Task
Supervised Classification on leukemia

Supervised Classification on leukemia

Task 4645 Supervised Classification leukemia 164 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9241, kappa: 0.8295, kb_relative_information_score: 505.6429, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9331, predictive_accuracy: 0.9264, prior_entropy: 0.9353, recall: 0.9264, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8348, kappa: 0.6357, kb_relative_information_score: 436.238, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8349, predictive_accuracy: 0.8347, prior_entropy: 0.9353, recall: 0.8347, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8434, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.0048, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4004, scimark_benchmark: 972.587, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9567, kappa: 0.9039, kb_relative_information_score: 638.2259, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 0.9353, recall: 0.9569, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3816, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9394, kappa: 0.8648, kb_relative_information_score: 509.0363, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9416, predictive_accuracy: 0.9403, prior_entropy: 0.9353, recall: 0.9403, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.475, scimark_benchmark: 938.191, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: 56.228, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0325, scimark_benchmark: 941.6675, usercpu_time_millis: 520, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9693, kappa: 0.9318, kb_relative_information_score: 667.1443, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9353, recall: 0.9694, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3644, scimark_benchmark: 931.771, usercpu_time_millis: 1508100, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1507980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 944.1783, usercpu_time_millis: 3480, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8907, kappa: 0.7534, kb_relative_information_score: 303.1355, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9091, predictive_accuracy: 0.8958, prior_entropy: 0.9353, recall: 0.8958, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.688, scimark_benchmark: 947.1781, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8348, kappa: 0.6357, kb_relative_information_score: 436.238, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8349, predictive_accuracy: 0.8347, prior_entropy: 0.9353, recall: 0.8347, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8434, scimark_benchmark: 942.2392, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.03, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4004, scimark_benchmark: 901.6243, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9567, kappa: 0.9039, kb_relative_information_score: 638.2259, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 0.9353, recall: 0.9569, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3816, scimark_benchmark: 938.1282, usercpu_time_millis: 7090, usercpu_time_millis_training: 7090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 945.6228, usercpu_time_millis: 2930, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 906.0979, usercpu_time_millis: 2530, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9394, kappa: 0.8648, kb_relative_information_score: 509.0363, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9416, predictive_accuracy: 0.9403, prior_entropy: 0.9353, recall: 0.9403, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.475, scimark_benchmark: 933.3455, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: 56.228, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0325, scimark_benchmark: 941.4991, usercpu_time_millis: 610, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9693, kappa: 0.9318, kb_relative_information_score: 667.1443, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9353, recall: 0.9694, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3644, scimark_benchmark: 936.2574, usercpu_time_millis: 1577400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1577300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8907, kappa: 0.7534, kb_relative_information_score: 303.1355, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9091, predictive_accuracy: 0.8958, prior_entropy: 0.9353, recall: 0.8958, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.688, scimark_benchmark: 1051.249, usercpu_time_millis: 760, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9265, kappa: 0.8358, kb_relative_information_score: 524.6471, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9295, predictive_accuracy: 0.9278, prior_entropy: 0.9353, recall: 0.9278, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4639, scimark_benchmark: 910.2405, usercpu_time_millis: 280780, usercpu_time_millis_testing: 129020, usercpu_time_millis_training: 151760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9242, kappa: 0.8314, kb_relative_information_score: 512.3406, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 0.9353, recall: 0.925, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.5099, scimark_benchmark: 914.3583, usercpu_time_millis: 164870, usercpu_time_millis_testing: 75250, usercpu_time_millis_training: 89620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9707, kappa: 0.9352, kb_relative_information_score: 669.0232, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3589, scimark_benchmark: 926.5859, usercpu_time_millis: 27000, usercpu_time_millis_training: 27000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9707, kappa: 0.9352, kb_relative_information_score: 669.2911, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3585, scimark_benchmark: 894.7131, usercpu_time_millis: 13570, usercpu_time_millis_training: 13570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9707, kappa: 0.9352, kb_relative_information_score: 667.7582, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3598, scimark_benchmark: 926.5859, usercpu_time_millis: 6910, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9665, kappa: 0.9256, kb_relative_information_score: 662.4222, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 0.9353, recall: 0.9667, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3712, scimark_benchmark: 929.0296, usercpu_time_millis: 3490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9665, kappa: 0.9256, kb_relative_information_score: 662.64, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9669, predictive_accuracy: 0.9667, prior_entropy: 0.9353, recall: 0.9667, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3652, scimark_benchmark: 926.5859, usercpu_time_millis: 1690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.5156, kb_relative_information_score: -3.6285, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0019, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9707, kappa: 0.935, kb_relative_information_score: 668.8216, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 0.9353, recall: 0.9708, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.359, scimark_benchmark: 929.0296, usercpu_time_millis: 27780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 27770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9651, kappa: 0.9226, kb_relative_information_score: 660.3724, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9654, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3893, scimark_benchmark: 936.1714, usercpu_time_millis: 13710, usercpu_time_millis_training: 13710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9651, kappa: 0.9228, kb_relative_information_score: 660.1584, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3858, scimark_benchmark: 936.1714, usercpu_time_millis: 6880, usercpu_time_millis_training: 6880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9649, kappa: 0.922, kb_relative_information_score: 659.2076, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9661, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3866, scimark_benchmark: 940.0055, usercpu_time_millis: 3420, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.9287, kappa: 0.8418, kb_relative_information_score: 599.2556, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9289, predictive_accuracy: 0.9292, prior_entropy: 0.9353, recall: 0.9292, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5406, scimark_benchmark: 935.6052, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8279, kappa: 0.6244, kb_relative_information_score: 423.2136, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8309, predictive_accuracy: 0.8264, prior_entropy: 0.9353, recall: 0.8264, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8599, scimark_benchmark: 922.8232, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9452, kappa: 0.8779, kb_relative_information_score: 402.8423, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9467, predictive_accuracy: 0.9458, prior_entropy: 0.9353, recall: 0.9458, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.578, scimark_benchmark: 929.0296, usercpu_time_millis: 15050, usercpu_time_millis_training: 15050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.5854, kappa: 0.0835, kb_relative_information_score: 38.9812, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.6136, predictive_accuracy: 0.6542, prior_entropy: 0.9353, recall: 0.6542, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9951, scimark_benchmark: 931.7994, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.03, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4004, scimark_benchmark: 906.0994, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9345, kappa: 0.8551, kb_relative_information_score: 593.879, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9345, predictive_accuracy: 0.9347, prior_entropy: 0.9353, recall: 0.9347, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.488, scimark_benchmark: 1318.6467, usercpu_time_millis: 2790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 1307.9497, usercpu_time_millis: 3620, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9394, kappa: 0.8648, kb_relative_information_score: 509.0363, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9416, predictive_accuracy: 0.9403, prior_entropy: 0.9353, recall: 0.9403, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.475, scimark_benchmark: 1292.1745, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8907, kappa: 0.7534, kb_relative_information_score: 303.1355, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9091, predictive_accuracy: 0.8958, prior_entropy: 0.9353, recall: 0.8958, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.688, scimark_benchmark: 1357.7543, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5156, kb_relative_information_score: 146.8967, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.4261, predictive_accuracy: 0.6528, prior_entropy: 0.9353, recall: 0.6528, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.2377, scimark_benchmark: 929.0363, usercpu_time_millis: 3170, usercpu_time_millis_testing: 1550, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9693, kappa: 0.9318, kb_relative_information_score: 667.1443, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9353, recall: 0.9694, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3644, scimark_benchmark: 1281.7531, usercpu_time_millis: 1895080, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1894720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8245, kappa: 0.6118, kb_relative_information_score: 430.7084, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8241, predictive_accuracy: 0.825, prior_entropy: 0.9353, recall: 0.825, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8712, scimark_benchmark: 1326.8946, usercpu_time_millis: 11370, usercpu_time_millis_training: 11370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 675.9547, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9353, recall: 0.975, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3322, scimark_benchmark: 932.5646, usercpu_time_millis: 530, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 675.9547, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9353, recall: 0.975, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3322, scimark_benchmark: 918.0213, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9567, kappa: 0.9039, kb_relative_information_score: 638.2259, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 0.9353, recall: 0.9569, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3816, scimark_benchmark: 1059.8591, usercpu_time_millis: 5590, usercpu_time_millis_training: 5590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9465, kappa: 0.8809, kb_relative_information_score: 500.4941, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9483, predictive_accuracy: 0.9472, prior_entropy: 0.9353, recall: 0.9472, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.457, scimark_benchmark: 1329.4762, usercpu_time_millis: 8480, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 675.9547, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9353, recall: 0.975, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3322, scimark_benchmark: 1347.917, usercpu_time_millis: 300, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9394, kappa: 0.8648, kb_relative_information_score: 509.0363, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9416, predictive_accuracy: 0.9403, prior_entropy: 0.9353, recall: 0.9403, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.475, scimark_benchmark: 1345.7204, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.0048, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4004, scimark_benchmark: 1327.5791, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 675.9547, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9353, recall: 0.975, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3322, scimark_benchmark: 1354.3488, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9543, kappa: 0.8996, kb_relative_information_score: 637.8321, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9547, predictive_accuracy: 0.9542, prior_entropy: 0.9353, recall: 0.9542, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4481, scimark_benchmark: 1064.8317, usercpu_time_millis: 8060, usercpu_time_millis_training: 8060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9511, kappa: 0.8917, kb_relative_information_score: 609.0048, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4004, scimark_benchmark: 1328.941, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.8252, kappa: 0.6071, kb_relative_information_score: 422.6635, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8298, predictive_accuracy: 0.8306, prior_entropy: 0.9353, recall: 0.8306, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8519, scimark_benchmark: 1340.1351, usercpu_time_millis: 6103160, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6102970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9348, kappa: 0.8541, kb_relative_information_score: 508.7673, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.939, predictive_accuracy: 0.9361, prior_entropy: 0.9353, recall: 0.9361, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4514, scimark_benchmark: 1227.9507, usercpu_time_millis: 10620, usercpu_time_millis_training: 10620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.951, kappa: 0.8912, kb_relative_information_score: 509.0163, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9516, predictive_accuracy: 0.9514, prior_entropy: 0.9353, recall: 0.9514, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4526, scimark_benchmark: 1352.2099, usercpu_time_millis: 1440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9567, kappa: 0.9039, kb_relative_information_score: 638.2259, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 0.9353, recall: 0.9569, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3816, scimark_benchmark: 1351.788, usercpu_time_millis: 5320, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9103, kappa: 0.8006, kb_relative_information_score: 267.5686, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9107, predictive_accuracy: 0.9111, prior_entropy: 0.9353, recall: 0.9111, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7317, scimark_benchmark: 1314.0383, usercpu_time_millis: 507700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 507690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9103, kappa: 0.8006, kb_relative_information_score: 267.5686, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9107, predictive_accuracy: 0.9111, prior_entropy: 0.9353, recall: 0.9111, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7317, scimark_benchmark: 1329.8902, usercpu_time_millis: 574980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 574970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.8419, kappa: 0.6489, kb_relative_information_score: 453.198, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8415, predictive_accuracy: 0.8431, prior_entropy: 0.9353, recall: 0.8431, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7929, scimark_benchmark: 854.5188, usercpu_time_millis: 1230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9651, kappa: 0.9225, kb_relative_information_score: 659.1304, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9655, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3581, scimark_benchmark: 1343.5291, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8267, kappa: 0.6224, kb_relative_information_score: 405.6385, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.8303, predictive_accuracy: 0.825, prior_entropy: 0.9353, recall: 0.825, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8466, scimark_benchmark: 1168.3268, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9748, kappa: 0.9439, kb_relative_information_score: 675.9547, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9759, predictive_accuracy: 0.975, prior_entropy: 0.9353, recall: 0.975, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3322, scimark_benchmark: 935.5075, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9652, kappa: 0.923, kb_relative_information_score: 660.1592, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.9353, recall: 0.9653, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3914, scimark_benchmark: 1360.1753, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9819, kappa: 0.9598, kb_relative_information_score: 664.0304, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4546, number_of_instances: 720, precision: 0.9821, predictive_accuracy: 0.9819, prior_entropy: 0.9353, recall: 0.9819, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.289, scimark_benchmark: 1330.6247, usercpu_time_millis: 250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 160,

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