OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3043 Supervised Classification sick 337 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.9509, kappa: 0.5478, kb_relative_information_score: 667.082, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9559, predictive_accuracy: 0.9582, prior_entropy: 0.3333, recall: 0.9582, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.8238, scimark_benchmark: 1339.8573, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9387, kappa: 0.4466, kb_relative_information_score: 476.1229, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9375, predictive_accuracy: 0.9461, prior_entropy: 0.3333, recall: 0.9461, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.815, scimark_benchmark: 916.6405, usercpu_time_millis: 69240, usercpu_time_millis_testing: 69240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 1328.941, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9022, kb_relative_information_score: 10.8682, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.8725, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.0002, scimark_benchmark: 1327.2954, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9693, kappa: 0.7631, kb_relative_information_score: 708.1992, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9719, predictive_accuracy: 0.9678, prior_entropy: 0.3333, recall: 0.9678, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.6388, scimark_benchmark: 1342.6911, usercpu_time_millis: 31310, usercpu_time_millis_testing: 31310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9861, kappa: 0.8858, kb_relative_information_score: 1066.7751, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9861, predictive_accuracy: 0.9863, prior_entropy: 0.3333, recall: 0.9863, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4625, scimark_benchmark: 894.7222, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9796, kappa: 0.832, kb_relative_information_score: 810.7457, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.124, root_relative_squared_error: 0.4995, scimark_benchmark: 1320.9026, usercpu_time_millis: 900, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9732, kappa: 0.7809, kb_relative_information_score: 873.1121, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.537, scimark_benchmark: 1343.6648, usercpu_time_millis: 690, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9596, kappa: 0.6289, kb_relative_information_score: 638.9084, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9654, prior_entropy: 0.3333, recall: 0.9654, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.6535, scimark_benchmark: 1311.9814, usercpu_time_millis: 3780, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 922.1419, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9743, kappa: 0.7735, kb_relative_information_score: 717.9149, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.5893, scimark_benchmark: 1352.2099, usercpu_time_millis: 1010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 904.3681, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 883.2709, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9693, kappa: 0.7631, kb_relative_information_score: 704.359, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9719, predictive_accuracy: 0.9678, prior_entropy: 0.3333, recall: 0.9678, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.6461, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 613.8992, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.6075, scimark_benchmark: 1111.828, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 1330.2021, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.9509, kappa: 0.5478, kb_relative_information_score: 667.082, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9559, predictive_accuracy: 0.9582, prior_entropy: 0.3333, recall: 0.9582, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.8238, scimark_benchmark: 1330.2021, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 1346.4887, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.966, kappa: 0.7034, kb_relative_information_score: 473.1665, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9687, prior_entropy: 0.3333, recall: 0.9687, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.6626, scimark_benchmark: 934.4732, usercpu_time_millis: 153470, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 151530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.9523, kappa: 0.5983, kb_relative_information_score: 603.423, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9512, predictive_accuracy: 0.9542, prior_entropy: 0.3333, recall: 0.9542, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.214, root_relative_squared_error: 0.8622, scimark_benchmark: 1331.5882, usercpu_time_millis: 4420, usercpu_time_millis_testing: 4420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.9523, kappa: 0.5983, kb_relative_information_score: 605.338, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9512, predictive_accuracy: 0.9542, prior_entropy: 0.3333, recall: 0.9542, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8625, scimark_benchmark: 1346.3935, usercpu_time_millis: 11000, usercpu_time_millis_testing: 11000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.9678, kappa: 0.7129, kb_relative_information_score: 864.6627, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9708, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.6855, scimark_benchmark: 1298.4923, usercpu_time_millis: 4770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9709, kappa: 0.7563, kb_relative_information_score: 718.0565, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9705, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.6196, scimark_benchmark: 1337.3264, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9889, kappa: 0.9116, kb_relative_information_score: 1091.3163, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9893, predictive_accuracy: 0.9887, prior_entropy: 0.3333, recall: 0.9887, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.4015, scimark_benchmark: 1301.2156, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9871, kappa: 0.8944, kb_relative_information_score: 1122.3319, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.987, predictive_accuracy: 0.9871, prior_entropy: 0.3333, recall: 0.9871, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.4248, scimark_benchmark: 1270.2428, usercpu_time_millis: 3560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9844, kappa: 0.8708, kb_relative_information_score: 1088.3166, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3333, recall: 0.9847, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.4219, scimark_benchmark: 1305.7138, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9713, kappa: 0.7448, kb_relative_information_score: 666.7528, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.975, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.6268, scimark_benchmark: 1337.6765, usercpu_time_millis: 2030, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9777, kappa: 0.8143, kb_relative_information_score: 932.9567, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9775, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2256, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.5254, scimark_benchmark: 1329.8847, usercpu_time_millis: 1360, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9751, kappa: 0.7851, kb_relative_information_score: 944.7144, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4948, scimark_benchmark: 1337.6765, usercpu_time_millis: 1370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1248.0234, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.949, kappa: 0.5761, kb_relative_information_score: 524.3644, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.948, predictive_accuracy: 0.9502, prior_entropy: 0.3333, recall: 0.9502, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8721, scimark_benchmark: 1322.408, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.949, kappa: 0.5761, kb_relative_information_score: 524.3644, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.948, predictive_accuracy: 0.9502, prior_entropy: 0.3333, recall: 0.9502, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8721, scimark_benchmark: 1360.2771, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 1319.9329, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.9171, kappa: 0.4686, kb_relative_information_score: -940.495, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9445, predictive_accuracy: 0.9019, prior_entropy: 0.3333, recall: 0.9019, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2711, root_relative_squared_error: 1.0924, scimark_benchmark: 922.1419, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.9139, kappa: 0.4589, kb_relative_information_score: -980.019, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9445, predictive_accuracy: 0.8971, prior_entropy: 0.3333, recall: 0.8971, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2731, root_relative_squared_error: 1.1005, scimark_benchmark: 1350.9691, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.9042, kappa: 0.0225, kb_relative_information_score: -890.3951, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9391, predictive_accuracy: 0.9349, prior_entropy: 0.3333, recall: 0.9349, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.9054, scimark_benchmark: 1352.1951, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9667, kappa: 0.7091, kb_relative_information_score: 585.6777, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9678, predictive_accuracy: 0.9695, prior_entropy: 0.3333, recall: 0.9695, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9687, kappa: 0.728, kb_relative_information_score: 633.9189, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9696, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.6431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.964, kappa: 0.684, kb_relative_information_score: 858.9004, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9649, predictive_accuracy: 0.967, prior_entropy: 0.3333, recall: 0.967, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.5876, scimark_benchmark: 1442.7264, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9789, kappa: 0.8263, kb_relative_information_score: 848.8017, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9787, predictive_accuracy: 0.9791, prior_entropy: 0.3333, recall: 0.9791, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.5738, scimark_benchmark: 943.1756, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.964, kappa: 0.684, kb_relative_information_score: 804.6715, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9649, predictive_accuracy: 0.967, prior_entropy: 0.3333, recall: 0.967, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.598, scimark_benchmark: 1372.2145, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.9563, kappa: 0.6064, kb_relative_information_score: 342.1879, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9587, predictive_accuracy: 0.9614, prior_entropy: 0.3333, recall: 0.9614, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.6994, scimark_benchmark: 939.5205, usercpu_time_millis: 6880, usercpu_time_millis_testing: 6880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.9616, kappa: 0.6595, kb_relative_information_score: 463.2812, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9633, predictive_accuracy: 0.9654, prior_entropy: 0.3333, recall: 0.9654, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.7175, scimark_benchmark: 940.3347, usercpu_time_millis: 6780, usercpu_time_millis_testing: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.9417, kappa: 0.4535, kb_relative_information_score: 568.2916, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9473, predictive_accuracy: 0.9518, prior_entropy: 0.3333, recall: 0.9518, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.8849, scimark_benchmark: 1312.3073, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9022, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.8725, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1325.2092, usercpu_time_millis: 5100, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9022, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.8725, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1369.9744, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9697, kappa: 0.7373, kb_relative_information_score: 443.0862, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9704, predictive_accuracy: 0.9719, prior_entropy: 0.3333, recall: 0.9719, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.6557, scimark_benchmark: 1337.7959, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.9509, kappa: 0.5478, kb_relative_information_score: 667.082, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9559, predictive_accuracy: 0.9582, prior_entropy: 0.3333, recall: 0.9582, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.8238, scimark_benchmark: 1304.9611, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.966, kappa: 0.7034, kb_relative_information_score: 502.6481, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9687, prior_entropy: 0.3333, recall: 0.9687, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6467, scimark_benchmark: 926.6704, usercpu_time_millis: 1452280, usercpu_time_millis_testing: 4400, usercpu_time_millis_training: 1447880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1363.434, usercpu_time_millis: 3640, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9755, kappa: 0.7973, kb_relative_information_score: 786.0383, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9752, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.145, root_relative_squared_error: 0.5842, scimark_benchmark: 1290.1085, usercpu_time_millis: 580, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 1376.7478, usercpu_time_millis: 11270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 11190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1336.2509, usercpu_time_millis: 770, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 837.0484, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.6787, scimark_benchmark: 1319.9043, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9785, kappa: 0.8148, kb_relative_information_score: 920.1195, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9797, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.5294, scimark_benchmark: 1306.6379, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9751, kappa: 0.7851, kb_relative_information_score: 827.2508, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.5881, scimark_benchmark: 1313.5726, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.9535, kappa: 0.5706, kb_relative_information_score: 704.1284, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9601, predictive_accuracy: 0.9606, prior_entropy: 0.3333, recall: 0.9606, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.7997, scimark_benchmark: 1386.5717, usercpu_time_millis: 1820, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9787, kappa: 0.8171, kb_relative_information_score: 1000.0939, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9795, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9867, kappa: 0.8879, kb_relative_information_score: 393.0283, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.987, predictive_accuracy: 0.9871, prior_entropy: 0.3333, recall: 0.9871, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.977, kappa: 0.8025, kb_relative_information_score: 993.8424, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9776, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9718, kappa: 0.7517, kb_relative_information_score: 788.3413, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.974, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.98, kappa: 0.8319, kb_relative_information_score: 1017.335, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.98, predictive_accuracy: 0.9807, prior_entropy: 0.3333, recall: 0.9807, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.4571,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs