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Add variable selection tests results

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Ricardo Montañana Gómez
2021-07-14 18:04:05 +02:00
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* Process all datasets set with stree_default: tanveer norm: False std: False discretize: False store in: stree_default
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
============================== ===== === === ======= ======= ======= =============== =============== ============================================
balance-scale 625 4 3 23.32 12.16 6.44 0.840160±0.0304 0.061757±0.0101 {"max_features": "sqrt", "splitter": "best"}
balloons 16 4 2 5.04 3.02 2.86 0.703333±0.3279✔0.005872±0.0014 {"max_features": "sqrt", "splitter": "best"}
breast-cancer-wisc-diag 569 30 2 5.64 3.32 3.26 0.952206±0.0179 0.015298±0.0021 {"max_features": "sqrt", "splitter": "best"}
breast-cancer-wisc-prog 198 33 2 3.36 2.18 2.08 0.760692±0.0679 0.007594±0.0036 {"max_features": "sqrt", "splitter": "best"}
breast-cancer-wisc 699 9 2 8.40 4.70 4.16 0.956074±0.0150 0.018948±0.0032 {"max_features": "sqrt", "splitter": "best"}
breast-cancer 286 9 2 12.64 6.82 4.96 0.722396±0.0477 0.021044±0.0058 {"max_features": "sqrt", "splitter": "best"}
cardiotocography-10clases 2126 21 10 78.96 39.98 10.00 0.777987±0.0284 0.453768±0.0424 {"max_features": "sqrt", "splitter": "best"}
cardiotocography-3clases 2126 21 3 35.60 18.30 7.18 0.888946±0.0132 0.206571±0.0161 {"max_features": "sqrt", "splitter": "best"}
conn-bench-sonar-mines-rocks 208 60 2 20.96 10.98 5.76 0.788467±0.0531✔0.030019±0.0050 {"max_features": "sqrt", "splitter": "best"}
cylinder-bands 512 35 2 13.12 7.06 4.98 0.670706±0.0440 0.038204±0.0162 {"max_features": "sqrt", "splitter": "best"}
dermatology 366 34 6 16.48 8.74 6.58 0.942488±0.0633 0.035710±0.0058 {"max_features": "sqrt", "splitter": "best"}
echocardiogram 131 10 2 3.04 2.02 2.02 0.855157±0.0627★0.005411±0.0003 {"max_features": "sqrt", "splitter": "best"}
fertility 100 9 2 1.00 1.00 1.00 0.880000±0.0548✔0.002806±0.0001 {"max_features": "sqrt", "splitter": "best"}
haberman-survival 306 3 2 4.88 2.94 2.42 0.726838±0.0467 0.011462±0.0070 {"max_features": "sqrt", "splitter": "best"}
heart-hungarian 294 12 2 9.76 5.38 4.18 0.803063±0.0507 0.018199±0.0074 {"max_features": "sqrt", "splitter": "best"}
hepatitis 155 19 2 7.16 4.08 3.78 0.796774±0.0707✔0.011034±0.0028 {"max_features": "sqrt", "splitter": "best"}
ilpd-indian-liver 583 9 2 1.00 1.00 1.00 0.713566±0.0380 0.009467±0.0005 {"max_features": "sqrt", "splitter": "best"}
ionosphere 351 33 2 8.40 4.70 3.98 0.885171±0.0380✔0.019862±0.0052 {"max_features": "sqrt", "splitter": "best"}
iris 150 4 3 5.00 3.00 3.00 0.955333±0.0295 0.009553±0.0005 {"max_features": "sqrt", "splitter": "best"}
led-display 1000 7 10 42.04 21.52 7.56 0.698400±0.0279 0.223497±0.0188 {"max_features": "sqrt", "splitter": "best"}
libras 360 90 15 110.64 55.82 13.18 0.628889±0.0689 0.282618±0.0300 {"max_features": "sqrt", "splitter": "best"}
low-res-spect 531 100 9 21.96 11.48 6.26 0.675105±0.1328 0.082683±0.0332 {"max_features": "sqrt", "splitter": "best"}
lymphography 148 18 4 8.92 4.96 4.12 0.695402±0.0960 0.016269±0.0079 {"max_features": "sqrt", "splitter": "best"}
mammographic 961 5 2 7.80 4.40 3.86 0.800316±0.0287 0.040685±0.0097 {"max_features": "sqrt", "splitter": "best"}
molec-biol-promoter 106 57 2 9.88 5.44 3.82 0.795238±0.0885★0.011032±0.0022 {"max_features": "sqrt", "splitter": "best"}
musk-1 476 166 2 17.20 9.10 6.36 0.803550±0.0400 0.054166±0.0146 {"max_features": "sqrt", "splitter": "best"}
oocytes_merluccius_nucleus_4d 1022 41 2 2.52 1.76 1.64 0.670453±0.0246 0.058849±0.0372 {"max_features": "sqrt", "splitter": "best"}
oocytes_merluccius_states_2f 1022 25 3 12.04 6.52 4.58 0.905669±0.0181 0.064227±0.0088 {"max_features": "sqrt", "splitter": "best"}
oocytes_trisopterus_nucleus_2f 912 25 2 9.16 5.08 3.76 0.632794±0.0745 0.063707±0.0250 {"max_features": "sqrt", "splitter": "best"}
oocytes_trisopterus_states_5b 912 32 3 11.88 6.44 4.68 0.832891±0.0341 0.079999±0.0122 {"max_features": "sqrt", "splitter": "best"}
parkinsons 195 22 2 6.84 3.92 3.74 0.858974±0.0506 0.011659±0.0017 {"max_features": "sqrt", "splitter": "best"}
pima 768 8 2 3.04 2.02 2.02 0.757917±0.0270 0.025315±0.0009 {"max_features": "sqrt", "splitter": "best"}
pittsburg-bridges-MATERIAL 106 7 3 4.76 2.88 2.84 0.851645±0.0780✔0.009979±0.0030 {"max_features": "sqrt", "splitter": "best"}
pittsburg-bridges-REL-L 103 7 3 9.24 5.12 4.18 0.675143±0.1020★0.017748±0.0051 {"max_features": "sqrt", "splitter": "best"}
pittsburg-bridges-SPAN 92 7 3 11.12 6.06 4.70 0.585731±0.1085 0.020438±0.0059 {"max_features": "sqrt", "splitter": "best"}
pittsburg-bridges-T-OR-D 102 7 2 1.04 1.02 1.02 0.861857±0.0763★0.002902±0.0006 {"max_features": "sqrt", "splitter": "best"}
planning 182 12 2 1.00 1.00 1.00 0.714369±0.0715✔0.003860±0.0013 {"max_features": "sqrt", "splitter": "best"}
post-operative 90 8 3 3.88 2.44 2.32 0.701111±0.0831✔0.006532±0.0030 {"max_features": "sqrt", "splitter": "best"}
seeds 210 7 3 9.64 5.32 4.42 0.900952±0.0500 0.019858±0.0033 {"max_features": "sqrt", "splitter": "best"}
statlog-australian-credit 690 14 2 1.00 1.00 1.00 0.678261±0.0390✔0.013089±0.0006 {"max_features": "sqrt", "splitter": "best"}
statlog-german-credit 1000 24 2 13.16 7.08 5.44 0.738100±0.0301 0.059869±0.0056 {"max_features": "sqrt", "splitter": "best"}
statlog-heart 270 13 2 8.72 4.86 4.20 0.784444±0.0474 0.017029±0.0050 {"max_features": "sqrt", "splitter": "best"}
statlog-image 2310 18 7 31.24 16.12 8.58 0.902035±0.0306 0.283431±0.0240 {"max_features": "sqrt", "splitter": "best"}
statlog-vehicle 846 18 4 44.20 22.60 8.56 0.653796±0.0398 0.144044±0.0179 {"max_features": "sqrt", "splitter": "best"}
synthetic-control 600 60 6 27.44 14.22 7.04 0.946667±0.0252✔0.059179±0.0063 {"max_features": "sqrt", "splitter": "best"}
tic-tac-toe 958 9 2 17.08 9.04 6.16 0.771699±0.0365 0.060307±0.0094 {"max_features": "sqrt", "splitter": "best"}
vertebral-column-2clases 310 6 2 7.00 4.00 3.70 0.830645±0.0418 0.017122±0.0039 {"max_features": "sqrt", "splitter": "best"}
wine 178 13 3 10.00 5.50 3.98 0.947778±0.0335 0.013517±0.0026 {"max_features": "sqrt", "splitter": "best"}
zoo 101 16 7 18.92 9.96 7.40 0.927714±0.0655 0.030295±0.0027 {"max_features": "sqrt", "splitter": "best"}
✔ .....: 9
✔ .....: 1
★ .....: 4
** Accuracy compared to stree_default (liblinear-ovr) .: 0.9644
Time: 0h 2m 33s

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* Process all datasets set with stree_default: tanveer norm: False std: False discretize: False store in: stree_default
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
============================== ===== === === ======= ======= ======= =============== =============== ===========================================
balance-scale 625 4 3 0.00 0.00 0.00 nan± nan 0.000551±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
balloons 16 4 2 0.00 0.00 0.00 nan± nan 0.000502±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
breast-cancer-wisc-diag 569 30 2 0.00 0.00 0.00 nan± nan 0.000567±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
breast-cancer-wisc-prog 198 33 2 0.00 0.00 0.00 nan± nan 0.000530±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
breast-cancer-wisc 699 9 2 0.00 0.00 0.00 nan± nan 0.000551±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
breast-cancer 286 9 2 0.00 0.00 0.00 nan± nan 0.000523±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
cardiotocography-10clases 2126 21 10 0.00 0.00 0.00 nan± nan 0.000690±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
cardiotocography-3clases 2126 21 3 0.00 0.00 0.00 nan± nan 0.000662±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
conn-bench-sonar-mines-rocks 208 60 2 0.00 0.00 0.00 nan± nan 0.000527±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
cylinder-bands 512 35 2 0.00 0.00 0.00 nan± nan 0.000569±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
dermatology 366 34 6 0.00 0.00 0.00 nan± nan 0.000547±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
echocardiogram 131 10 2 0.00 0.00 0.00 nan± nan 0.000509±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
fertility 100 9 2 0.00 0.00 0.00 nan± nan 0.000503±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
haberman-survival 306 3 2 0.00 0.00 0.00 nan± nan 0.000511±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
heart-hungarian 294 12 2 0.00 0.00 0.00 nan± nan 0.000521±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
hepatitis 155 19 2 0.00 0.00 0.00 nan± nan 0.000515±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
ilpd-indian-liver 583 9 2 0.00 0.00 0.00 nan± nan 0.000535±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
ionosphere 351 33 2 0.00 0.00 0.00 nan± nan 0.000535±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
iris 150 4 3 0.00 0.00 0.00 nan± nan 0.000497±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
led-display 1000 7 10 0.00 0.00 0.00 nan± nan 0.000582±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
libras 360 90 15 0.00 0.00 0.00 nan± nan 0.000575±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
low-res-spect 531 100 9 0.00 0.00 0.00 nan± nan 0.000613±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
lymphography 148 18 4 0.00 0.00 0.00 nan± nan 0.000504±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
mammographic 961 5 2 0.00 0.00 0.00 nan± nan 0.000553±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
molec-biol-promoter 106 57 2 0.00 0.00 0.00 nan± nan 0.000506±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
musk-1 476 166 2 0.00 0.00 0.00 nan± nan 0.000634±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
oocytes_merluccius_nucleus_4d 1022 41 2 0.00 0.00 0.00 nan± nan 0.000616±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
oocytes_merluccius_states_2f 1022 25 3 0.00 0.00 0.00 nan± nan 0.000595±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
oocytes_trisopterus_nucleus_2f 912 25 2 0.00 0.00 0.00 nan± nan 0.000584±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
oocytes_trisopterus_states_5b 912 32 3 0.00 0.00 0.00 nan± nan 0.000593±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
parkinsons 195 22 2 0.00 0.00 0.00 nan± nan 0.000516±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
pima 768 8 2 0.00 0.00 0.00 nan± nan 0.000549±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
pittsburg-bridges-MATERIAL 106 7 3 0.00 0.00 0.00 nan± nan 0.000496±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
pittsburg-bridges-REL-L 103 7 3 0.00 0.00 0.00 nan± nan 0.000504±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
pittsburg-bridges-SPAN 92 7 3 0.00 0.00 0.00 nan± nan 0.000503±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
pittsburg-bridges-T-OR-D 102 7 2 0.00 0.00 0.00 nan± nan 0.000496±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
planning 182 12 2 0.00 0.00 0.00 nan± nan 0.000504±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
post-operative 90 8 3 0.00 0.00 0.00 nan± nan 0.000501±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
seeds 210 7 3 0.00 0.00 0.00 nan± nan 0.000504±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
statlog-australian-credit 690 14 2 0.00 0.00 0.00 nan± nan 0.000552±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
statlog-german-credit 1000 24 2 0.00 0.00 0.00 nan± nan 0.000587±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
statlog-heart 270 13 2 0.00 0.00 0.00 nan± nan 0.000510±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
statlog-image 2310 18 7 0.00 0.00 0.00 nan± nan 0.000705±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
statlog-vehicle 846 18 4 0.00 0.00 0.00 nan± nan 0.000579±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
synthetic-control 600 60 6 0.00 0.00 0.00 nan± nan 0.000587±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
tic-tac-toe 958 9 2 0.00 0.00 0.00 nan± nan 0.000551±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
vertebral-column-2clases 310 6 2 0.00 0.00 0.00 nan± nan 0.000511±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
wine 178 13 3 0.00 0.00 0.00 nan± nan 0.000503±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
zoo 101 16 7 0.00 0.00 0.00 nan± nan 0.000501±0.0000 {"max_features": "sqrt", "splitter": "cfs"}
** Accuracy compared to stree_default (liblinear-ovr) .: nan
Time: 0h 0m 4s

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* Process all datasets set with stree_default: tanveer norm: False std: False discretize: False store in: stree_default
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
============================== ===== === === ======= ======= ======= =============== =============== ============================================
balance-scale 625 4 3 0.00 0.00 0.00 nan± nan 0.000570±0.0001 {"max_features": "sqrt", "splitter": "fcbf"}
balloons 16 4 2 0.00 0.00 0.00 nan± nan 0.000503±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
breast-cancer-wisc-diag 569 30 2 0.00 0.00 0.00 nan± nan 0.000569±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
breast-cancer-wisc-prog 198 33 2 0.00 0.00 0.00 nan± nan 0.000528±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
breast-cancer-wisc 699 9 2 0.00 0.00 0.00 nan± nan 0.000556±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
breast-cancer 286 9 2 0.00 0.00 0.00 nan± nan 0.000527±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
cardiotocography-10clases 2126 21 10 0.00 0.00 0.00 nan± nan 0.000695±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
cardiotocography-3clases 2126 21 3 0.00 0.00 0.00 nan± nan 0.000667±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
conn-bench-sonar-mines-rocks 208 60 2 0.00 0.00 0.00 nan± nan 0.000539±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
cylinder-bands 512 35 2 0.00 0.00 0.00 nan± nan 0.000575±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
dermatology 366 34 6 0.00 0.00 0.00 nan± nan 0.000552±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
echocardiogram 131 10 2 0.00 0.00 0.00 nan± nan 0.000506±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
fertility 100 9 2 0.00 0.00 0.00 nan± nan 0.000502±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
haberman-survival 306 3 2 0.00 0.00 0.00 nan± nan 0.000526±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
heart-hungarian 294 12 2 0.00 0.00 0.00 nan± nan 0.000523±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
hepatitis 155 19 2 0.00 0.00 0.00 nan± nan 0.000511±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
ilpd-indian-liver 583 9 2 0.00 0.00 0.00 nan± nan 0.000542±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
ionosphere 351 33 2 0.00 0.00 0.00 nan± nan 0.000544±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
iris 150 4 3 0.00 0.00 0.00 nan± nan 0.000512±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
led-display 1000 7 10 0.00 0.00 0.00 nan± nan 0.000593±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
libras 360 90 15 0.00 0.00 0.00 nan± nan 0.000579±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
low-res-spect 531 100 9 0.00 0.00 0.00 nan± nan 0.000619±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
lymphography 148 18 4 0.00 0.00 0.00 nan± nan 0.000510±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
mammographic 961 5 2 0.00 0.00 0.00 nan± nan 0.000559±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
molec-biol-promoter 106 57 2 0.00 0.00 0.00 nan± nan 0.000512±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
musk-1 476 166 2 0.00 0.00 0.00 nan± nan 0.000641±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
oocytes_merluccius_nucleus_4d 1022 41 2 0.00 0.00 0.00 nan± nan 0.000621±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
oocytes_merluccius_states_2f 1022 25 3 0.00 0.00 0.00 nan± nan 0.000596±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
oocytes_trisopterus_nucleus_2f 912 25 2 0.00 0.00 0.00 nan± nan 0.000589±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
oocytes_trisopterus_states_5b 912 32 3 0.00 0.00 0.00 nan± nan 0.000599±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
parkinsons 195 22 2 0.00 0.00 0.00 nan± nan 0.000516±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
pima 768 8 2 0.00 0.00 0.00 nan± nan 0.000550±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
pittsburg-bridges-MATERIAL 106 7 3 0.00 0.00 0.00 nan± nan 0.000501±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
pittsburg-bridges-REL-L 103 7 3 0.00 0.00 0.00 nan± nan 0.000501±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
pittsburg-bridges-SPAN 92 7 3 0.00 0.00 0.00 nan± nan 0.000500±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
pittsburg-bridges-T-OR-D 102 7 2 0.00 0.00 0.00 nan± nan 0.000503±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
planning 182 12 2 0.00 0.00 0.00 nan± nan 0.000510±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
post-operative 90 8 3 0.00 0.00 0.00 nan± nan 0.000502±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
seeds 210 7 3 0.00 0.00 0.00 nan± nan 0.000508±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
statlog-australian-credit 690 14 2 0.00 0.00 0.00 nan± nan 0.000553±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
statlog-german-credit 1000 24 2 0.00 0.00 0.00 nan± nan 0.000592±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
statlog-heart 270 13 2 0.00 0.00 0.00 nan± nan 0.000517±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
statlog-image 2310 18 7 0.00 0.00 0.00 nan± nan 0.000708±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
statlog-vehicle 846 18 4 0.00 0.00 0.00 nan± nan 0.000579±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
synthetic-control 600 60 6 0.00 0.00 0.00 nan± nan 0.000597±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
tic-tac-toe 958 9 2 0.00 0.00 0.00 nan± nan 0.000563±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
vertebral-column-2clases 310 6 2 0.00 0.00 0.00 nan± nan 0.000515±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
wine 178 13 3 0.00 0.00 0.00 nan± nan 0.000509±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
zoo 101 16 7 0.00 0.00 0.00 nan± nan 0.000505±0.0000 {"max_features": "sqrt", "splitter": "fcbf"}
** Accuracy compared to stree_default (liblinear-ovr) .: nan
Time: 0h 0m 4s

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* Process all datasets set with stree_default: tanveer norm: False std: False discretize: False store in: stree_default
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
============================== ===== === === ======= ======= ======= =============== =============== ==============================================
balance-scale 625 4 3 18.78 9.88 5.90 nan± nan 0.245543±0.0464 {"max_features": "sqrt", "splitter": "mutual"}
balloons 16 4 2 4.72 2.86 2.78 0.556667±0.2941 0.023308±0.0061 {"max_features": "sqrt", "splitter": "mutual"}
breast-cancer-wisc-diag 569 30 2 6.34 3.66 3.50 nan± nan 0.430762±0.0802 {"max_features": "sqrt", "splitter": "mutual"}
breast-cancer-wisc-prog 198 33 2 1.72 1.36 1.36 0.762179±0.0671 0.120269±0.0658 {"max_features": "sqrt", "splitter": "mutual"}
breast-cancer-wisc 699 9 2 5.80 3.40 3.36 0.959225±0.0146 0.160973±0.0173 {"max_features": "sqrt", "splitter": "mutual"}
breast-cancer 286 9 2 6.16 3.56 3.42 nan± nan 0.120529±0.0675 {"max_features": "sqrt", "splitter": "mutual"}
cardiotocography-10clases 2126 21 10 41.52 21.14 8.80 nan± nan 4.291784±0.9832 {"max_features": "sqrt", "splitter": "mutual"}
cardiotocography-3clases 2126 21 3 20.88 10.90 6.00 nan± nan 1.753567±0.2998 {"max_features": "sqrt", "splitter": "mutual"}
conn-bench-sonar-mines-rocks 208 60 2 13.18 7.08 4.66 nan± nan 1.100981±0.3311 {"max_features": "sqrt", "splitter": "mutual"}
cylinder-bands 512 35 2 4.52 2.76 2.68 0.663857±0.0371 0.371488±0.1522 {"max_features": "sqrt", "splitter": "mutual"}
dermatology 366 34 6 18.40 9.70 6.74 0.958734±0.0242 1.247523±0.1460 {"max_features": "sqrt", "splitter": "mutual"}
echocardiogram 131 10 2 3.04 2.02 2.02 0.855157±0.0627★0.054331±0.0037 {"max_features": "sqrt", "splitter": "mutual"}
fertility 100 9 2 1.00 1.00 1.00 0.880000±0.0548✔0.023958±0.0005 {"max_features": "sqrt", "splitter": "mutual"}
haberman-survival 306 3 2 1.92 1.36 1.84 nan± nan 0.022712±0.0142 {"max_features": "sqrt", "splitter": "mutual"}
heart-hungarian 294 12 2 6.36 3.68 3.40 0.803746±0.0485 0.169912±0.0485 {"max_features": "sqrt", "splitter": "mutual"}
hepatitis 155 19 2 4.26 2.62 2.38 nan± nan 0.142915±0.1004 {"max_features": "sqrt", "splitter": "mutual"}
ilpd-indian-liver 583 9 2 1.00 1.00 1.00 0.713566±0.0380 0.043649±0.0004 {"max_features": "sqrt", "splitter": "mutual"}
ionosphere 351 33 2 6.62 3.80 3.68 nan± nan 0.466448±0.1268 {"max_features": "sqrt", "splitter": "mutual"}
iris 150 4 3 5.00 3.00 3.00 0.955333±0.0295 0.049107±0.0024 {"max_features": "sqrt", "splitter": "mutual"}
led-display 1000 7 10 24.68 12.82 6.04 nan± nan 1.044809±0.1280 {"max_features": "sqrt", "splitter": "mutual"}
libras 360 90 15 15.94 8.06 9.98 nan± nan 8.281104±4.6799 {"max_features": "sqrt", "splitter": "mutual"}
low-res-spect 531 100 9 21.02 10.82 7.50 nan± nan 6.024114±1.7144 {"max_features": "sqrt", "splitter": "mutual"}
lymphography 148 18 4 4.24 2.62 2.42 0.643057±0.1162 0.167933±0.1090 {"max_features": "sqrt", "splitter": "mutual"}
mammographic 961 5 2 3.08 2.04 2.04 0.817276±0.0223 0.089525±0.0079 {"max_features": "sqrt", "splitter": "mutual"}
molec-biol-promoter 106 57 2 11.18 6.08 4.20 nan± nan 0.644044±0.1524 {"max_features": "sqrt", "splitter": "mutual"}
musk-1 476 166 2 15.04 8.02 5.06 0.739748±0.0490 4.129289±1.4282 {"max_features": "sqrt", "splitter": "mutual"}
oocytes_merluccius_nucleus_4d 1022 41 2 1.80 1.40 1.40 0.674751±0.0281 0.364508±0.1623 {"max_features": "sqrt", "splitter": "mutual"}
oocytes_merluccius_states_2f 1022 25 3 10.92 5.92 4.60 nan± nan 0.913619±0.1786 {"max_features": "sqrt", "splitter": "mutual"}
oocytes_trisopterus_nucleus_2f 912 25 2 9.78 5.36 4.58 nan± nan 0.707618±0.2738 {"max_features": "sqrt", "splitter": "mutual"}
oocytes_trisopterus_states_5b 912 32 3 6.88 3.92 3.96 nan± nan 0.721912±0.1359 {"max_features": "sqrt", "splitter": "mutual"}
parkinsons 195 22 2 6.04 3.52 3.40 0.865641±0.0472 0.213518±0.0403 {"max_features": "sqrt", "splitter": "mutual"}
pima 768 8 2 3.36 2.18 2.18 0.755570±0.0261 0.117394±0.0156 {"max_features": "sqrt", "splitter": "mutual"}
pittsburg-bridges-MATERIAL 106 7 3 4.40 2.66 2.86 nan± nan 0.074110±0.0169 {"max_features": "sqrt", "splitter": "mutual"}
pittsburg-bridges-REL-L 103 7 3 6.12 3.54 3.32 nan± nan 0.109457±0.0349 {"max_features": "sqrt", "splitter": "mutual"}
pittsburg-bridges-SPAN 92 7 3 8.14 4.54 3.94 nan± nan 0.135560±0.0421 {"max_features": "sqrt", "splitter": "mutual"}
pittsburg-bridges-T-OR-D 102 7 2 1.00 1.00 1.00 0.862810±0.0748★0.019329±0.0001 {"max_features": "sqrt", "splitter": "mutual"}
planning 182 12 2 1.00 1.00 1.00 0.714369±0.0715✔0.034710±0.0002 {"max_features": "sqrt", "splitter": "mutual"}
post-operative 90 8 3 1.24 1.10 1.20 nan± nan 0.027981±0.0089 {"max_features": "sqrt", "splitter": "mutual"}
seeds 210 7 3 8.16 4.58 4.12 0.889524±0.0525 0.141828±0.0168 {"max_features": "sqrt", "splitter": "mutual"}
statlog-australian-credit 690 14 2 1.00 1.00 1.00 0.678261±0.0390✔0.071697±0.0003 {"max_features": "sqrt", "splitter": "mutual"}
statlog-german-credit 1000 24 2 3.76 2.38 2.30 0.711400±0.0328 0.342081±0.1674 {"max_features": "sqrt", "splitter": "mutual"}
statlog-heart 270 13 2 5.72 3.36 3.18 0.777037±0.0473 0.166096±0.0521 {"max_features": "sqrt", "splitter": "mutual"}
statlog-image 2310 18 7 33.72 17.26 8.90 nan± nan 2.417959±0.5281 {"max_features": "sqrt", "splitter": "mutual"}
statlog-vehicle 846 18 4 29.76 15.30 7.76 nan± nan 1.547166±0.3663 {"max_features": "sqrt", "splitter": "mutual"}
synthetic-control 600 60 6 23.36 12.18 5.90 0.949500±0.0215✔2.589102±0.3268 {"max_features": "sqrt", "splitter": "mutual"}
tic-tac-toe 958 9 2 13.50 7.24 5.18 nan± nan 0.299595±0.1276 {"max_features": "sqrt", "splitter": "mutual"}
vertebral-column-2clases 310 6 2 6.52 3.76 3.64 0.825484±0.0490 0.101406±0.0218 {"max_features": "sqrt", "splitter": "mutual"}
wine 178 13 3 7.02 4.00 3.34 nan± nan 0.172953±0.0325 {"max_features": "sqrt", "splitter": "mutual"}
zoo 101 16 7 11.52 6.20 6.42 nan± nan 0.392957±0.0539 {"max_features": "sqrt", "splitter": "mutual"}
★ .....: 2
✔ .....: 4
** Accuracy compared to stree_default (liblinear-ovr) .: nan
Time: 0h 35m 59s

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* Process all datasets set with stree_default: tanveer norm: False std: False discretize: False store in: stree_default
5 Fold Cross Validation with 10 random seeds [57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
Dataset Samp Var Cls Nodes Leaves Depth Accuracy Time Parameters
============================== ===== === === ======= ======= ======= =============== =============== ==============================================
balance-scale 625 4 3 29.36 15.18 7.04 0.844640±0.0351 0.283752±0.0438 {"max_features": "sqrt", "splitter": "random"}
balloons 16 4 2 5.52 3.26 3.14 0.783333±0.2713✔0.017087±0.0040 {"max_features": "sqrt", "splitter": "random"}
breast-cancer-wisc-diag 569 30 2 6.52 3.76 3.36 0.950615±0.0168 0.081352±0.0177 {"max_features": "sqrt", "splitter": "random"}
breast-cancer-wisc-prog 198 33 2 1.36 1.18 1.18 0.763192±0.0688 0.018581±0.0068 {"max_features": "sqrt", "splitter": "random"}
breast-cancer-wisc 699 9 2 7.00 4.00 3.84 0.959943±0.0179 0.067725±0.0109 {"max_features": "sqrt", "splitter": "random"}
breast-cancer 286 9 2 13.44 7.22 5.02 0.713993±0.0495 0.083012±0.0286 {"max_features": "sqrt", "splitter": "random"}
cardiotocography-10clases 2126 21 10 223.08 112.04 23.42 0.790733±0.0238 4.798963±0.5954 {"max_features": "sqrt", "splitter": "random"}
cardiotocography-3clases 2126 21 3 48.80 24.90 8.90 0.883256±0.0205 1.398482±0.1452 {"max_features": "sqrt", "splitter": "random"}
conn-bench-sonar-mines-rocks 208 60 2 15.64 8.32 5.34 0.756585±0.0599✔0.096016±0.0238 {"max_features": "sqrt", "splitter": "random"}
cylinder-bands 512 35 2 8.84 4.92 4.08 0.665820±0.0348 0.164517±0.0575 {"max_features": "sqrt", "splitter": "random"}
dermatology 366 34 6 27.84 14.42 8.72 0.949700±0.0328 0.198137±0.0383 {"max_features": "sqrt", "splitter": "random"}
echocardiogram 131 10 2 4.20 2.60 2.38 0.848974±0.0670★0.024877±0.0110 {"max_features": "sqrt", "splitter": "random"}
fertility 100 9 2 1.00 1.00 1.00 0.880000±0.0548✔0.008331±0.0001 {"max_features": "sqrt", "splitter": "random"}
haberman-survival 306 3 2 4.68 2.84 2.38 0.726182±0.0470 0.029299±0.0174 {"max_features": "sqrt", "splitter": "random"}
heart-hungarian 294 12 2 11.20 6.10 4.84 0.793513±0.0609 0.077565±0.0216 {"max_features": "sqrt", "splitter": "random"}
hepatitis 155 19 2 7.56 4.28 3.84 0.804516±0.0740✔0.039986±0.0123 {"max_features": "sqrt", "splitter": "random"}
ilpd-indian-liver 583 9 2 1.00 1.00 1.00 0.713566±0.0380 0.048782±0.0020 {"max_features": "sqrt", "splitter": "random"}
ionosphere 351 33 2 10.44 5.72 5.34 0.887710±0.0329✔0.117961±0.0189 {"max_features": "sqrt", "splitter": "random"}
iris 150 4 3 5.80 3.40 3.40 0.935333±0.0408 0.036107±0.0055 {"max_features": "sqrt", "splitter": "random"}
led-display 1000 7 10 50.32 25.66 7.88 0.688600±0.0354 1.089673±0.0633 {"max_features": "sqrt", "splitter": "random"}
libras 360 90 15 110.00 55.50 12.90 0.725833±0.0582 1.085350±0.1301 {"max_features": "sqrt", "splitter": "random"}
low-res-spect 531 100 9 41.12 21.06 8.28 0.878536±0.0342✔0.438121±0.0729 {"max_features": "sqrt", "splitter": "random"}
lymphography 148 18 4 14.04 7.52 5.30 0.727586±0.1003 0.080443±0.0271 {"max_features": "sqrt", "splitter": "random"}
mammographic 961 5 2 3.12 2.06 2.06 0.816548±0.0238 0.152376±0.0103 {"max_features": "sqrt", "splitter": "random"}
molec-biol-promoter 106 57 2 14.68 7.84 4.98 0.757446±0.0967 0.059720±0.0105 {"max_features": "sqrt", "splitter": "random"}
musk-1 476 166 2 20.00 10.50 6.30 0.769346±0.0490 0.280010±0.0476 {"max_features": "sqrt", "splitter": "random"}
oocytes_merluccius_nucleus_4d 1022 41 2 5.44 3.22 3.00 0.726894±0.0481 0.395054±0.1404 {"max_features": "sqrt", "splitter": "random"}
oocytes_merluccius_states_2f 1022 25 3 19.36 10.18 6.18 0.897167±0.0194 0.394725±0.0713 {"max_features": "sqrt", "splitter": "random"}
oocytes_trisopterus_nucleus_2f 912 25 2 8.40 4.70 3.72 0.719183±0.0385 0.329749±0.0639 {"max_features": "sqrt", "splitter": "random"}
oocytes_trisopterus_states_5b 912 32 3 21.56 11.28 7.36 0.861297±0.0279 0.418273±0.0827 {"max_features": "sqrt", "splitter": "random"}
parkinsons 195 22 2 5.32 3.16 3.08 0.863077±0.0507 0.039076±0.0078 {"max_features": "sqrt", "splitter": "random"}
pima 768 8 2 3.12 2.06 2.06 0.741515±0.0393 0.140708±0.0207 {"max_features": "sqrt", "splitter": "random"}
pittsburg-bridges-MATERIAL 106 7 3 9.44 5.22 4.36 0.824242±0.0841✔0.051952±0.0185 {"max_features": "sqrt", "splitter": "random"}
pittsburg-bridges-REL-L 103 7 3 17.36 9.18 5.80 0.661429±0.0977★0.095703±0.0253 {"max_features": "sqrt", "splitter": "random"}
pittsburg-bridges-SPAN 92 7 3 13.92 7.46 5.42 0.618655±0.0909 0.081279±0.0188 {"max_features": "sqrt", "splitter": "random"}
pittsburg-bridges-T-OR-D 102 7 2 1.08 1.04 1.04 0.862810±0.0748★0.008515±0.0020 {"max_features": "sqrt", "splitter": "random"}
planning 182 12 2 1.00 1.00 1.00 0.714369±0.0715✔0.012902±0.0005 {"max_features": "sqrt", "splitter": "random"}
post-operative 90 8 3 3.08 2.04 1.92 0.702222±0.0807✔0.018055±0.0107 {"max_features": "sqrt", "splitter": "random"}
seeds 210 7 3 8.40 4.70 4.40 0.923810±0.0410 0.057388±0.0139 {"max_features": "sqrt", "splitter": "random"}
statlog-australian-credit 690 14 2 1.00 1.00 1.00 0.678261±0.0390✔0.068765±0.0018 {"max_features": "sqrt", "splitter": "random"}
statlog-german-credit 1000 24 2 2.68 1.84 1.58 0.701700±0.0310 0.162651±0.0540 {"max_features": "sqrt", "splitter": "random"}
statlog-heart 270 13 2 11.64 6.32 4.72 0.778148±0.0493 0.079329±0.0282 {"max_features": "sqrt", "splitter": "random"}
statlog-image 2310 18 7 56.28 28.64 11.38 0.930606±0.0272 2.041580±0.1943 {"max_features": "sqrt", "splitter": "random"}
statlog-vehicle 846 18 4 51.92 26.46 9.68 0.691845±0.0391 0.732174±0.0902 {"max_features": "sqrt", "splitter": "random"}
synthetic-control 600 60 6 44.96 22.98 8.06 0.913333±0.0250 0.368570±0.0345 {"max_features": "sqrt", "splitter": "random"}
tic-tac-toe 958 9 2 13.92 7.46 4.36 0.735371±0.0785 0.230194±0.0896 {"max_features": "sqrt", "splitter": "random"}
vertebral-column-2clases 310 6 2 7.84 4.42 3.86 0.829355±0.0503 0.067534±0.0166 {"max_features": "sqrt", "splitter": "random"}
wine 178 13 3 11.52 6.26 4.50 0.931952±0.0438 0.058620±0.0117 {"max_features": "sqrt", "splitter": "random"}
zoo 101 16 7 18.08 9.54 8.32 0.930619±0.0646 0.095188±0.0137 {"max_features": "sqrt", "splitter": "random"}
✔ .....: 9
✔ .....: 1
★ .....: 3
** Accuracy compared to stree_default (liblinear-ovr) .: 0.9745
Time: 0h 14m 14s