Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 4567 Supervised Classification audiology 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9586, kappa: 0.891, kb_relative_information_score: 1898.6098, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9591, predictive_accuracy: 0.9584, prior_entropy: 0.8182, recall: 0.9584, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4483, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9667, kappa: 0.9116, kb_relative_information_score: 1823.2786, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.8182, recall: 0.9668, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4117, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9469, kappa: 0.8592, kb_relative_information_score: 1813.8862, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4756, scimark_benchmark: 934.3687, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9497, kappa: 0.8682, kb_relative_information_score: 1712.285, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.951, predictive_accuracy: 0.9491, prior_entropy: 0.8182, recall: 0.9491, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4759, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9634, kappa: 0.901, kb_relative_information_score: 1802.6524, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9651, predictive_accuracy: 0.9642, prior_entropy: 0.8182, recall: 0.9642, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.415, scimark_benchmark: 944.1067, usercpu_time_millis: 540, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 931.771, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 936.3373, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9619, kappa: 0.897, kb_relative_information_score: 1649.0539, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 0.8182, recall: 0.9628, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.43, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9586, kappa: 0.891, kb_relative_information_score: 1898.6098, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9591, predictive_accuracy: 0.9584, prior_entropy: 0.8182, recall: 0.9584, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4483, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9667, kappa: 0.9116, kb_relative_information_score: 1823.2786, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.8182, recall: 0.9668, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4117, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9469, kappa: 0.8592, kb_relative_information_score: 1813.8862, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4756, scimark_benchmark: 936.2574, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9309, kappa: 0.8178, kb_relative_information_score: 1728.3931, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9314, predictive_accuracy: 0.9305, prior_entropy: 0.8182, recall: 0.9305, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5022, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9497, kappa: 0.8682, kb_relative_information_score: 1712.285, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.951, predictive_accuracy: 0.9491, prior_entropy: 0.8182, recall: 0.9491, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4759, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 942.2392, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9619, kappa: 0.897, kb_relative_information_score: 1649.0539, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 0.8182, recall: 0.9628, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.43, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9665, kappa: 0.9103, kb_relative_information_score: 1759.7422, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.8182, recall: 0.9668, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3983, scimark_benchmark: 917.5013, usercpu_time_millis: 7820, usercpu_time_millis_testing: 4090, usercpu_time_millis_training: 3730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9669, kappa: 0.9114, kb_relative_information_score: 1763.3259, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.8182, recall: 0.9673, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3987, scimark_benchmark: 944.0133, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1820, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9696, kappa: 0.9187, kb_relative_information_score: 1751.154, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.8182, recall: 0.9699, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.176, root_relative_squared_error: 0.4053, scimark_benchmark: 917.5013, usercpu_time_millis: 1910, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9669, kappa: 0.9115, kb_relative_information_score: 1753.9495, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9671, predictive_accuracy: 0.9673, prior_entropy: 0.8182, recall: 0.9673, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.4047, scimark_benchmark: 941.589, usercpu_time_millis: 960, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9648, kappa: 0.906, kb_relative_information_score: 1734.3839, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.8182, recall: 0.965, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4177, scimark_benchmark: 942.5233, usercpu_time_millis: 370, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9468, kappa: 0.8586, kb_relative_information_score: 1895.7159, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9467, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4595, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9468, kappa: 0.8586, kb_relative_information_score: 1895.7159, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9467, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4595, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9468, kappa: 0.8586, kb_relative_information_score: 1895.5963, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9467, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4595, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9464, kappa: 0.8575, kb_relative_information_score: 1894.3968, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.8182, recall: 0.9465, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4591, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9489, kappa: 0.8641, kb_relative_information_score: 1905.4369, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9488, predictive_accuracy: 0.9491, prior_entropy: 0.8182, recall: 0.9491, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4396, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.6399, kb_relative_information_score: -5.5892, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.5592, predictive_accuracy: 0.7478, prior_entropy: 0.8182, recall: 0.7478, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9533, kappa: 0.8769, kb_relative_information_score: 1925.2508, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9537, predictive_accuracy: 0.9531, prior_entropy: 0.8182, recall: 0.9531, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4594, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9634, kappa: 0.901, kb_relative_information_score: 1802.6524, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9651, predictive_accuracy: 0.9642, prior_entropy: 0.8182, recall: 0.9642, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.415, scimark_benchmark: 1313.9976, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9309, kappa: 0.8178, kb_relative_information_score: 1728.3931, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9314, predictive_accuracy: 0.9305, prior_entropy: 0.8182, recall: 0.9305, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5022, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1331.1314, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 1322.1893, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9619, kappa: 0.897, kb_relative_information_score: 1649.0539, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 0.8182, recall: 0.9628, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.43, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9667, kappa: 0.9116, kb_relative_information_score: 1823.2786, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.8182, recall: 0.9668, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4117, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9474, kappa: 0.8605, kb_relative_information_score: 1816.6026, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9474, predictive_accuracy: 0.9473, prior_entropy: 0.8182, recall: 0.9473, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4737, scimark_benchmark: 1321.8132, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 1342.2332, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9309, kappa: 0.8178, kb_relative_information_score: 1728.3931, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9314, predictive_accuracy: 0.9305, prior_entropy: 0.8182, recall: 0.9305, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5022, scimark_benchmark: 1335.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9497, kappa: 0.8682, kb_relative_information_score: 1712.285, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.951, predictive_accuracy: 0.9491, prior_entropy: 0.8182, recall: 0.9491, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4759, scimark_benchmark: 1330.4755, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 1352.9931, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9619, kappa: 0.897, kb_relative_information_score: 1649.0539, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.964, predictive_accuracy: 0.9628, prior_entropy: 0.8182, recall: 0.9628, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.43, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9586, kappa: 0.891, kb_relative_information_score: 1898.6098, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9591, predictive_accuracy: 0.9584, prior_entropy: 0.8182, recall: 0.9584, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4483, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9431, kappa: 0.8496, kb_relative_information_score: 1867.0297, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9433, predictive_accuracy: 0.9429, prior_entropy: 0.8182, recall: 0.9429, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4699, scimark_benchmark: 1310.6554, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 1498.7023, usercpu_time_millis: 1170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 1296.2859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7252, kappa: 0.2235, kb_relative_information_score: 849.4377, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.8351, predictive_accuracy: 0.7885, prior_entropy: 0.8182, recall: 0.7885, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.059, scimark_benchmark: 1303.9481, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9452, kappa: 0.8539, kb_relative_information_score: 1851.4223, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9451, predictive_accuracy: 0.9456, prior_entropy: 0.8182, recall: 0.9456, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 1297.2338, usercpu_time_millis: 1270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9431, kappa: 0.8483, kb_relative_information_score: 1784.8309, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9429, predictive_accuracy: 0.9434, prior_entropy: 0.8182, recall: 0.9434, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4694, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9471, kappa: 0.8618, kb_relative_information_score: 1821.7551, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.3783, number_of_instances: 2260, precision: 0.9488, predictive_accuracy: 0.9465, prior_entropy: 0.8182, recall: 0.9465, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.5085, scimark_benchmark: 1280.6338, usercpu_time_millis: 10, usercpu_time_millis_testing: 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

OpenML bootcamp

From your own software

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

OpenML APIs