OpenML
Supervised Classification on white-clover

Supervised Classification on white-clover

Task 4577 Supervised Classification white-clover 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.6148, kappa: 0.2098, kb_relative_information_score: 82.6403, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6235, predictive_accuracy: 0.6111, prior_entropy: 0.971, recall: 0.6111, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1146, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6867, kappa: 0.342, kb_relative_information_score: 161.3226, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6856, predictive_accuracy: 0.6889, prior_entropy: 0.971, recall: 0.6889, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9729, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6747, kappa: 0.3207, kb_relative_information_score: 187.7913, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6748, predictive_accuracy: 0.6746, prior_entropy: 0.971, recall: 0.6746, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0568, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.667, kappa: 0.2988, kb_relative_information_score: 100.9895, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6659, predictive_accuracy: 0.6714, prior_entropy: 0.971, recall: 0.6714, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9416, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.771, kappa: 0.5173, kb_relative_information_score: 255.0291, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7727, predictive_accuracy: 0.7746, prior_entropy: 0.971, recall: 0.7746, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8267, scimark_benchmark: 936.8075, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6508, kappa: 0.2705, kb_relative_information_score: 152.2922, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 0.971, recall: 0.6508, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0626, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7726, kappa: 0.52, kb_relative_information_score: 159.1929, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.971, recall: 0.7778, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8554, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7726, kappa: 0.52, kb_relative_information_score: 159.1929, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.971, recall: 0.7778, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8554, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.6148, kappa: 0.2098, kb_relative_information_score: 82.6403, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6235, predictive_accuracy: 0.6111, prior_entropy: 0.971, recall: 0.6111, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.1146, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6867, kappa: 0.342, kb_relative_information_score: 161.3226, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6856, predictive_accuracy: 0.6889, prior_entropy: 0.971, recall: 0.6889, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9729, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6747, kappa: 0.3207, kb_relative_information_score: 187.7913, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6748, predictive_accuracy: 0.6746, prior_entropy: 0.971, recall: 0.6746, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.517, root_relative_squared_error: 1.0568, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.667, kappa: 0.2988, kb_relative_information_score: 100.9895, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6659, predictive_accuracy: 0.6714, prior_entropy: 0.971, recall: 0.6714, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9416, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.771, kappa: 0.5173, kb_relative_information_score: 255.0291, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7727, predictive_accuracy: 0.7746, prior_entropy: 0.971, recall: 0.7746, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8267, scimark_benchmark: 763.3895, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6508, kappa: 0.2705, kb_relative_information_score: 152.2922, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 0.971, recall: 0.6508, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0626, scimark_benchmark: 941.3057, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7726, kappa: 0.52, kb_relative_information_score: 159.1929, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.971, recall: 0.7778, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8554, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7593, kappa: 0.4919, kb_relative_information_score: 197.7673, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7639, predictive_accuracy: 0.7651, prior_entropy: 0.971, recall: 0.7651, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8139, scimark_benchmark: 934.7923, usercpu_time_millis: 1520, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7617, kappa: 0.4971, kb_relative_information_score: 197.9188, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.765, predictive_accuracy: 0.7667, prior_entropy: 0.971, recall: 0.7667, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.817, scimark_benchmark: 938.4601, usercpu_time_millis: 750, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7758, kappa: 0.5269, kb_relative_information_score: 198.1547, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7805, predictive_accuracy: 0.781, prior_entropy: 0.971, recall: 0.781, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8219, scimark_benchmark: 901.6243, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7625, kappa: 0.4987, kb_relative_information_score: 192.9692, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7673, predictive_accuracy: 0.7683, prior_entropy: 0.971, recall: 0.7683, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8344, scimark_benchmark: 896.2424, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7321, kappa: 0.4347, kb_relative_information_score: 182.7303, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7349, predictive_accuracy: 0.7381, prior_entropy: 0.971, recall: 0.7381, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8664, scimark_benchmark: 921.466, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7213, kappa: 0.4142, kb_relative_information_score: 240.1977, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7207, predictive_accuracy: 0.7238, prior_entropy: 0.971, recall: 0.7238, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9994, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7213, kappa: 0.4142, kb_relative_information_score: 240.1977, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7207, predictive_accuracy: 0.7238, prior_entropy: 0.971, recall: 0.7238, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9994, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7199, kappa: 0.4113, kb_relative_information_score: 238.4869, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7192, predictive_accuracy: 0.7222, prior_entropy: 0.971, recall: 0.7222, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.0013, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7176, kappa: 0.4059, kb_relative_information_score: 234.3337, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7171, predictive_accuracy: 0.7206, prior_entropy: 0.971, recall: 0.7206, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9986, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.7177, kappa: 0.4078, kb_relative_information_score: 221.0702, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7169, predictive_accuracy: 0.719, prior_entropy: 0.971, recall: 0.719, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9939, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4274, f_measure: 0.4539, kb_relative_information_score: -2.242, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4902, root_relative_squared_error: 1.0019, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7263, kappa: 0.4247, kb_relative_information_score: 269.0111, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7256, predictive_accuracy: 0.7286, prior_entropy: 0.971, recall: 0.7286, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0254, scimark_benchmark: 941.9549, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6508, kappa: 0.2705, kb_relative_information_score: 152.2922, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 0.971, recall: 0.6508, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0626, scimark_benchmark: 1306.9281, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7726, kappa: 0.52, kb_relative_information_score: 159.1929, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.971, recall: 0.7778, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8554, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6867, kappa: 0.342, kb_relative_information_score: 161.3226, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6856, predictive_accuracy: 0.6889, prior_entropy: 0.971, recall: 0.6889, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9729, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6684, kappa: 0.3075, kb_relative_information_score: 180.8142, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6685, predictive_accuracy: 0.6683, prior_entropy: 0.971, recall: 0.6683, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0654, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 1345.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1331.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.667, kappa: 0.2988, kb_relative_information_score: 100.9895, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6659, predictive_accuracy: 0.6714, prior_entropy: 0.971, recall: 0.6714, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9416, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6508, kappa: 0.2705, kb_relative_information_score: 152.2922, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 0.971, recall: 0.6508, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0626, scimark_benchmark: 1338.0691, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6971, kappa: 0.368, kb_relative_information_score: 175.5709, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6975, predictive_accuracy: 0.6968, prior_entropy: 0.971, recall: 0.6968, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9681, scimark_benchmark: 1404.0159, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4539, kb_relative_information_score: 98.6719, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.3638, predictive_accuracy: 0.6032, prior_entropy: 0.971, recall: 0.6032, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2876, scimark_benchmark: 1311.7006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.6943, kappa: 0.3631, kb_relative_information_score: 162.1095, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6937, prior_entropy: 0.971, recall: 0.6937, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9826, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6508, kappa: 0.2705, kb_relative_information_score: 152.2922, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 0.971, recall: 0.6508, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0626, scimark_benchmark: 942.9708, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.6952, kappa: 0.3634, kb_relative_information_score: 176.2167, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6952, predictive_accuracy: 0.6952, prior_entropy: 0.971, recall: 0.6952, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.97, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6665, kappa: 0.3149, kb_relative_information_score: 148.176, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4794, number_of_instances: 630, precision: 0.6743, predictive_accuracy: 0.6635, prior_entropy: 0.971, recall: 0.6635, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4893, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0877, scimark_benchmark: 1280.6338,

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