OpenML
Supervised Classification on colic

Supervised Classification on colic

Task 27 Supervised Classification colic 754 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8514, kappa: 0.6782, kb_relative_information_score: 192.1329, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8523, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.347, root_relative_squared_error: 0.719, scimark_benchmark: 894.7131, usercpu_time_millis: 420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8514, kappa: 0.6782, kb_relative_information_score: 190.8188, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8523, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.7101, scimark_benchmark: 930.5033, usercpu_time_millis: 820, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8546, kappa: 0.6857, kb_relative_information_score: 196.021, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8549, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7013, scimark_benchmark: 899.0468, usercpu_time_millis: 1760, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8517, kappa: 0.6792, kb_relative_information_score: 196.1386, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8521, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6893, scimark_benchmark: 932.438, usercpu_time_millis: 3790, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8517, kappa: 0.6792, kb_relative_information_score: 195.4992, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8521, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6943, scimark_benchmark: 1171.0303, usercpu_time_millis: 10550, usercpu_time_millis_testing: 3780, usercpu_time_millis_training: 6770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 901.4991, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 730.6551, usercpu_time_millis: 1770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8223, kappa: 0.6169, kb_relative_information_score: 192.7809, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.822, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7623, scimark_benchmark: 936.9595, usercpu_time_millis: 3160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8511, kappa: 0.6772, kb_relative_information_score: 196.5298, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8525, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7212, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 930.404, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 943.6618, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8307, kappa: 0.6351, kb_relative_information_score: 192.596, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8303, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7529, scimark_benchmark: 608.4057, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8265, kappa: 0.624, kb_relative_information_score: 155.3581, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8272, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7534, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 943.1009, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 938.5498, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8537, kappa: 0.6827, kb_relative_information_score: 172.4716, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8555, predictive_accuracy: 0.856, prior_entropy: 0.9509, recall: 0.856, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7, scimark_benchmark: 931.771, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.837, kappa: 0.6501, kb_relative_information_score: 208.2546, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7582, scimark_benchmark: 927.2917, usercpu_time_millis: 1170, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8511, kappa: 0.6772, kb_relative_information_score: 196.5298, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8525, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7212, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.8149, kappa: 0.6022, kb_relative_information_score: 196.3871, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8147, predictive_accuracy: 0.8152, prior_entropy: 0.9509, recall: 0.8152, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7831, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7153, kappa: 0.3782, kb_relative_information_score: 149.0945, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7271, predictive_accuracy: 0.731, prior_entropy: 0.9509, recall: 0.731, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.5187, root_relative_squared_error: 1.0746, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8307, kappa: 0.6351, kb_relative_information_score: 192.596, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8303, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7529, scimark_benchmark: 851.2074, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8265, kappa: 0.624, kb_relative_information_score: 155.3581, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8272, predictive_accuracy: 0.8288, prior_entropy: 0.9509, recall: 0.8288, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7534, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.8693, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7397, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4875, kb_relative_information_score: -0.1525, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4875, kb_relative_information_score: -0.1525, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.3974, predictive_accuracy: 0.6304, prior_entropy: 0.9509, recall: 0.6304, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0001, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8054, kappa: 0.5852, kb_relative_information_score: 192.8795, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8073, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8477, scimark_benchmark: 1230.3004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8194, kappa: 0.6072, kb_relative_information_score: 185.3072, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8225, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7497, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.799, kappa: 0.5613, kb_relative_information_score: 189.5719, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.81, predictive_accuracy: 0.8071, prior_entropy: 0.9509, recall: 0.8071, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8598, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7751, kappa: 0.5096, kb_relative_information_score: 174.59, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.781, predictive_accuracy: 0.7826, prior_entropy: 0.9509, recall: 0.7826, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8771, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8494, kappa: 0.6748, kb_relative_information_score: 197.0585, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8494, predictive_accuracy: 0.8505, prior_entropy: 0.9509, recall: 0.8505, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7561, scimark_benchmark: 967.6395, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8129, kappa: 0.5994, kb_relative_information_score: 215.3662, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8134, predictive_accuracy: 0.8125, prior_entropy: 0.9509, recall: 0.8125, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8971, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 226.4114, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.417, root_relative_squared_error: 0.864, scimark_benchmark: 956.9393, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.8313, kappa: 0.6373, kb_relative_information_score: 175.9976, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.831, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7557, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8195, kappa: 0.6104, kb_relative_information_score: 182.3335, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8191, predictive_accuracy: 0.8207, prior_entropy: 0.9509, recall: 0.8207, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7886, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8198, kappa: 0.6084, kb_relative_information_score: 161.3594, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8222, predictive_accuracy: 0.8234, prior_entropy: 0.9509, recall: 0.8234, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.7881, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.8101, kappa: 0.593, kb_relative_information_score: 178.8168, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8104, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7599, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8327, kappa: 0.6382, kb_relative_information_score: 207.0018, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8327, predictive_accuracy: 0.8342, prior_entropy: 0.9509, recall: 0.8342, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7853, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8089, kappa: 0.588, kb_relative_information_score: 182.5419, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8084, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7878, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8498, kappa: 0.6732, kb_relative_information_score: 189.9933, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8545, predictive_accuracy: 0.8533, prior_entropy: 0.9509, recall: 0.8533, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7444, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.773, kappa: 0.516, kb_relative_information_score: 171.6681, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.775, predictive_accuracy: 0.7717, prior_entropy: 0.9509, recall: 0.7717, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8798, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8595, kappa: 0.6956, kb_relative_information_score: 171.6743, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8608, predictive_accuracy: 0.8614, prior_entropy: 0.9509, recall: 0.8614, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7026, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8372, kappa: 0.6468, kb_relative_information_score: 190.4372, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8386, predictive_accuracy: 0.8397, prior_entropy: 0.9509, recall: 0.8397, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7599, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8349, kappa: 0.6425, kb_relative_information_score: 187.1608, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8355, predictive_accuracy: 0.837, prior_entropy: 0.9509, recall: 0.837, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7752, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8089, kappa: 0.588, kb_relative_information_score: 182.5419, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8084, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7878, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7778, kappa: 0.5247, kb_relative_information_score: 185.7364, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7787, predictive_accuracy: 0.7772, prior_entropy: 0.9509, recall: 0.7772, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.975, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7992, kappa: 0.5698, kb_relative_information_score: 180.0088, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.7996, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.8116, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 201.8023, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8005, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8095, kappa: 0.5905, kb_relative_information_score: 213.1571, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8092, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9036, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8252, kappa: 0.6233, kb_relative_information_score: 226.4114, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8248, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.417, root_relative_squared_error: 0.864, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,

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