Task
Supervised Classification on tumors_C

Supervised Classification on tumors_C

Task 3942 Supervised Classification tumors_C 263 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.677, kappa: 0.2803, kb_relative_information_score: 18.2629, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6742, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7601, kappa: 0.4636, kb_relative_information_score: 20.1849, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.761, predictive_accuracy: 0.7667, prior_entropy: 0.9383, recall: 0.7667, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6467, kappa: 0.2083, kb_relative_information_score: 4.9975, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.665, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6288, f_measure: 0.6204, kappa: 0.1463, kb_relative_information_score: 11.0031, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6219, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.5101, kappa: 0.0291, kb_relative_information_score: -8.2728, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5606, predictive_accuracy: 0.5, prior_entropy: 0.9383, recall: 0.5, relative_absolute_error: 1.0954, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 0.2301, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5544, kappa: 0.0038, kb_relative_information_score: 2.8135, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5468, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.6368, kappa: 0.2115, kb_relative_information_score: 9.8621, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6417, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.5114, kappa: -0.0101, kb_relative_information_score: -3.4937, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.54, predictive_accuracy: 0.5, prior_entropy: 0.9383, recall: 0.5, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.1979, scimark_benchmark: 1586.7278, usercpu_time_millis: 156296.875, usercpu_time_millis_testing: 6562.5, usercpu_time_millis_training: 149734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104, scimark_benchmark: 1922.3298, usercpu_time_millis: 1406.25, usercpu_time_millis_testing: 687.5, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6815, kappa: 0.2963, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.68, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 1922.3298, usercpu_time_millis: 1343.75, usercpu_time_millis_testing: 656.25, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1922.3298, usercpu_time_millis: 1156.25, usercpu_time_millis_testing: 593.75, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1280.301, usercpu_time_millis: 1500, usercpu_time_millis_testing: 765.625, usercpu_time_millis_training: 734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.5121, kb_relative_information_score: 0.4747, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.008, scimark_benchmark: 1393.3604, usercpu_time_millis: 117220, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 113510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1392.1151, usercpu_time_millis: 2430, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1370.907, usercpu_time_millis: 2200, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104, scimark_benchmark: 1646.4908, usercpu_time_millis: 1760, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6815, kappa: 0.2963, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.68, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 1379.9544, usercpu_time_millis: 2350, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.4526, kappa: -0.0185, kb_relative_information_score: -10.249, mean_absolute_error: 0.5106, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5334, predictive_accuracy: 0.45, prior_entropy: 0.9383, recall: 0.45, relative_absolute_error: 1.1187, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6196, root_relative_squared_error: 1.2989, scimark_benchmark: 1665.974, usercpu_time_millis: 24000, usercpu_time_millis_testing: 5984.375, usercpu_time_millis_training: 18015.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104, scimark_benchmark: 1147.4582, usercpu_time_millis: 1150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5474, kb_relative_information_score: -1.497, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.545, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3925, scimark_benchmark: 1040.2635, usercpu_time_millis: 161660, usercpu_time_millis_training: 161660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 1277.4203, usercpu_time_millis: 350, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6715, kappa: 0.2636, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6696, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 928.4321, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6573, kappa: 0.2337, kb_relative_information_score: 14.3959, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6539, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2104, scimark_benchmark: 1080.3924, usercpu_time_millis: 770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.5492, kappa: 0.061, kb_relative_information_score: 0.962, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.7797, predictive_accuracy: 0.6667, prior_entropy: 0.9383, recall: 0.6667, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.001, scimark_benchmark: 1317.2697, usercpu_time_millis: 21750, usercpu_time_millis_testing: 4300, usercpu_time_millis_training: 17450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.6702, kappa: 0.2593, kb_relative_information_score: 18.7005, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.687, predictive_accuracy: 0.7, prior_entropy: 0.9383, recall: 0.7, relative_absolute_error: 0.6627, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1311, scimark_benchmark: 1374.329, usercpu_time_millis: 147700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 147690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.6083, kappa: 0.1753, kb_relative_information_score: 4.996, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6283, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.3026, scimark_benchmark: 1347.1959, usercpu_time_millis: 330, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.498, kappa: -0.125, kb_relative_information_score: -0.7076, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.473, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6575, root_relative_squared_error: 1.3784, scimark_benchmark: 1373.7807, usercpu_time_millis: 13700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5667, kappa: 0.0476, kb_relative_information_score: -0.5006, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5667, predictive_accuracy: 0.5667, prior_entropy: 0.9383, recall: 0.5667, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5665, root_relative_squared_error: 1.1875, scimark_benchmark: 798.7632, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5517, kappa: 0.0222, kb_relative_information_score: 4.1514, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5655, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0646, scimark_benchmark: 1017.4275, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5304, kappa: -0.039, kb_relative_information_score: 1.1917, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.517, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9885, scimark_benchmark: 1105.0065, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.609, kappa: 0.1288, kb_relative_information_score: 4.8601, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6044, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.601, root_relative_squared_error: 1.26, scimark_benchmark: 1135.3725, usercpu_time_millis: 790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.417, f_measure: 0.541, kappa: -0.0227, kb_relative_information_score: -2.6381, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5345, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.3954, scimark_benchmark: 1094.8966, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 1309.3875, usercpu_time_millis: 480, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6715, kappa: 0.2636, kb_relative_information_score: 16.6627, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6696, predictive_accuracy: 0.6833, prior_entropy: 0.9383, recall: 0.6833, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1797, scimark_benchmark: 1167.5574, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.5411, kappa: -0.0088, kb_relative_information_score: -2.3781, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.538, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 1.0205, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0317, scimark_benchmark: 891.632, usercpu_time_millis: 24390, usercpu_time_millis_testing: 3690, usercpu_time_millis_training: 20700,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.6333, kappa: 0.1941, kb_relative_information_score: 10.4492, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5928, root_relative_squared_error: 1.2429, scimark_benchmark: 1874.6491, usercpu_time_millis: 68593.6397, usercpu_time_millis_training: 68593.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6239, kappa: 0.2014, kb_relative_information_score: 7.5953, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6395, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.298, scimark_benchmark: 1850.8887, usercpu_time_millis: 280.8018, usercpu_time_millis_testing: 218.4014, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: -0.1791, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0013, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6368, kappa: 0.2115, kb_relative_information_score: 8.4664, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6417, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.2424, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: -0.8326, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5098, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5756, root_relative_squared_error: 1.2068, scimark_benchmark: 972.587, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.6479, kappa: 0.2222, kb_relative_information_score: 10.595, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6463, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.1037, scimark_benchmark: 851.2074, usercpu_time_millis: 4120, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 941.6675, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 4.6367, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 932.438, usercpu_time_millis: 1870, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.6288, kappa: 0.176, kb_relative_information_score: 10.2327, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6255, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5938, root_relative_squared_error: 1.2448, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.581, kappa: 0.0789, kb_relative_information_score: 2.0545, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6083, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9871, scimark_benchmark: 974.2014, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5467, kappa: -0.0127, kb_relative_information_score: -2.1989, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5373, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0493, scimark_benchmark: 974.2014, usercpu_time_millis: 183770, usercpu_time_millis_testing: 83310, usercpu_time_millis_training: 100460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.6368, kappa: 0.2115, kb_relative_information_score: 8.4664, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6417, predictive_accuracy: 0.6333, prior_entropy: 0.9383, recall: 0.6333, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5926, root_relative_squared_error: 1.2424, scimark_benchmark: 942.2392, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.5235, kappa: -0.0714, kb_relative_information_score: -1.0112, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5098, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.2113, scimark_benchmark: 901.6243, usercpu_time_millis: 1360, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 12.129, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 931.7096, usercpu_time_millis: 1590, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.581, kappa: 0.0588, kb_relative_information_score: -0.4204, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5733, predictive_accuracy: 0.6, prior_entropy: 0.9383, recall: 0.6, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9957, scimark_benchmark: 941.4991, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5121, kb_relative_information_score: 4.6367, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0307, scimark_benchmark: 920.2531, usercpu_time_millis: 450, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6218, kappa: 0.1844, kb_relative_information_score: 5.577, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6299, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6125, root_relative_squared_error: 1.2841, scimark_benchmark: 936.3213, usercpu_time_millis: 476290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 476200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.581, kappa: 0.0789, kb_relative_information_score: 2.0545, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.6083, predictive_accuracy: 0.65, prior_entropy: 0.9383, recall: 0.65, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9871, scimark_benchmark: 936.9595, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.575, kappa: 0.053, kb_relative_information_score: -0.9574, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5694, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0395, scimark_benchmark: 936.7184, usercpu_time_millis: 108790, usercpu_time_millis_testing: 50710, usercpu_time_millis_training: 58080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5588, kappa: 0.0079, kb_relative_information_score: 2.6015, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.5489, predictive_accuracy: 0.5833, prior_entropy: 0.9383, recall: 0.5833, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.3534, scimark_benchmark: 929.0296, usercpu_time_millis: 23420, usercpu_time_millis_training: 23420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5723, kappa: 0.0417, kb_relative_information_score: 7.4469, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.569, predictive_accuracy: 0.6167, prior_entropy: 0.9383, recall: 0.6167, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6189, root_relative_squared_error: 1.2974, scimark_benchmark: 926.5859, usercpu_time_millis: 11380, usercpu_time_millis_training: 11380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.5331, kappa: -0.0465, kb_relative_information_score: -0.6488, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4565, number_of_instances: 60, precision: 0.523, predictive_accuracy: 0.55, prior_entropy: 0.9383, recall: 0.55, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.3708, scimark_benchmark: 894.7131, usercpu_time_millis: 5800, usercpu_time_millis_training: 5800,

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