-operative nodes= 32.20 leaves= 16.60 depth= 7.20 accuracy=[0.567±0.118] time=[0.019±0.005] elements=[50 50]
|
||||
Processing seeds nodes= 11.80 leaves= 6.40 depth= 4.00 accuracy=[0.927±0.037] time=[0.036±0.004] elements=[50 50]
|
||||
Processing statlog-australian-credit nodes=145.40 leaves= 73.20 depth=13.40 accuracy=[0.588±0.054] time=[0.546±0.087] elements=[50 50]
|
||||
Processing statlog-german-credit nodes=190.20 leaves= 95.60 depth=19.00 accuracy=[0.688±0.032] time=[1.455±0.331] elements=[50 50]
|
||||
Processing statlog-heart nodes= 33.80 leaves= 17.40 depth= 7.00 accuracy=[0.734±0.061] time=[0.119±0.020] elements=[50 50]
|
||||
Processing statlog-image nodes=103.00 leaves= 52.00 depth=12.20 accuracy=[0.957±0.010] time=[2.765±0.124] elements=[50 50]
|
||||
Processing statlog-vehicle nodes=178.60 leaves= 89.80 depth=13.00 accuracy=[0.686±0.039] time=[0.842±0.066] elements=[50 50]
|
||||
Processing synthetic-control nodes= 44.20 leaves= 22.60 depth= 7.20 accuracy=[0.871±0.034] time=[1.337±0.101] elements=[50 50]
|
||||
Processing tic-tac-toe nodes= 36.60 leaves= 18.80 depth= 8.20 accuracy=[0.932±0.026] time=[0.451±0.084] elements=[50 50]
|
||||
Processing vertebral-column-2clases nodes= 36.60 leaves= 18.80 depth= 7.00 accuracy=[0.805±0.054] time=[0.064±0.006] elements=[50 50]
|
||||
Processing wine nodes= 9.00 leaves= 5.00 depth= 3.20 accuracy=[0.905±0.055] time=[0.039±0.005] elements=[50 50]
|
||||
Processing zoo nodes= 14.20 leaves= 7.60 depth= 4.00 accuracy=[0.882±0.081] time=[0.019±0.002] elements=[50 50]
|
||||
Generating csv datasets
|
||||
========================
|
||||
Generating: balance-scale, balloons, breast-cancer-wisc-diag, breast-cancer-wisc-prog, breast-cancer-wisc, breast-cancer, cardiotocography-10clases, cardiotocography-3clases, conn-bench-sonar-mines-rocks, cylinder-bands, dermatology, echocardiogram, fertility, haberman-survival, heart-hungarian, hepatitis, ilpd-indian-liver, ionosphere, iris, led-display, libras, low-res-spect, lymphography, mammographic, molec-biol-promoter, musk-1, oocytes_merluccius_nucleus_4d, oocytes_merluccius_states_2f, oocytes_trisopterus_nucleus_2f, oocytes_trisopterus_states_5b, parkinsons, pima, pittsburg-bridges-MATERIAL, pittsburg-bridges-REL-L, pittsburg-bridges-SPAN, pittsburg-bridges-T-OR-D, planning, post-operative, seeds, statlog-australian-credit, statlog-german-credit,
|
||||
statlog-heart, statlog-image, statlog-vehicle, synthetic-control, tic-tac-toe, vertebral-column-2clases, wine, zoo, end
|
||||
|
||||
Processing datasets
|
||||
===================
|
||||
*balance-scale : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*balloons : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*breast-cancer-wisc-diag : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*breast-cancer-wisc-prog : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*breast-cancer-wisc : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*breast-cancer : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*cardiotocography-10clases : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*cardiotocography-3clases : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*conn-bench-sonar-mines-rocks : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*cylinder-bands : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*dermatology : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*echocardiogram : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*fertility : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*haberman-survival : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*heart-hungarian : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*hepatitis : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*ilpd-indian-liver : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*ionosphere : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*iris : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*led-display : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*libras : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*low-res-spect : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*lymphography : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*mammographic : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*molec-biol-promoter : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*musk-1 : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*oocytes_merluccius_nucleus_4d : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*oocytes_merluccius_states_2f : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*oocytes_trisopterus_nucleus_2f: 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*oocytes_trisopterus_states_5b : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*parkinsons : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*pima : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*pittsburg-bridges-MATERIAL : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*pittsburg-bridges-REL-L : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*pittsburg-bridges-SPAN : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*pittsburg-bridges-T-OR-D : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*planning : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*post-operative : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*seeds : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*statlog-australian-credit : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*statlog-german-credit : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*statlog-heart : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*statlog-image : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*statlog-vehicle : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*synthetic-control : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*tic-tac-toe : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*vertebral-column-2clases : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*wine : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
*zoo : 57, 31, 1714, 17, 23, 79, 83, 97, 7, 1, done
|
||||
|
||||
Generating SQL
|
||||
==============
|
||||
Processing balance-scale nodes= 19.60 leaves= 6.60 depth= 7.40 accuracy=[0.914±0.030] time=[0.178±0.023] elements=[50 50]
|
||||
Processing balloons nodes= 2.20 leaves= 1.00 depth= 2.20 accuracy=[0.590±0.261] time=[0.001±0.001] elements=[50 50]
|
||||
Processing breast-cancer-wisc-diag nodes= 10.80 leaves= 4.20 depth= 6.00 accuracy=[0.934±0.026] time=[0.517±0.080] elements=[50 50]
|
||||
Processing breast-cancer-wisc-prog nodes= 13.80 leaves= 5.00 depth= 6.80 accuracy=[0.704±0.077] time=[0.159±0.044] elements=[50 50]
|
||||
Processing breast-cancer-wisc nodes= 15.00 leaves= 5.20 depth= 7.80 accuracy=[0.945±0.015] time=[0.261±0.038] elements=[50 50]
|
||||
Processing breast-cancer nodes= 30.20 leaves= 7.80 depth=10.60 accuracy=[0.670±0.075] time=[0.126±0.031] elements=[50 50]
|
||||
Processing cardiotocography-10clases nodes=155.20 leaves= 50.80 depth=15.80 accuracy=[0.806±0.021] time=[6.264±0.395] elements=[50 50]
|
||||
Processing cardiotocography-3clases nodes= 66.80 leaves= 21.40 depth=11.40 accuracy=[0.909±0.014] time=[3.410±0.481] elements=[50 50]
|
||||
Processing conn-bench-sonar-mines-rocks nodes= 12.00 leaves= 5.00 depth= 5.60 accuracy=[0.715±0.085] time=[0.100±0.009] elements=[50 50]
|
||||
Processing cylinder-bands nodes= 46.80 leaves= 14.20 depth=11.80 accuracy=[0.678±0.044] time=[0.545±0.121] elements=[50 50]
|
||||
Processing dermatology nodes= 10.60 leaves= 3.40 depth= 6.00 accuracy=[0.931±0.038] time=[0.330±0.026] elements=[50 50]
|
||||
Processing echocardiogram nodes= 9.00 leaves= 3.20 depth= 5.40 accuracy=[0.748±0.087] time=[0.036±0.006] elements=[50 50]
|
||||
Processing fertility nodes= 6.80 leaves= 1.80 depth= 5.80 accuracy=[0.772±0.083] time=[0.025±0.006] elements=[50 50]
|
||||
Processing haberman-survival nodes= 34.80 leaves= 9.40 depth=10.60 accuracy=[0.641±0.070] time=[0.076±0.009] elements=[50 50]
|
||||
Processing heart-hungarian nodes= 21.20 leaves= 6.20 depth= 7.20 accuracy=[0.751±0.063] time=[0.127±0.020] elements=[50 50]
|
||||
Processing hepatitis nodes= 10.00 leaves= 3.40 depth= 5.80 accuracy=[0.779±0.085] time=[0.048±0.013] elements=[50 50]
|
||||
Processing ilpd-indian-liver nodes= 58.00 leaves= 16.80 depth=15.00 accuracy=[0.665±0.049] time=[0.277±0.029] elements=[50 50]
|
||||
Processing ionosphere nodes= 11.00 leaves= 3.00 depth= 7.00 accuracy=[0.891±0.037] time=[0.276±0.039] elements=[50 50]
|
||||
Processing iris nodes= 3.20 leaves= 1.00 depth= 3.20 accuracy=[0.949±0.039] time=[0.017±0.003] elements=[50 50]
|
||||
Processing led-display nodes= 61.00 leaves= 22.80 depth= 8.00 accuracy=[0.702±0.029] time=[0.321±0.018] elements=[50 50]
|
||||
Processing libras nodes= 52.40 leaves= 18.40 depth= 8.60 accuracy=[0.634±0.061] time=[0.572±0.088] elements=[50 50]
|
||||
Processing low-res-spect nodes= 31.00 leaves= 10.20 depth= 8.00 accuracy=[0.833±0.036] time=[1.115±0.206] elements=[50 50]
|
||||
Processing lymphography nodes= 8.60 leaves= 3.40 depth= 4.40 accuracy=[0.730±0.092] time=[0.057±0.010] elements=[50 50]
|
||||
Processing mammographic nodes= 89.20 leaves= 23.00 depth=14.20 accuracy=[0.773±0.041] time=[0.359±0.028] elements=[50 50]
|
||||
Processing molec-biol-promoter nodes= 9.80 leaves= 3.40 depth= 4.80 accuracy=[0.735±0.079] time=[0.003±0.000] elements=[50 50]
|
||||
Processing musk-1 nodes= 29.20 leaves= 9.80 depth=11.20 accuracy=[0.769±0.046] time=[0.689±0.062] elements=[50 50]
|
||||
Processing oocytes_merluccius_nucleus_4d nodes= 82.00 leaves= 26.00 depth=12.60 accuracy=[0.725±0.031] time=[1.274±0.170] elements=[50 50]
|
||||
Processing oocytes_merluccius_states_2f nodes= 32.60 leaves= 10.60 depth= 7.80 accuracy=[0.885±0.023] time=[1.085±0.144] elements=[50 50]
|
||||
Processing oocytes_trisopterus_nucleus_2f nodes= 70.20 leaves= 22.40 depth=12.40 accuracy=[0.722±0.034] time=[0.777±0.075] elements=[50 50]
|
||||
Processing oocytes_trisopterus_states_5b nodes= 44.00 leaves= 14.80 depth=12.20 accuracy=[0.867±0.027] time=[1.146±0.145] elements=[50 50]
|
||||
Processing parkinsons nodes= 8.80 leaves= 3.40 depth= 5.60 accuracy=[0.847±0.058] time=[0.090±0.022] elements=[50 50]
|
||||
Processing pima nodes= 60.60 leaves= 20.00 depth= 9.20 accuracy=[0.693±0.036] time=[0.420±0.047] elements=[50 50]
|
||||
Processing pittsburg-bridges-MATERIAL nodes= 6.60 leaves= 2.60 depth= 3.80 accuracy=[0.804±0.097] time=[0.019±0.004] elements=[50 50]
|
||||
Processing pittsburg-bridges-REL-L nodes= 13.80 leaves= 4.20 depth= 6.60 accuracy=[0.629±0.110] time=[0.024±0.003] elements=[50 50]
|
||||
Processing pittsburg-bridges-SPAN nodes= 12.00 leaves= 4.00 depth= 5.80 accuracy=[0.595±0.116] time=[0.020±0.003] elements=[50 50]
|
||||
Processing pittsburg-bridges-T-OR-D nodes= 7.60 leaves= 2.00 depth= 5.40 accuracy=[0.818±0.076] time=[0.015±0.004] elements=[50 50]
|
||||
Processing planning nodes= 20.40 leaves= 6.20 depth= 8.60 accuracy=[0.569±0.094] time=[0.066±0.015] elements=[50 50]
|
||||
Processing post-operative nodes= 15.60 leaves= 4.20 depth= 7.20 accuracy=[0.567±0.118] time=[0.020±0.005] elements=[50 50]
|
||||
Processing seeds nodes= 5.40 leaves= 2.20 depth= 4.00 accuracy=[0.927±0.037] time=[0.038±0.004] elements=[50 50]
|
||||
Processing statlog-australian-credit nodes= 72.20 leaves= 20.60 depth=13.40 accuracy=[0.588±0.054] time=[0.574±0.096] elements=[50 50]
|
||||
Processing statlog-german-credit nodes= 94.60 leaves= 27.80 depth=19.00 accuracy=[0.688±0.032] time=[1.530±0.352] elements=[50 50]
|
||||
Processing statlog-heart nodes= 16.40 leaves= 5.40 depth= 7.00 accuracy=[0.734±0.061] time=[0.125±0.021] elements=[50 50]
|
||||
Processing statlog-image nodes= 51.00 leaves= 16.00 depth=12.20 accuracy=[0.957±0.010] time=[2.904±0.137] elements=[50 50]
|
||||
Processing statlog-vehicle nodes= 88.80 leaves= 27.60 depth=13.00 accuracy=[0.686±0.039] time=[0.881±0.070] elements=[50 50]
|
||||
Processing synthetic-control nodes= 21.60 leaves= 7.60 depth= 7.20 accuracy=[0.871±0.034] time=[1.405±0.106] elements=[50 50]
|
||||
Processing tic-tac-toe nodes= 17.80 leaves= 5.20 depth= 8.20 accuracy=[0.932±0.026] time=[0.472±0.087] elements=[50 50]
|
||||
Processing vertebral-column-2clases nodes= 17.80 leaves= 5.20 depth= 7.00 accuracy=[0.805±0.054] time=[0.067±0.006] elements=[50 50]
|
||||
Processing wine nodes= 4.00 leaves= 1.60 depth= 3.20 accuracy=[0.905±0.055] time=[0.041±0.005] elements=[50 50]
|
||||
Processing zoo nodes= 6.60 leaves= 3.00 depth= 4.00 accuracy=[0.882±0.081] time=[0.019±0.002] elements=[50 50]
|
||||
|
Reference in New Issue
Block a user