Task
Supervised Classification on lymphoma_2classes

Supervised Classification on lymphoma_2classes

Task 4643 Supervised Classification lymphoma_2classes 185 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7264, kappa: 0.4541, kb_relative_information_score: 194.7467, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7288, predictive_accuracy: 0.7267, prior_entropy: 0.9997, recall: 0.7267, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0371, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9089, kappa: 0.8176, kb_relative_information_score: 318.4642, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5187, scimark_benchmark: 972.587, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8533, kappa: 0.7065, kb_relative_information_score: 303.4282, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8533, predictive_accuracy: 0.8533, prior_entropy: 0.9997, recall: 0.8533, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.687, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9666, kappa: 0.9332, kb_relative_information_score: 420.8119, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 0.9997, recall: 0.9667, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8577, kappa: 0.7152, kb_relative_information_score: 183.8553, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8579, predictive_accuracy: 0.8578, prior_entropy: 0.9997, recall: 0.8578, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7178, scimark_benchmark: 938.191, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -2.9873, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0061, scimark_benchmark: 941.6675, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 944.1067, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 944.1783, usercpu_time_millis: 870, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9666, kappa: 0.9332, kb_relative_information_score: 420.8119, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 0.9997, recall: 0.9667, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 932.438, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 947.1781, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7264, kappa: 0.4541, kb_relative_information_score: 194.7467, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7288, predictive_accuracy: 0.7267, prior_entropy: 0.9997, recall: 0.7267, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0371, scimark_benchmark: 942.2392, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9089, kappa: 0.8176, kb_relative_information_score: 318.6416, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5183, scimark_benchmark: 901.6243, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8533, kappa: 0.7065, kb_relative_information_score: 303.4282, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8533, predictive_accuracy: 0.8533, prior_entropy: 0.9997, recall: 0.8533, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.687, scimark_benchmark: 944.0133, usercpu_time_millis: 1860, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 945.6228, usercpu_time_millis: 910, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 934.5964, usercpu_time_millis: 1260, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8577, kappa: 0.7152, kb_relative_information_score: 183.8553, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8579, predictive_accuracy: 0.8578, prior_entropy: 0.9997, recall: 0.8578, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7178, scimark_benchmark: 941.4991, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -2.9873, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0061, scimark_benchmark: 941.4991, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 936.2574, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 938.988, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9131, kappa: 0.8263, kb_relative_information_score: 251.5266, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9156, predictive_accuracy: 0.9133, prior_entropy: 0.9997, recall: 0.9133, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.5998, scimark_benchmark: 919.3788, usercpu_time_millis: 297710, usercpu_time_millis_testing: 135960, usercpu_time_millis_training: 161750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9043, kappa: 0.8085, kb_relative_information_score: 248.4012, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9057, predictive_accuracy: 0.9044, prior_entropy: 0.9997, recall: 0.9044, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6093, scimark_benchmark: 935.0213, usercpu_time_millis: 71490, usercpu_time_millis_testing: 31270, usercpu_time_millis_training: 40220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8933, kappa: 0.7864, kb_relative_information_score: 248.1961, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8936, predictive_accuracy: 0.8933, prior_entropy: 0.9997, recall: 0.8933, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6331, scimark_benchmark: 920.5394, usercpu_time_millis: 28530, usercpu_time_millis_testing: 12510, usercpu_time_millis_training: 16020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9467, kappa: 0.8933, kb_relative_information_score: 402.0339, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.9997, recall: 0.9467, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4585, scimark_benchmark: 889.4922, usercpu_time_millis: 10240, usercpu_time_millis_training: 10240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 396.0409, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 0.9997, recall: 0.94, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4842, scimark_benchmark: 938.3115, usercpu_time_millis: 5000, usercpu_time_millis_training: 5000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9333, kappa: 0.8666, kb_relative_information_score: 387.0632, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5145, scimark_benchmark: 936.7184, usercpu_time_millis: 2460, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9111, kappa: 0.8222, kb_relative_information_score: 371.6574, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9113, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5589, scimark_benchmark: 941.9549, usercpu_time_millis: 1250, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9111, kappa: 0.8223, kb_relative_information_score: 368.707, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9124, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5509, scimark_benchmark: 941.9549, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -1.6662, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0027, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 409.8367, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.21, root_relative_squared_error: 0.42, scimark_benchmark: 929.0296, usercpu_time_millis: 10510, usercpu_time_millis_training: 10510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 412.378, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 0.9997, recall: 0.9578, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4015, scimark_benchmark: 929.0296, usercpu_time_millis: 5050, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9289, kappa: 0.8577, kb_relative_information_score: 386.0124, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 0.9997, recall: 0.9289, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5245, scimark_benchmark: 929.0296, usercpu_time_millis: 2500, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9222, kappa: 0.8444, kb_relative_information_score: 376.6498, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9223, predictive_accuracy: 0.9222, prior_entropy: 0.9997, recall: 0.9222, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5522, scimark_benchmark: 941.9549, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8755, kappa: 0.7513, kb_relative_information_score: 342.2225, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8772, predictive_accuracy: 0.8756, prior_entropy: 0.9997, recall: 0.8756, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6504, scimark_benchmark: 929.0296, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -50.3398, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.1116, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7454, root_relative_squared_error: 1.4911, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8754, kappa: 0.7507, kb_relative_information_score: 193.3263, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8765, predictive_accuracy: 0.8756, prior_entropy: 0.9997, recall: 0.8756, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6868, scimark_benchmark: 929.0296, usercpu_time_millis: 4450, usercpu_time_millis_training: 4450,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8065, kappa: 0.6128, kb_relative_information_score: 273.0373, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.807, predictive_accuracy: 0.8067, prior_entropy: 0.9997, recall: 0.8067, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8271, scimark_benchmark: 1317.071, usercpu_time_millis: 1051580, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1051540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9666, kappa: 0.9332, kb_relative_information_score: 420.8119, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 0.9997, recall: 0.9667, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1337.9552, usercpu_time_millis: 8680, usercpu_time_millis_testing: 5800, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1347.1763, usercpu_time_millis: 8000, usercpu_time_millis_testing: 4700, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1316.5668, usercpu_time_millis: 8090, usercpu_time_millis_testing: 5070, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1310.3168, usercpu_time_millis: 8350, usercpu_time_millis_testing: 5670, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9089, kappa: 0.8176, kb_relative_information_score: 318.4642, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9089, predictive_accuracy: 0.9089, prior_entropy: 0.9997, recall: 0.9089, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5187, scimark_benchmark: 1345.5961, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 1307.9497, usercpu_time_millis: 1070, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1332.7986, usercpu_time_millis: 8350, usercpu_time_millis_testing: 4940, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1327.3335, usercpu_time_millis: 7450, usercpu_time_millis_testing: 5140, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 1393.8432, usercpu_time_millis: 270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 1309.2287, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 388.5972, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3522, scimark_benchmark: 1342.8584, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8511, kappa: 0.702, kb_relative_information_score: 302.1555, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.8511, predictive_accuracy: 0.8511, prior_entropy: 0.9997, recall: 0.8511, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6901, scimark_benchmark: 1342.2845, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1334.9442, usercpu_time_millis: 7940, usercpu_time_millis_testing: 4920, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 1296.9979, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7264, kappa: 0.4541, kb_relative_information_score: 194.7467, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7288, predictive_accuracy: 0.7267, prior_entropy: 0.9997, recall: 0.7267, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0371, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1350.1007, usercpu_time_millis: 7910, usercpu_time_millis_testing: 4920, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1321.4771, usercpu_time_millis: 7520, usercpu_time_millis_testing: 4890, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 1333.4283, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1346.2927, usercpu_time_millis: 8170, usercpu_time_millis_testing: 5300, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9178, kappa: 0.8357, kb_relative_information_score: 375.9386, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9193, predictive_accuracy: 0.9178, prior_entropy: 0.9997, recall: 0.9178, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.5736, scimark_benchmark: 929.0363, usercpu_time_millis: 880, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1347.993, usercpu_time_millis: 8250, usercpu_time_millis_testing: 5640, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 1354.3488, usercpu_time_millis: 300, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 1260.1387, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9733, kappa: 0.9466, kb_relative_information_score: 423.7574, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9739, predictive_accuracy: 0.9733, prior_entropy: 0.9997, recall: 0.9733, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3288, scimark_benchmark: 1281.7531, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9199, kappa: 0.8398, kb_relative_information_score: 135.3347, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9997, recall: 0.92, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7779, scimark_benchmark: 1322.7257, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7264, kappa: 0.4541, kb_relative_information_score: 194.7467, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.7288, predictive_accuracy: 0.7267, prior_entropy: 0.9997, recall: 0.7267, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0371, scimark_benchmark: 1384.4422, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9533, kappa: 0.9066, kb_relative_information_score: 406.8217, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4998, number_of_instances: 450, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.9997, recall: 0.9533, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4011, scimark_benchmark: 1341.5795, usercpu_time_millis: 8390, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 3330,

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