OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 4550 Supervised Classification heart-c 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 1303.9481, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, 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: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1324.3161, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 1360.8502, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 1345.1736, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 1303.9481, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 940.3347, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1280.6338, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7772, kappa: 0.55, kb_relative_information_score: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7435, kappa: 0.482, kb_relative_information_score: 1418.0411, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7446, predictive_accuracy: 0.7449, prior_entropy: 0.9943, recall: 0.7449, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8973, scimark_benchmark: 940.3347, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.4409, kappa: 0.047, kb_relative_information_score: 347.5391, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.6265, predictive_accuracy: 0.5624, prior_entropy: 0.9943, recall: 0.5624, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3283, scimark_benchmark: 1335.643, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.805, kappa: 0.606, kb_relative_information_score: 1383.6683, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8075, predictive_accuracy: 0.8063, prior_entropy: 0.9943, recall: 0.8063, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7502, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7938, kappa: 0.584, kb_relative_information_score: 1552.4082, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7938, predictive_accuracy: 0.7941, prior_entropy: 0.9943, recall: 0.7941, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7721, scimark_benchmark: 1337.446, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8266, kappa: 0.6497, kb_relative_information_score: 1702.035, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8281, predictive_accuracy: 0.8274, prior_entropy: 0.9943, recall: 0.8274, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7068, scimark_benchmark: 1337.446, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8366, kappa: 0.67, kb_relative_information_score: 1761.691, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8378, predictive_accuracy: 0.8373, prior_entropy: 0.9943, recall: 0.8373, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6977, scimark_benchmark: 1343.5291, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7594, kappa: 0.5139, kb_relative_information_score: 1318.8835, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7608, predictive_accuracy: 0.7607, prior_entropy: 0.9943, recall: 0.7607, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9031, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.784, kappa: 0.564, kb_relative_information_score: 1630.1725, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7842, predictive_accuracy: 0.7845, prior_entropy: 0.9943, recall: 0.7845, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8138, scimark_benchmark: 889.3151, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8302, kappa: 0.6573, kb_relative_information_score: 1871.5268, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9943, recall: 0.8304, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7352, scimark_benchmark: 944.0517, 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: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8087, kappa: 0.614, kb_relative_information_score: 1724.7834, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9943, recall: 0.8089, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7701, scimark_benchmark: 1339.9935, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8241, kappa: 0.6448, kb_relative_information_score: 1214.6352, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8273, predictive_accuracy: 0.8254, prior_entropy: 0.9943, recall: 0.8254, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7406, scimark_benchmark: 1309.4998, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8252, kappa: 0.6468, kb_relative_information_score: 1210.8063, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8282, predictive_accuracy: 0.8264, prior_entropy: 0.9943, recall: 0.8264, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7388, scimark_benchmark: 932.5646, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8096, kappa: 0.6154, kb_relative_information_score: 1770.1608, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8111, predictive_accuracy: 0.8106, prior_entropy: 0.9943, recall: 0.8106, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8198, scimark_benchmark: 1350.4702, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8024, kappa: 0.601, kb_relative_information_score: 1674.8812, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9943, recall: 0.803, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7667, scimark_benchmark: 1324.5988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8257, kappa: 0.6482, kb_relative_information_score: 1694.2159, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7258, scimark_benchmark: 1343.5291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8258, kappa: 0.6485, kb_relative_information_score: 1854.8055, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8259, predictive_accuracy: 0.8261, prior_entropy: 0.9943, recall: 0.8261, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7099, scimark_benchmark: 937.1527, 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: 1407.0668, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7782, predictive_accuracy: 0.7782, prior_entropy: 0.9943, recall: 0.7782, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8563, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8068, kappa: 0.6103, kb_relative_information_score: 1401.9351, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8068, predictive_accuracy: 0.8069, prior_entropy: 0.9943, recall: 0.8069, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7322, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7627, kappa: 0.521, kb_relative_information_score: 1399.2443, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7626, predictive_accuracy: 0.763, prior_entropy: 0.9943, recall: 0.763, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9074, scimark_benchmark: 1337.0272,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7264, kappa: 0.4473, kb_relative_information_score: 1040.9149, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7267, predictive_accuracy: 0.7274, prior_entropy: 0.9943, recall: 0.7274, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8476, scimark_benchmark: 943.1756, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7768, kappa: 0.5491, kb_relative_information_score: 1417.9114, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.778, predictive_accuracy: 0.7779, prior_entropy: 0.9943, recall: 0.7779, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8572, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8153, kappa: 0.6271, kb_relative_information_score: 1756.381, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9943, recall: 0.8158, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7469, scimark_benchmark: 924.3698, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8206, kappa: 0.6377, kb_relative_information_score: 1753.1147, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8212, predictive_accuracy: 0.8211, prior_entropy: 0.9943, recall: 0.8211, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7339, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8279, kappa: 0.6525, kb_relative_information_score: 1753.4601, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8284, predictive_accuracy: 0.8284, prior_entropy: 0.9943, recall: 0.8284, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.725, scimark_benchmark: 933.3136, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8303, kappa: 0.6575, kb_relative_information_score: 1738.463, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8306, predictive_accuracy: 0.8307, prior_entropy: 0.9943, recall: 0.8307, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7197, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.819, kappa: 0.6347, kb_relative_information_score: 1674.9964, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8189, predictive_accuracy: 0.8191, prior_entropy: 0.9943, recall: 0.8191, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7297, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8222, kappa: 0.6417, kb_relative_information_score: 1620.9704, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8223, predictive_accuracy: 0.8221, prior_entropy: 0.9943, recall: 0.8221, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7496, scimark_benchmark: 1321.9426, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.823, kappa: 0.6429, kb_relative_information_score: 1595.5153, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8229, predictive_accuracy: 0.8231, prior_entropy: 0.9943, recall: 0.8231, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7949, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.8112, kappa: 0.6194, kb_relative_information_score: 1872.7304, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8112, predictive_accuracy: 0.8112, prior_entropy: 0.9943, recall: 0.8112, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8724, scimark_benchmark: 1313.9994, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8306, kappa: 0.6583, kb_relative_information_score: 1992.0756, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8305, predictive_accuracy: 0.8307, prior_entropy: 0.9943, recall: 0.8307, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8262, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8393, kappa: 0.6754, kb_relative_information_score: 2050.7368, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8418, predictive_accuracy: 0.8403, prior_entropy: 0.9943, recall: 0.8403, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8025, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8286, kappa: 0.6537, kb_relative_information_score: 1703.7558, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.83, predictive_accuracy: 0.8294, prior_entropy: 0.9943, recall: 0.8294, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7043, scimark_benchmark: 940.3347, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.7647, kappa: 0.5248, kb_relative_information_score: 1591.5612, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.765, predictive_accuracy: 0.7653, prior_entropy: 0.9943, recall: 0.7653, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9727, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8251, kappa: 0.647, kb_relative_information_score: 1693.7709, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8252, predictive_accuracy: 0.8254, prior_entropy: 0.9943, recall: 0.8254, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7156, scimark_benchmark: 932.0242, usercpu_time_millis: 3020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8219, kappa: 0.6405, kb_relative_information_score: 1816.6254, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8219, predictive_accuracy: 0.8221, prior_entropy: 0.9943, recall: 0.8221, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7057, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8094, kappa: 0.6151, kb_relative_information_score: 1450.5254, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9943, recall: 0.8099, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7306, scimark_benchmark: 1310.3951, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7434, kappa: 0.4826, kb_relative_information_score: 1454.8743, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7434, predictive_accuracy: 0.7436, prior_entropy: 0.9943, recall: 0.7436, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.504, root_relative_squared_error: 1.012, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7687, kappa: 0.5327, kb_relative_information_score: 1280.9597, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.771, predictive_accuracy: 0.7703, prior_entropy: 0.9943, recall: 0.7703, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8459, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7824, kappa: 0.5606, kb_relative_information_score: 1351.4927, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 0.9943, recall: 0.7835, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8411, scimark_benchmark: 1308.9788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7815, kappa: 0.5594, kb_relative_information_score: 1690.6784, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9943, recall: 0.7815, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9386, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5734, kappa: 0.2284, kb_relative_information_score: 830.9883, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7632, predictive_accuracy: 0.6413, prior_entropy: 0.9943, recall: 0.6413, relative_absolute_error: 0.7232, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2027, scimark_benchmark: 1291.6995, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7847, kappa: 0.5658, kb_relative_information_score: 1622.706, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7847, predictive_accuracy: 0.7848, prior_entropy: 0.9943, recall: 0.7848, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8694, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.7241, kappa: 0.444, kb_relative_information_score: 1338.7112, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7242, predictive_accuracy: 0.7241, prior_entropy: 0.9943, recall: 0.7241, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0547, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7827, kappa: 0.5611, kb_relative_information_score: 1708.8836, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4961, number_of_instances: 3030, precision: 0.7859, predictive_accuracy: 0.7845, prior_entropy: 0.9943, recall: 0.7845, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.498, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9322, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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From your own software

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

OpenML APIs