Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 1774 Supervised Classification lymph 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7557, kappa: 0.5384, kb_relative_information_score: 363.3393, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8836, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7749, kappa: 0.5762, kb_relative_information_score: 383.6639, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7728, predictive_accuracy: 0.7797, prior_entropy: 1.2818, recall: 0.7797, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.84, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7663, kappa: 0.5729, kb_relative_information_score: 385.8419, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7633, predictive_accuracy: 0.7878, prior_entropy: 1.2818, recall: 0.7878, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8949, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7509, kappa: 0.5381, kb_relative_information_score: 299.8041, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7408, predictive_accuracy: 0.7649, prior_entropy: 1.2818, recall: 0.7649, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 931.771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7663, kappa: 0.5729, kb_relative_information_score: 385.8419, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7633, predictive_accuracy: 0.7878, prior_entropy: 1.2818, recall: 0.7878, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8949, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 937.5117, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7557, kappa: 0.5384, kb_relative_information_score: 363.3393, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8836, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7749, kappa: 0.5762, kb_relative_information_score: 383.6639, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7728, predictive_accuracy: 0.7797, prior_entropy: 1.2818, recall: 0.7797, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.84, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7663, kappa: 0.5729, kb_relative_information_score: 385.8419, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7633, predictive_accuracy: 0.7878, prior_entropy: 1.2818, recall: 0.7878, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8949, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7509, kappa: 0.5381, kb_relative_information_score: 299.8041, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7408, predictive_accuracy: 0.7649, prior_entropy: 1.2818, recall: 0.7649, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 935.5664, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8138, kappa: 0.6516, kb_relative_information_score: 379.7572, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8103, predictive_accuracy: 0.8203, prior_entropy: 1.2818, recall: 0.8203, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.6892, scimark_benchmark: 851.2074, usercpu_time_millis: 2620, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8132, kappa: 0.6495, kb_relative_information_score: 379.3242, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8117, predictive_accuracy: 0.8203, prior_entropy: 1.2818, recall: 0.8203, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.6873, scimark_benchmark: 931.9419, usercpu_time_millis: 1090, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.812, kappa: 0.6493, kb_relative_information_score: 379.5925, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8076, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.252, root_relative_squared_error: 0.6924, scimark_benchmark: 935.0213, usercpu_time_millis: 520, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8094, kappa: 0.6426, kb_relative_information_score: 379.3592, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8067, predictive_accuracy: 0.8162, prior_entropy: 1.2818, recall: 0.8162, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.7016, scimark_benchmark: 939.7883, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.7969, kappa: 0.6186, kb_relative_information_score: 368.1649, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7949, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.721, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3872, kb_relative_information_score: -2.9371, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6714, kappa: 0.3877, kb_relative_information_score: 107.9022, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.6617, predictive_accuracy: 0.6838, prior_entropy: 1.2818, recall: 0.6838, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.9305, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.692, kappa: 0.4255, kb_relative_information_score: 214.5194, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.6779, predictive_accuracy: 0.7068, prior_entropy: 1.2818, recall: 0.7068, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.9245, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.6942, kappa: 0.4308, kb_relative_information_score: 222.0195, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.6811, predictive_accuracy: 0.7081, prior_entropy: 1.2818, recall: 0.7081, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.9422, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.693, kappa: 0.4287, kb_relative_information_score: 230.5601, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.6803, predictive_accuracy: 0.7068, prior_entropy: 1.2818, recall: 0.7068, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9529, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7181, kappa: 0.4788, kb_relative_information_score: 283.1233, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7049, predictive_accuracy: 0.7324, prior_entropy: 1.2818, recall: 0.7324, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.9543, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3872, kb_relative_information_score: 100.4383, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.3072, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7555, kappa: 0.5413, kb_relative_information_score: 345.8129, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7509, predictive_accuracy: 0.7608, prior_entropy: 1.2818, recall: 0.7608, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.8419, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.784, kappa: 0.5964, kb_relative_information_score: 327.2826, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7799, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.7681, scimark_benchmark: 933.0918, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7364, kappa: 0.5121, kb_relative_information_score: 201.5288, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7256, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8236, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7557, kappa: 0.5384, kb_relative_information_score: 363.3393, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8836, scimark_benchmark: 923.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7749, kappa: 0.5762, kb_relative_information_score: 383.6639, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7728, predictive_accuracy: 0.7797, prior_entropy: 1.2818, recall: 0.7797, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.84, scimark_benchmark: 1253.0071, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 1364.5528, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7509, kappa: 0.5381, kb_relative_information_score: 299.8041, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7408, predictive_accuracy: 0.7649, prior_entropy: 1.2818, recall: 0.7649, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995, scimark_benchmark: 1299.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 1350.1007, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7557, kappa: 0.5384, kb_relative_information_score: 363.3393, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8836, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 1373.7859, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 1333.202, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7663, kappa: 0.5729, kb_relative_information_score: 385.8419, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7633, predictive_accuracy: 0.7878, prior_entropy: 1.2818, recall: 0.7878, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8949, scimark_benchmark: 1299.9304, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 1347.993, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8121, kappa: 0.647, kb_relative_information_score: 359.4501, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8226, predictive_accuracy: 0.8189, prior_entropy: 1.2818, recall: 0.8189, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.7072, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7557, kappa: 0.5384, kb_relative_information_score: 363.3393, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.756, predictive_accuracy: 0.7554, prior_entropy: 1.2818, recall: 0.7554, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8836, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8227, kappa: 0.6691, kb_relative_information_score: 480.8758, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.825, predictive_accuracy: 0.823, prior_entropy: 1.2818, recall: 0.823, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7003, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7877, kappa: 0.5965, kb_relative_information_score: 420.5578, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7888, predictive_accuracy: 0.7892, prior_entropy: 1.2818, recall: 0.7892, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7864, scimark_benchmark: 918.0213, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8227, kappa: 0.6691, kb_relative_information_score: 480.8758, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.825, predictive_accuracy: 0.823, prior_entropy: 1.2818, recall: 0.823, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7003, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.6841, kappa: 0.4065, kb_relative_information_score: 262.5451, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.6971, predictive_accuracy: 0.6905, prior_entropy: 1.2818, recall: 0.6905, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8788, scimark_benchmark: 1313.5052, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7663, kappa: 0.5729, kb_relative_information_score: 385.8419, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.7633, predictive_accuracy: 0.7878, prior_entropy: 1.2818, recall: 0.7878, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.8949, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8479, kappa: 0.7119, kb_relative_information_score: 485.9455, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2677, number_of_instances: 740, precision: 0.8489, predictive_accuracy: 0.8486, prior_entropy: 1.2818, recall: 0.8486, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.243, root_relative_squared_error: 0.6676, scimark_benchmark: 1350.073,

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