OpenML
Supervised Classification on sick

Supervised Classification on sick

Task 3024 Supervised Classification sick 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9783, kappa: 0.8104, kb_relative_information_score: 24837.9919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8286, kb_relative_information_score: 19744.4279, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.3333, recall: 0.98, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012, scimark_benchmark: 972.587, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9803, kappa: 0.8229, kb_relative_information_score: 20038.7296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.981, prior_entropy: 0.3333, recall: 0.981, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.503, scimark_benchmark: 851.2074, usercpu_time_millis: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 931.771, usercpu_time_millis: 4370, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9863, kappa: 0.8774, kb_relative_information_score: 28473.0931, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4127, scimark_benchmark: 941.6675, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9678, kappa: 0.7041, kb_relative_information_score: 13283.8316, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9675, predictive_accuracy: 0.9696, prior_entropy: 0.3333, recall: 0.9696, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6501, scimark_benchmark: 943.8235, usercpu_time_millis: 1317480, usercpu_time_millis_testing: 5080, usercpu_time_millis_training: 1312400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9784, kappa: 0.8084, kb_relative_information_score: 24162.12, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9789, prior_entropy: 0.3333, recall: 0.9789, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.5729, scimark_benchmark: 974.2014, usercpu_time_millis: 11070, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9826, kappa: 0.8424, kb_relative_information_score: 24830.74, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.983, predictive_accuracy: 0.9834, prior_entropy: 0.3333, recall: 0.9834, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4602, scimark_benchmark: 947.1781, usercpu_time_millis: 1110, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9783, kappa: 0.8104, kb_relative_information_score: 24837.9919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 819.5729, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8288, kb_relative_information_score: 19723.7527, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5013, scimark_benchmark: 935.2002, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9803, kappa: 0.8229, kb_relative_information_score: 20038.7296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.981, prior_entropy: 0.3333, recall: 0.981, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.503, scimark_benchmark: 906.5979, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 932.438, usercpu_time_millis: 4340, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 934.5964, usercpu_time_millis: 4100, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 2790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 938.1282, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9863, kappa: 0.8774, kb_relative_information_score: 28473.0931, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4127, scimark_benchmark: 933.3455, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9678, kappa: 0.7041, kb_relative_information_score: 13283.8316, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9675, predictive_accuracy: 0.9696, prior_entropy: 0.3333, recall: 0.9696, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6501, scimark_benchmark: 906.0979, usercpu_time_millis: 1302240, usercpu_time_millis_testing: 4570, usercpu_time_millis_training: 1297670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 944.0133, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9784, kappa: 0.8084, kb_relative_information_score: 24162.12, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9789, prior_entropy: 0.3333, recall: 0.9789, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.5729, scimark_benchmark: 936.3213, usercpu_time_millis: 7110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9826, kappa: 0.8424, kb_relative_information_score: 24830.74, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.983, predictive_accuracy: 0.9834, prior_entropy: 0.3333, recall: 0.9834, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4602, scimark_benchmark: 1051.249, usercpu_time_millis: 1350, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9893, kappa: 0.9059, kb_relative_information_score: 29120.2056, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9893, predictive_accuracy: 0.9895, prior_entropy: 0.3333, recall: 0.9895, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3587, scimark_benchmark: 833.4972, usercpu_time_millis: 78380, usercpu_time_millis_testing: 43620, usercpu_time_millis_training: 34760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9897, kappa: 0.9088, kb_relative_information_score: 29152.4516, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9896, predictive_accuracy: 0.9898, prior_entropy: 0.3333, recall: 0.9898, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.3583, scimark_benchmark: 904.5548, usercpu_time_millis: 27910, usercpu_time_millis_testing: 9900, usercpu_time_millis_training: 18010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.989, kappa: 0.9033, kb_relative_information_score: 28932.8625, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.989, predictive_accuracy: 0.9892, prior_entropy: 0.3333, recall: 0.9892, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3642, scimark_benchmark: 928.7131, usercpu_time_millis: 12500, usercpu_time_millis_testing: 3440, usercpu_time_millis_training: 9060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.989, kappa: 0.903, kb_relative_information_score: 28947.6045, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.989, predictive_accuracy: 0.9892, prior_entropy: 0.3333, recall: 0.9892, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.088, root_relative_squared_error: 0.3672, scimark_benchmark: 935.0213, usercpu_time_millis: 5480, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9885, kappa: 0.8986, kb_relative_information_score: 28258.1006, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9885, predictive_accuracy: 0.9887, prior_entropy: 0.3333, recall: 0.9887, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3783, scimark_benchmark: 889.4922, usercpu_time_millis: 2870, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9705, kappa: 0.736, kb_relative_information_score: 23147.1909, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9701, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6054, scimark_benchmark: 894.7131, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9705, kappa: 0.736, kb_relative_information_score: 23147.1909, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9701, predictive_accuracy: 0.9714, prior_entropy: 0.3333, recall: 0.9714, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6054, scimark_benchmark: 894.7131, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1324.6442, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9863, kappa: 0.8774, kb_relative_information_score: 28473.0931, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4127, scimark_benchmark: 1324.6442, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8286, kb_relative_information_score: 19744.4279, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.3333, recall: 0.98, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012, scimark_benchmark: 1319.4538, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9678, kappa: 0.7041, kb_relative_information_score: 13283.7906, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9675, predictive_accuracy: 0.9696, prior_entropy: 0.3333, recall: 0.9696, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.6501, scimark_benchmark: 1338.6772, usercpu_time_millis: 928950, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 925660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 1342.8584, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1306.8702, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1333.0982, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1346.4374, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1346.4374, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9863, kappa: 0.8774, kb_relative_information_score: 28473.0931, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4127, scimark_benchmark: 1342.2845, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1332.9478, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9784, kappa: 0.8084, kb_relative_information_score: 24162.12, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9789, prior_entropy: 0.3333, recall: 0.9789, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.5729, scimark_benchmark: 1330.9181, usercpu_time_millis: 10110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9783, kappa: 0.8104, kb_relative_information_score: 24837.9919, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5704, scimark_benchmark: 1333.0982, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 18793.3566, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.6534, scimark_benchmark: 1320.1171, usercpu_time_millis: 39520, usercpu_time_millis_testing: 39510, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9803, kappa: 0.8229, kb_relative_information_score: 20038.7296, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.981, prior_entropy: 0.3333, recall: 0.981, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.503, scimark_benchmark: 1321.8321, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9863, kappa: 0.8774, kb_relative_information_score: 28473.0931, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3333, recall: 0.9867, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.4127, scimark_benchmark: 1317.2327, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1337.4384, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9802, kappa: 0.8286, kb_relative_information_score: 19744.4279, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9803, predictive_accuracy: 0.98, prior_entropy: 0.3333, recall: 0.98, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5012, scimark_benchmark: 1323.4116, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9826, kappa: 0.8424, kb_relative_information_score: 24830.74, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.983, predictive_accuracy: 0.9834, prior_entropy: 0.3333, recall: 0.9834, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4602, scimark_benchmark: 1360.6367, usercpu_time_millis: 840, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.9113, kappa: 0.0338, kb_relative_information_score: 8967.31, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.91, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343, scimark_benchmark: 1341.3551, usercpu_time_millis: 3790, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9705, kappa: 0.7511, kb_relative_information_score: 13302.4093, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9717, predictive_accuracy: 0.9697, prior_entropy: 0.3333, recall: 0.9697, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9826, kappa: 0.8424, kb_relative_information_score: 24830.74, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.983, predictive_accuracy: 0.9834, prior_entropy: 0.3333, recall: 0.9834, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4602, scimark_benchmark: 942.9708, usercpu_time_millis: 1110, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9739, kappa: 0.7763, kb_relative_information_score: 17309.8776, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.6348, scimark_benchmark: 932.5646, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,

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