insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'balance-scale', 0.94016, 0.021776, 0.14606, 0.058464, 35.58); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'balloons', 0.595, 0.187831, 0.00542, 0.002728, 4.4); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc-diag', 0.951826, 0.024727, 0.03676, 0.006019, 13.76); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc-prog', 0.724038, 0.072215, 0.0326, 0.005706, 21.52); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer-wisc', 0.967246, 0.012464, 0.04834, 0.007073, 8.36); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'breast-cancer', 0.707368, 0.052112, 0.07078, 0.010561, 23.16); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cardiotocography-10clases', 0.830342, 0.016803, 1.40346, 0.085345, 197.52); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cardiotocography-3clases', 0.928503, 0.012272, 0.40414, 0.019315, 91.84); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'conn-bench-sonar-mines-rocks', 0.73892, 0.06386, 0.04474, 0.005976, 25.2); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'cylinder-bands', 0.726547, 0.02963, 0.10644, 0.007869, 85.4); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'dermatology', 0.957105, 0.024117, 0.07098, 0.018434, 15.12); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'echocardiogram', 0.805527, 0.084433, 0.02256, 0.005852, 13.4); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'fertility', 0.857, 0.071421, 0.02454, 0.005367, 4.48); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'haberman-survival', 0.715024, 0.049144, 0.02132, 0.009392, 4.4); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'heart-hungarian', 0.785026, 0.048182, 0.0628, 0.008459, 22.12); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'hepatitis', 0.761935, 0.058025, 0.0366, 0.006066, 16.6); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'ilpd-indian-liver', 0.690339, 0.04248, 0.05484, 0.011497, 14.24); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'ionosphere', 0.891984, 0.033857, 0.04734, 0.005932, 23.64); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'iris', 0.946, 0.035207, 0.01378, 0.00422, 6.88); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'led-display', 0.7209, 0.028665, 1.27506, 0.090806, 12.6); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'libras', 0.659722, 0.062685, 1.0564, 0.068396, 88.24); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'low-res-spect', 0.838295, 0.038928, 0.33104, 0.024767, 45.76); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'lymphography', 0.778552, 0.078755, 0.0503, 0.00861, 25.28); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'mammographic', 0.821539, 0.024023, 0.0861, 0.007877, 18.84); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'molec-biol-promoter', 0.744026, 0.091065, 0.02676, 0.004554, 16.0); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'musk-1', 0.82693, 0.046843, 0.32962, 0.02499, 50.72); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_merluccius_nucleus_4d', 0.74353, 0.034123, 0.23794, 0.023783, 77.32); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_merluccius_states_2f', 0.902056, 0.021722, 0.1223, 0.014771, 38.2); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_trisopterus_nucleus_2f', 0.753968, 0.034471, 0.19938, 0.049357, 57.12); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'oocytes_trisopterus_states_5b', 0.898354, 0.02595, 0.18212, 0.035407, 44.6); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'parkinsons', 0.844615, 0.051642, 0.02374, 0.004573, 18.04); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pima', 0.750526, 0.026704, 0.06446, 0.011616, 21.56); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-MATERIAL', 0.85026, 0.073586, 0.04298, 0.008133, 7.12); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-REL-L', 0.645048, 0.103969, 0.069, 0.011732, 13.48); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-SPAN', 0.614912, 0.119086, 0.0498, 0.009224, 11.04); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'pittsburg-bridges-T-OR-D', 0.838333, 0.077644, 0.02482, 0.004412, 6.72); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'planning', 0.711381, 0.050453, 0.00692, 0.003741, 1.08); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'post-operative', 0.701111, 0.086702, 0.04788, 0.012367, 1.88); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'seeds', 0.909048, 0.048723, 0.0274, 0.005923, 13.08); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-australian-credit', 0.66029, 0.03596, 0.16892, 0.026192, 85.16); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-german-credit', 0.7244, 0.028296, 0.23736, 0.013601, 128.48); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-heart', 0.80963, 0.047725, 0.0627, 0.006149, 15.28); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-image', 0.967619, 0.010865, 0.3594, 0.040865, 69.68); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'statlog-vehicle', 0.732255, 0.030612, 0.28718, 0.022451, 92.72); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'synthetic-control', 0.922333, 0.030661, 0.1636, 0.017013, 35.24); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'tic-tac-toe', 0.983295, 0.007889, 0.0688, 0.007225, 3.0); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'vertebral-column-2clases', 0.852258, 0.044507, 0.02046, 0.005427, 9.16); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'wine', 0.978587, 0.020819, 0.00794, 0.00142, 4.32); insert into results(norm, date, time, type, classifier, dataset, accuracy, accuracy_std, time_spent, time_spent_std, nodes) values (1, '2021-04-12', '01:43:11', 'crossval', 'j48svm', 'zoo', 0.92381, 0.046715, 0.08532, 0.00977, 14.48);