stree_datasets/results/normalizados/j48svm.sql

insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'balance-scale', 0.94, 0.021836, 0.14862, 0.054757, 35.6);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'balloons', 0.595, 0.187831, 0.00504, 0.002683, 4.4);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc-diag', 0.952878, 0.023749, 0.03688, 0.007506, 13.48);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc-prog', 0.724038, 0.072215, 0.03234, 0.006895, 21.52);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer-wisc', 0.967674, 0.012478, 0.04816, 0.006961, 8.28);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'breast-cancer', 0.707719, 0.052367, 0.0713, 0.010275, 23.16);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cardiotocography-10clases', 0.830812, 0.016194, 1.42148, 0.089646, 197.6);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cardiotocography-3clases', 0.927327, 0.013055, 0.40532, 0.018162, 92.24);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'conn-bench-sonar-mines-rocks', 0.73892, 0.06386, 0.04418, 0.005117, 25.2);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'cylinder-bands', 0.726351, 0.029474, 0.1099, 0.0079, 85.4);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'dermatology', 0.955735, 0.023581, 0.0738, 0.016643, 15.12);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'echocardiogram', 0.805527, 0.084433, 0.02296, 0.005407, 13.4);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'fertility', 0.857, 0.071421, 0.02498, 0.005998, 4.48);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'haberman-survival', 0.714056, 0.04944, 0.02248, 0.010216, 4.44);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'heart-hungarian', 0.785026, 0.048182, 0.06344, 0.006888, 22.12);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'hepatitis', 0.761935, 0.058025, 0.03602, 0.005464, 16.6);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'ilpd-indian-liver', 0.690339, 0.04248, 0.05586, 0.011349, 14.24);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'ionosphere', 0.891984, 0.033857, 0.0462, 0.0036, 23.64);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'iris', 0.947333, 0.035957, 0.0133, 0.002914, 7.04);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'led-display', 0.7204, 0.028193, 1.31958, 0.102793, 13.04);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'libras', 0.66, 0.062869, 1.09746, 0.078557, 88.24);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'low-res-spect', 0.83358, 0.038622, 0.34854, 0.027053, 45.8);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'lymphography', 0.778552, 0.078755, 0.0553, 0.009578, 25.28);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'mammographic', 0.821435, 0.024479, 0.09182, 0.011567, 18.68);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'molec-biol-promoter', 0.744935, 0.092023, 0.02698, 0.004701, 16.0);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'musk-1', 0.82693, 0.046843, 0.32902, 0.029412, 50.72);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_merluccius_nucleus_4d', 0.741766, 0.034628, 0.23738, 0.025296, 78.04);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_merluccius_states_2f', 0.901374, 0.021463, 0.12582, 0.017535, 38.36);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_trisopterus_nucleus_2f', 0.756587, 0.034538, 0.2026, 0.047357, 57.56);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'oocytes_trisopterus_states_5b', 0.887943, 0.02368, 0.1566, 0.015336, 56.12);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'parkinsons', 0.844615, 0.051642, 0.02474, 0.004582, 18.04);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pima', 0.749876, 0.026553, 0.06754, 0.012694, 22.68);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-MATERIAL', 0.855844, 0.070512, 0.04744, 0.009731, 7.12);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-REL-L', 0.645048, 0.103969, 0.0741, 0.013543, 13.52);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-SPAN', 0.621579, 0.123278, 0.05116, 0.010828, 10.7);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'pittsburg-bridges-T-OR-D', 0.838333, 0.077644, 0.02828, 0.00596, 6.72);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'planning', 0.711381, 0.050453, 0.0074, 0.003504, 1.08);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'post-operative', 0.701111, 0.086702, 0.0495, 0.013578, 1.88);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'seeds', 0.909524, 0.049027, 0.02798, 0.006433, 13.28);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-australian-credit', 0.66029, 0.03596, 0.17408, 0.022439, 85.16);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-german-credit', 0.7244, 0.028664, 0.23886, 0.01523, 127.24);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-heart', 0.795926, 0.049896, 0.0645, 0.007953, 18.64);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-image', 0.967403, 0.010826, 0.35438, 0.03814, 69.8);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'statlog-vehicle', 0.729651, 0.03218, 0.29036, 0.024589, 93.44);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'synthetic-control', 0.922333, 0.030342, 0.17098, 0.019401, 35.32);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'tic-tac-toe', 0.983295, 0.007889, 0.07022, 0.007588, 3.0);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'vertebral-column-2clases', 0.84871, 0.047834, 0.02314, 0.006512, 10.32);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'wine', 0.979143, 0.020263, 0.00792, 0.002115, 4.32);
insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values(1, '2021-04-09', '23:43:20', 'crossval', 'j48svm', 'zoo', 0.92381, 0.046715, 0.09676, 0.012512, 14.48);