OpenML
Supervised Classification on AP_Colon_Prostate

Supervised Classification on AP_Colon_Prostate

Task 3969 Supervised Classification AP_Colon_Prostate 76 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9887, kappa: 0.9636, kb_relative_information_score: 328.382, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.714, recall: 0.9887, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9713, kappa: 0.907, kb_relative_information_score: 315.9377, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.714, recall: 0.9718, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9831, kappa: 0.946, kb_relative_information_score: 323.3293, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.714, recall: 0.9831, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9741, kappa: 0.9158, kb_relative_information_score: 312.9722, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9749, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9803, kappa: 0.9374, kb_relative_information_score: 327.1365, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.714, recall: 0.9803, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9629, kappa: 0.8798, kb_relative_information_score: 109.9158, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9629, predictive_accuracy: 0.9634, prior_entropy: 0.714, recall: 0.9634, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9773, kappa: 0.9272, kb_relative_information_score: 324.0533, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.986, kappa: 0.9553, kb_relative_information_score: 332.627, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.7189, kb_relative_information_score: 3.4174, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9829, kappa: 0.9448, kb_relative_information_score: 311.8331, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.714, recall: 0.9831, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.986, kappa: 0.9553, kb_relative_information_score: 334.6024, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.975, kappa: 0.9212, kb_relative_information_score: 319.6707, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9759, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4024, scimark_benchmark: 1922.3298, usercpu_time_millis: 9968.75, usercpu_time_millis_testing: 4875, usercpu_time_millis_training: 5093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9776, kappa: 0.9288, kb_relative_information_score: 323.4036, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3794, scimark_benchmark: 1922.3298, usercpu_time_millis: 10062.5, usercpu_time_millis_testing: 4859.375, usercpu_time_millis_training: 5203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141, scimark_benchmark: 1922.3298, usercpu_time_millis: 21687.5, usercpu_time_millis_testing: 11484.375, usercpu_time_millis_training: 10203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141, scimark_benchmark: 1280.301, usercpu_time_millis: 17296.875, usercpu_time_millis_testing: 9750, usercpu_time_millis_training: 7546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.7189, kb_relative_information_score: 11.2152, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0014, scimark_benchmark: 1554.0097, usercpu_time_millis: 1065160, usercpu_time_millis_testing: 48310, usercpu_time_millis_training: 1016850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141, scimark_benchmark: 1379.2888, usercpu_time_millis: 25000, usercpu_time_millis_testing: 11420, usercpu_time_millis_training: 13580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141, scimark_benchmark: 1373.1152, usercpu_time_millis: 46460, usercpu_time_millis_testing: 14990, usercpu_time_millis_training: 31470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.975, kappa: 0.9212, kb_relative_information_score: 319.6707, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9759, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4024, scimark_benchmark: 1389.9033, usercpu_time_millis: 13230, usercpu_time_millis_testing: 6420, usercpu_time_millis_training: 6810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9776, kappa: 0.9288, kb_relative_information_score: 323.4036, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3794, scimark_benchmark: 1698.2984, usercpu_time_millis: 10980, usercpu_time_millis_testing: 5230, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7189, kb_relative_information_score: 95.6948, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1141, scimark_benchmark: 1665.974, usercpu_time_millis: 262531.25, usercpu_time_millis_testing: 71781.25, usercpu_time_millis_training: 190750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9776, kappa: 0.9288, kb_relative_information_score: 323.4036, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3794, scimark_benchmark: 1132.3592, usercpu_time_millis: 6680, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 6600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.7189, kb_relative_information_score: 12.0321, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3964, root_relative_squared_error: 1.0018, scimark_benchmark: 977.1071, usercpu_time_millis: 351090, usercpu_time_millis_testing: 81090, usercpu_time_millis_training: 270000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9859, kappa: 0.9548, kb_relative_information_score: 329.5806, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999, scimark_benchmark: 1308.6142, usercpu_time_millis: 108070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 108050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9888, kappa: 0.9644, kb_relative_information_score: 338.3353, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.989, predictive_accuracy: 0.9887, prior_entropy: 0.714, recall: 0.9887, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2682, scimark_benchmark: 1498.7837, usercpu_time_millis: 4040, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9803, kappa: 0.9374, kb_relative_information_score: 327.1365, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.714, recall: 0.9803, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3549, scimark_benchmark: 1301.7816, usercpu_time_millis: 2640, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9776, kappa: 0.9288, kb_relative_information_score: 323.4036, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9778, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3794, scimark_benchmark: 1295.3011, usercpu_time_millis: 7430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 7330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.7189, kb_relative_information_score: 13.5184, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.649, predictive_accuracy: 0.8056, prior_entropy: 0.714, recall: 0.8056, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0023, scimark_benchmark: 1105.72, usercpu_time_millis: 649120, usercpu_time_millis_testing: 155560, usercpu_time_millis_training: 493560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9718, kappa: 0.9101, kb_relative_information_score: 313.1171, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.714, recall: 0.9718, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4269, scimark_benchmark: 1294.1245, usercpu_time_millis: 425760, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 425680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9747, kappa: 0.9195, kb_relative_information_score: 317.5494, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9748, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4012, scimark_benchmark: 1304.7218, usercpu_time_millis: 8620, usercpu_time_millis_testing: 7360, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9858, kappa: 0.9543, kb_relative_information_score: 334.6024, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999, scimark_benchmark: 1311.5297, usercpu_time_millis: 138570, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 138550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9773, kappa: 0.9272, kb_relative_information_score: 320.4185, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3788, scimark_benchmark: 1202.6336, usercpu_time_millis: 7960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9773, kappa: 0.9272, kb_relative_information_score: 316.9274, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.714, recall: 0.9775, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3749, scimark_benchmark: 942.4852, usercpu_time_millis: 2870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9887, kappa: 0.9636, kb_relative_information_score: 307.9833, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.714, recall: 0.9887, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.116, root_relative_squared_error: 0.2932, scimark_benchmark: 1123.2071, usercpu_time_millis: 2540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9833, kappa: 0.9472, kb_relative_information_score: 330.8695, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9838, predictive_accuracy: 0.9831, prior_entropy: 0.714, recall: 0.9831, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.13, root_relative_squared_error: 0.3285, scimark_benchmark: 1290.8917, usercpu_time_millis: 10600, usercpu_time_millis_testing: 2770, usercpu_time_millis_training: 7830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.986, kappa: 0.9553, kb_relative_information_score: 332.627, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2991, scimark_benchmark: 960.6122, usercpu_time_millis: 2590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.986, kappa: 0.9558, kb_relative_information_score: 334.6024, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9864, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999, scimark_benchmark: 1304.2512, usercpu_time_millis: 4230, usercpu_time_millis_testing: 2440, usercpu_time_millis_training: 1790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9803, kappa: 0.9374, kb_relative_information_score: 327.1365, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.714, recall: 0.9803, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3549, scimark_benchmark: 1249.3539, usercpu_time_millis: 1620, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9859, kappa: 0.9548, kb_relative_information_score: 334.6024, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2999, scimark_benchmark: 731.07, usercpu_time_millis: 10070, usercpu_time_millis_testing: 2600, usercpu_time_millis_training: 7470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9858, kappa: 0.9543, kb_relative_information_score: 303.1292, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3055, scimark_benchmark: 947.2074, usercpu_time_millis: 1730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.986, kappa: 0.9553, kb_relative_information_score: 324.6542, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2988, scimark_benchmark: 1031.1939, usercpu_time_millis: 1000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9747, kappa: 0.9195, kb_relative_information_score: 317.5494, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.9748, predictive_accuracy: 0.9746, prior_entropy: 0.714, recall: 0.9746, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4012, scimark_benchmark: 1315.5934, usercpu_time_millis: 6760, usercpu_time_millis_testing: 6760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.986, kappa: 0.9553, kb_relative_information_score: 332.627, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3142, number_of_instances: 355, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.714, recall: 0.9859, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.2991, scimark_benchmark: 1028.6664, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,

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