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);
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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);
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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);
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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);
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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);
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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);
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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);
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