Task
Supervised Classification on fri_c2_250_50

Supervised Classification on fri_c2_250_50

Task 3741 Supervised Classification fri_c2_250_50 563 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6608, kappa: 0.3195, kb_relative_information_score: 46.4362, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6641, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.835, kappa: 0.6661, kb_relative_information_score: 146.1196, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6791, kappa: 0.351, kb_relative_information_score: 55.7227, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6789, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6608, kappa: 0.3195, kb_relative_information_score: 58.5505, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6641, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8503, kappa: 0.6973, kb_relative_information_score: 140.1885, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.852, prior_entropy: 0.9934, recall: 0.852, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5921, kappa: 0.1749, kb_relative_information_score: 28.848, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5926, predictive_accuracy: 0.596, prior_entropy: 0.9934, recall: 0.596, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.815, kappa: 0.6257, kb_relative_information_score: 155.2453, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8166, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6077, kappa: 0.2075, kb_relative_information_score: 50.9559, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6074, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8189, kappa: 0.6335, kb_relative_information_score: 143.2697, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.821, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7435, kappa: 0.4816, kb_relative_information_score: 114.8515, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7435, predictive_accuracy: 0.744, prior_entropy: 0.9934, recall: 0.744, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7996, kappa: 0.595, kb_relative_information_score: 60.0179, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5942, kappa: 0.1798, kb_relative_information_score: 28.2893, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5962, predictive_accuracy: 0.6, prior_entropy: 0.9934, recall: 0.6, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7996, kappa: 0.595, kb_relative_information_score: 60.0179, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9934, recall: 0.8, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6874, kappa: 0.3682, kb_relative_information_score: 70.1561, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6872, predictive_accuracy: 0.688, prior_entropy: 0.9934, recall: 0.688, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8386, kappa: 0.6735, kb_relative_information_score: 145.9543, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8427, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8186, kappa: 0.633, kb_relative_information_score: 107.6676, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8278, kappa: 0.652, kb_relative_information_score: 153.9788, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8278, kappa: 0.652, kb_relative_information_score: 153.9788, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7251, kappa: 0.444, kb_relative_information_score: 84.6354, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7284, predictive_accuracy: 0.728, prior_entropy: 0.9934, recall: 0.728, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7307, kappa: 0.4552, kb_relative_information_score: 107.4551, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7313, predictive_accuracy: 0.732, prior_entropy: 0.9934, recall: 0.732, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 129.9184, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.696, kappa: 0.3863, kb_relative_information_score: 70.6546, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.6782, kappa: 0.349, kb_relative_information_score: 78.0611, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6787, predictive_accuracy: 0.68, prior_entropy: 0.9934, recall: 0.68, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7911, kappa: 0.5775, kb_relative_information_score: 144.5995, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7914, kappa: 0.5782, kb_relative_information_score: 75.4184, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7911, kappa: 0.5775, kb_relative_information_score: 144.5995, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7516, kappa: 0.4978, kb_relative_information_score: 71.8174, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7515, predictive_accuracy: 0.752, prior_entropy: 0.9934, recall: 0.752, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 129.9184, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7642, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6951, kappa: 0.3835, kb_relative_information_score: 95.9653, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.695, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6829, kappa: 0.3586, kb_relative_information_score: 66.5659, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6829, predictive_accuracy: 0.684, prior_entropy: 0.9934, recall: 0.684, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.696, kappa: 0.3863, kb_relative_information_score: 70.6546, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7028, kappa: 0.3988, kb_relative_information_score: 50.3489, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.703, predictive_accuracy: 0.704, prior_entropy: 0.9934, recall: 0.704, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7645, kappa: 0.5269, kb_relative_information_score: 80.2742, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.767, predictive_accuracy: 0.764, prior_entropy: 0.9934, recall: 0.764, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7957, kappa: 0.5872, kb_relative_information_score: 146.6259, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7957, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.5574, kappa: 0.175, kb_relative_information_score: 55.4369, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.662, predictive_accuracy: 0.616, prior_entropy: 0.9934, recall: 0.616, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2451, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7073, kappa: 0.4083, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7072, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1461.2356, usercpu_time_millis: 125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6853, kappa: 0.3633, kb_relative_information_score: 91.9125, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.687, predictive_accuracy: 0.688, prior_entropy: 0.9934, recall: 0.688, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1223, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7066, kappa: 0.4064, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6603, kappa: 0.3153, kb_relative_information_score: 64.7269, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6609, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0716, scimark_benchmark: 1638.4566, usercpu_time_millis: 2020, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7066, kappa: 0.4064, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1301.464, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6853, kappa: 0.3633, kb_relative_information_score: 91.9125, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.687, predictive_accuracy: 0.688, prior_entropy: 0.9934, recall: 0.688, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1223, scimark_benchmark: 1335.9848, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.5574, kappa: 0.175, kb_relative_information_score: 55.4369, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.662, predictive_accuracy: 0.616, prior_entropy: 0.9934, recall: 0.616, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2451, scimark_benchmark: 1630.9018, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.7073, kappa: 0.4083, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7072, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1543.272, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7503, kappa: 0.4947, kb_relative_information_score: 34.85, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9934, recall: 0.752, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9494, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7873, kappa: 0.5697, kb_relative_information_score: 142.5731, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7878, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.707, kappa: 0.4074, kb_relative_information_score: 102.0446, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7071, predictive_accuracy: 0.708, prior_entropy: 0.9934, recall: 0.708, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0858, scimark_benchmark: 1307.7015, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.835, kappa: 0.6661, kb_relative_information_score: 146.1196, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7604, scimark_benchmark: 960.3608, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8155, kappa: 0.6268, kb_relative_information_score: 140.1452, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8159, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6985, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7877, kappa: 0.5808, kb_relative_information_score: 146.1235, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8061, predictive_accuracy: 0.788, prior_entropy: 0.9934, recall: 0.788, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7822, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.5147, kappa: 0.0979, kb_relative_information_score: 27.8812, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5669, predictive_accuracy: 0.532, prior_entropy: 0.9934, recall: 0.532, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1226, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6149, kappa: 0.2212, kb_relative_information_score: 26.256, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6145, predictive_accuracy: 0.616, prior_entropy: 0.9934, recall: 0.616, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9725, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8152, kappa: 0.6263, kb_relative_information_score: 148.5115, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8162, predictive_accuracy: 0.816, prior_entropy: 0.9934, recall: 0.816, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6875, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.5921, kappa: 0.1749, kb_relative_information_score: 29.6033, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5926, predictive_accuracy: 0.596, prior_entropy: 0.9934, recall: 0.596, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0033, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.5962, kappa: 0.1886, kb_relative_information_score: 51.384, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6051, predictive_accuracy: 0.608, prior_entropy: 0.9934, recall: 0.608, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7751, kappa: 0.545, kb_relative_information_score: 136.4938, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7757, predictive_accuracy: 0.776, prior_entropy: 0.9934, recall: 0.776, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7911, kappa: 0.5775, kb_relative_information_score: 144.5995, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9934, recall: 0.792, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9164, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6964, kappa: 0.3957, kb_relative_information_score: 95.9653, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7057, predictive_accuracy: 0.696, prior_entropy: 0.9934, recall: 0.696, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1078, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7913, kappa: 0.5794, kb_relative_information_score: 115.7881, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8066, predictive_accuracy: 0.796, prior_entropy: 0.9934, recall: 0.796, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8204, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.8043, kappa: 0.6051, kb_relative_information_score: 121.2109, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8165, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7901, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7797, kappa: 0.5549, kb_relative_information_score: 61.3164, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7796, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.949, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6608, kappa: 0.3195, kb_relative_information_score: 58.5505, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6641, predictive_accuracy: 0.66, prior_entropy: 0.9934, recall: 0.66, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9679, scimark_benchmark: 1870.7932,

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