OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 1928 Supervised Classification heart-c 188 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1748.1881, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 1.0792, recall: 0.8304, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7335, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1335.9677, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8563, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7264, kappa: 0.4473, kb_relative_information_score: 998.5957, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7267, predictive_accuracy: 0.7274, prior_entropy: 1.0792, recall: 0.7274, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8475, scimark_benchmark: 1352.2099, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1748.1881, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 1.0792, recall: 0.8304, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7335, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1748.1881, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 1.0792, recall: 0.8304, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.231, root_relative_squared_error: 0.7335, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1742.1472, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 1.0792, recall: 0.8261, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7099, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1742.1472, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 1.0792, recall: 0.8261, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7099, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1335.9677, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8563, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1546.5286, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 1.0792, recall: 0.7947, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.8035, scimark_benchmark: 1337.446, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1335.9677, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8563, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7594, kappa: 0.5139, kb_relative_information_score: 1254.6767, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7608, predictive_accuracy: 0.7607, prior_entropy: 1.0792, recall: 0.7607, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.903, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8173, kappa: 0.631, kb_relative_information_score: 1329.4663, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8211, predictive_accuracy: 0.8188, prior_entropy: 1.0792, recall: 0.8188, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7322, scimark_benchmark: 1301.2156, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1546.5286, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 1.0792, recall: 0.7947, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.8035, scimark_benchmark: 1320.9026, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8237, kappa: 0.644, kb_relative_information_score: 1157.1992, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8271, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7392, scimark_benchmark: 932.5646, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7946, kappa: 0.5858, kb_relative_information_score: 1546.5286, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 1.0792, recall: 0.7947, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.8035, scimark_benchmark: 1319.4881, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8283, kappa: 0.6533, kb_relative_information_score: 1627.5654, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8295, predictive_accuracy: 0.829, prior_entropy: 1.0792, recall: 0.829, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7125, scimark_benchmark: 1332.6143, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.762, kappa: 0.5196, kb_relative_information_score: 1328.0581, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.762, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9089, scimark_benchmark: 1326.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8261, kappa: 0.6488, kb_relative_information_score: 1155.5983, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8294, predictive_accuracy: 0.8274, prior_entropy: 1.0792, recall: 0.8274, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7391, scimark_benchmark: 885.0921, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7824, kappa: 0.5606, kb_relative_information_score: 1533.3429, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7825, predictive_accuracy: 0.7828, prior_entropy: 1.0792, recall: 0.7828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8346, scimark_benchmark: 1344.4042, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8207, kappa: 0.6378, kb_relative_information_score: 1328.9335, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8243, predictive_accuracy: 0.8221, prior_entropy: 1.0792, recall: 0.8221, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7309, scimark_benchmark: 1371.9645, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1335.9677, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8563, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7647, kappa: 0.5248, kb_relative_information_score: 1505.9977, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.765, predictive_accuracy: 0.7653, prior_entropy: 1.0792, recall: 0.7653, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.9726, scimark_benchmark: 1297.2338, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7435, kappa: 0.482, kb_relative_information_score: 1346.0925, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7446, predictive_accuracy: 0.7449, prior_entropy: 1.0792, recall: 0.7449, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.8973, scimark_benchmark: 1348.8637, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8051, kappa: 0.6064, kb_relative_information_score: 1654.6966, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8062, predictive_accuracy: 0.8059, prior_entropy: 1.0792, recall: 0.8059, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8234, scimark_benchmark: 943.1756, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8138, kappa: 0.6239, kb_relative_information_score: 1327.1771, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.817, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7357, scimark_benchmark: 833.3193, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8129, kappa: 0.6221, kb_relative_information_score: 1317.2515, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8156, predictive_accuracy: 0.8142, prior_entropy: 1.0792, recall: 0.8142, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7415, scimark_benchmark: 1307.3764, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1335.9677, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8563, scimark_benchmark: 1316.5986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7573, kappa: 0.5101, kb_relative_information_score: 1422.1897, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7573, predictive_accuracy: 0.7578, prior_entropy: 1.0792, recall: 0.7578, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.9795, scimark_benchmark: 1299.9482, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8318, kappa: 0.6603, kb_relative_information_score: 1886.0991, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8336, predictive_accuracy: 0.8327, prior_entropy: 1.0792, recall: 0.8327, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8213, scimark_benchmark: 1298.4923, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.7334, kappa: 0.4614, kb_relative_information_score: 889.6923, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7342, predictive_accuracy: 0.7347, prior_entropy: 1.0792, recall: 0.7347, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8903, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7768, kappa: 0.5492, kb_relative_information_score: 1284.9688, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7787, predictive_accuracy: 0.7782, prior_entropy: 1.0792, recall: 0.7782, relative_absolute_error: 0.5766, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8353, scimark_benchmark: 1324.5988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7718, kappa: 0.5394, kb_relative_information_score: 1494.816, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7719, predictive_accuracy: 0.7723, prior_entropy: 1.0792, recall: 0.7723, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.8796, scimark_benchmark: 1309.4998, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.805, kappa: 0.606, kb_relative_information_score: 1314.4945, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8075, predictive_accuracy: 0.8063, prior_entropy: 1.0792, recall: 0.8063, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.7502, scimark_benchmark: 1322.4054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 357.0905, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 1.0792, recall: 0.5624, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.3282, scimark_benchmark: 891.9953, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1742.1472, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 1.0792, recall: 0.8261, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7099, scimark_benchmark: 985.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7717, kappa: 0.54, kb_relative_information_score: 1417.1349, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 1.0792, recall: 0.7716, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.8851, scimark_benchmark: 1384.8417, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7717, kappa: 0.54, kb_relative_information_score: 1417.1349, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 1.0792, recall: 0.7716, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.8851, scimark_benchmark: 986.8456, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7773, kappa: 0.5513, kb_relative_information_score: 1498.2439, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7775, predictive_accuracy: 0.7772, prior_entropy: 1.0792, recall: 0.7772, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.8903, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7241, kappa: 0.444, kb_relative_information_score: 1273.2168, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7242, predictive_accuracy: 0.7241, prior_entropy: 1.0792, recall: 0.7241, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3322, root_relative_squared_error: 1.0546, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7827, kappa: 0.5611, kb_relative_information_score: 1613.8782, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7859, predictive_accuracy: 0.7845, prior_entropy: 1.0792, recall: 0.7845, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.9321, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.384, kb_relative_information_score: -4.6635, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.7583, kappa: 0.5121, kb_relative_information_score: 1300.7396, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.7583, predictive_accuracy: 0.7587, prior_entropy: 1.0792, recall: 0.7587, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9183, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.7206, build_memory: 394626508.33, f_measure: 0.8311, kappa: 0.6589, kb_relative_information_score: 1451.6708, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.833, predictive_accuracy: 0.832, prior_entropy: 1.0792, recall: 0.832, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.71, scimark_benchmark: 938.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, build_cpu_time: 1.4215, build_memory: 539366139.7465, f_measure: 0.8324, kappa: 0.6615, kb_relative_information_score: 1453.5587, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8344, predictive_accuracy: 0.8333, prior_entropy: 1.0792, recall: 0.8333, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.7096, scimark_benchmark: 932.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, build_cpu_time: 0.311, build_memory: 731655419.8284, f_measure: 0.807, kappa: 0.6104, kb_relative_information_score: 1395.2626, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 1.0792, recall: 0.8073, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7312, scimark_benchmark: 942.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, build_cpu_time: 0.167, build_memory: 866859536.9637, f_measure: 0.8082, kappa: 0.6129, kb_relative_information_score: 1395.0223, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.732, scimark_benchmark: 947.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, build_cpu_time: 0.1061, build_memory: 152716616.1399, f_measure: 0.8052, kappa: 0.6069, kb_relative_information_score: 1394.1161, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8054, predictive_accuracy: 0.8056, prior_entropy: 1.0792, recall: 0.8056, relative_absolute_error: 0.5349, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7347, scimark_benchmark: 588.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, build_cpu_time: 0.0436, build_memory: 2510720784.5043, f_measure: 0.8021, kappa: 0.6006, kb_relative_information_score: 1395.7257, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8021, predictive_accuracy: 0.8023, prior_entropy: 1.0792, recall: 0.8023, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.7407, scimark_benchmark: 943.5032,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs