Task
Supervised Classification on no2

Supervised Classification on no2

Task 3749 Supervised Classification no2 588 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: 0.6217, f_measure: 0.594, kappa: 0.1879, kb_relative_information_score: 46.362, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.5581, kappa: 0.1389, kb_relative_information_score: 29.9943, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5776, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5487, kappa: 0.1072, kb_relative_information_score: 21.3792, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5561, predictive_accuracy: 0.554, prior_entropy: 1, recall: 0.554, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5487, kappa: 0.1072, kb_relative_information_score: 20.5883, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5561, predictive_accuracy: 0.554, prior_entropy: 1, recall: 0.554, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6235, kappa: 0.2478, kb_relative_information_score: 73.5641, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6245, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5736, kappa: 0.1478, kb_relative_information_score: 49.6757, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5742, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.544, root_relative_squared_error: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5929, kappa: 0.1877, kb_relative_information_score: 50.4833, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.569, kappa: 0.1473, kb_relative_information_score: 27.6897, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5771, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.6293, kappa: 0.2597, kb_relative_information_score: 80.0147, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6308, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5698, kappa: 0.1398, kb_relative_information_score: 71.0872, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.5531, kappa: 0.1465, kb_relative_information_score: 36.8853, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5898, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6042, kappa: 0.2116, kb_relative_information_score: 64.2733, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6077, predictive_accuracy: 0.606, prior_entropy: 1, recall: 0.606, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.564, kappa: 0.128, kb_relative_information_score: 51.4646, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.564, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6097, kappa: 0.2198, kb_relative_information_score: 79.687, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6102, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4875, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6417, kappa: 0.2838, kb_relative_information_score: 51.8493, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6423, predictive_accuracy: 0.642, prior_entropy: 1, recall: 0.642, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6101, kappa: 0.2236, kb_relative_information_score: 89.6594, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.5736, kappa: 0.1478, kb_relative_information_score: 61.351, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5742, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5516, kappa: 0.1268, kb_relative_information_score: 31.7108, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5711, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6395, kappa: 0.2798, kb_relative_information_score: 87.9023, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5415, kappa: 0.1107, kb_relative_information_score: 30.7429, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5632, predictive_accuracy: 0.556, prior_entropy: 1, recall: 0.556, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5771, kappa: 0.1647, kb_relative_information_score: 27.503, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5865, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3356, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.6159, kappa: 0.2319, kb_relative_information_score: 76.5313, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.616, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5492, kappa: 0.117, kb_relative_information_score: 57.9898, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5636, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.3297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.5784, kappa: 0.1634, kb_relative_information_score: 33.7138, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5844, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.5949, kappa: 0.1954, kb_relative_information_score: 72.3308, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6007, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.624, kappa: 0.248, kb_relative_information_score: 123.9913, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.624, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6082, kappa: 0.2234, kb_relative_information_score: 78.0055, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.616, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6257, kappa: 0.2518, kb_relative_information_score: 76.3782, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6263, predictive_accuracy: 0.626, prior_entropy: 1, recall: 0.626, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.497, kappa: 0.0032, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5017, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 1461.2356, usercpu_time_millis: 29328.125, usercpu_time_millis_training: 29328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5771, kappa: 0.1647, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5865, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1461.2356, usercpu_time_millis: 1046.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.582, kappa: 0.164, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1959.6455, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -2.0115, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4171, 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: 0.5271, f_measure: 0.4406, kappa: 0.0026, kb_relative_information_score: 8.1292, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5023, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0494, scimark_benchmark: 1566.8458, usercpu_time_millis: 1470, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4022, kappa: -0.0072, kb_relative_information_score: -2.0115, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.49, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4171, scimark_benchmark: 1400.2838, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.582, kappa: 0.164, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1362.8065, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.497, kappa: 0.0032, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5017, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 1715.6812, usercpu_time_millis: 28060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5771, kappa: 0.1647, kb_relative_information_score: 81.9904, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5865, predictive_accuracy: 0.582, prior_entropy: 1, recall: 0.582, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.2931, scimark_benchmark: 1554.5892, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5062, kappa: 0.0941, kb_relative_information_score: 30.8438, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5698, predictive_accuracy: 0.546, prior_entropy: 1, recall: 0.546, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0159, scimark_benchmark: 1908.2191, usercpu_time_millis: 1140.625, usercpu_time_millis_training: 1140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5403, kappa: 0.0887, kb_relative_information_score: 38.5138, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5459, predictive_accuracy: 0.544, prior_entropy: 1, recall: 0.544, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0417, scimark_benchmark: 1487.685, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6102, f_measure: 0.5062, kappa: 0.0941, kb_relative_information_score: 30.8438, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5698, predictive_accuracy: 0.546, prior_entropy: 1, recall: 0.546, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0159, scimark_benchmark: 1060.9535, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 1243.758, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5098, kappa: 0.094, kb_relative_information_score: 12.1771, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.567, predictive_accuracy: 0.546, prior_entropy: 1, recall: 0.546, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.52, root_relative_squared_error: 1.04, scimark_benchmark: 1294.9051, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5734, kappa: 0.1482, kb_relative_information_score: 30.2922, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1357.6148, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.5578, kappa: 0.1159, kb_relative_information_score: 57.8045, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.3267, scimark_benchmark: 1252.9789, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 59.6851, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5901, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1157.7301, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5699, kappa: 0.1401, kb_relative_information_score: 33.0901, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5701, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 782.4831, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5683, kappa: 0.1529, kb_relative_information_score: 75.9902, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.5631, kappa: 0.1277, kb_relative_information_score: 49.5139, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5643, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0531, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6452, kappa: 0.2917, kb_relative_information_score: 89.2817, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6471, predictive_accuracy: 0.646, prior_entropy: 1, recall: 0.646, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.463, root_relative_squared_error: 0.926, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5487, kappa: 0.1072, kb_relative_information_score: 21.3792, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5561, predictive_accuracy: 0.554, prior_entropy: 1, recall: 0.554, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0253, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5683, kappa: 0.1529, kb_relative_information_score: 75.9902, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.4778, kappa: 0.0745, kb_relative_information_score: 11.733, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5676, predictive_accuracy: 0.536, prior_entropy: 1, recall: 0.536, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.041, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5734, kappa: 0.1482, kb_relative_information_score: 30.2922, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.5578, kappa: 0.1159, kb_relative_information_score: 57.8045, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.558, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.3267, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 59.6851, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5901, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, kappa: 0.2039, kb_relative_information_score: 47.7971, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.602, predictive_accuracy: 0.602, prior_entropy: 1, recall: 0.602, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.5671, kappa: 0.1357, kb_relative_information_score: 52.1756, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5684, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.047, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.6417, kappa: 0.2838, kb_relative_information_score: 86.8391, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6423, predictive_accuracy: 0.642, prior_entropy: 1, recall: 0.642, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9329, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5487, kappa: 0.1072, kb_relative_information_score: 21.3792, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5561, predictive_accuracy: 0.554, prior_entropy: 1, recall: 0.554, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0253, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.5734, kappa: 0.1482, kb_relative_information_score: 30.2922, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5746, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.594, kappa: 0.1879, kb_relative_information_score: 46.362, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.594, prior_entropy: 1, recall: 0.594, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.496, kappa: 0.0741, kb_relative_information_score: 10.2216, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5546, predictive_accuracy: 0.536, prior_entropy: 1, recall: 0.536, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0435, scimark_benchmark: 1834.908, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 59.6851, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5901, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 59.6851, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5901, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6269, kappa: 0.2557, kb_relative_information_score: 61.7258, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6292, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9546, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5953, kappa: 0.1917, kb_relative_information_score: 42.2159, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5965, predictive_accuracy: 0.596, prior_entropy: 1, recall: 0.596, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, 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: 0.5993, f_measure: 0.3311, kb_relative_information_score: 18.2212, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.248, predictive_accuracy: 0.498, prior_entropy: 1, recall: 0.498, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0317, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5828, kappa: 0.1684, kb_relative_information_score: 23.1875, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5853, predictive_accuracy: 0.584, prior_entropy: 1, recall: 0.584, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.984, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5492, kappa: 0.117, kb_relative_information_score: 57.9898, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5636, predictive_accuracy: 0.558, prior_entropy: 1, recall: 0.558, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.3297, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.565, kappa: 0.149, kb_relative_information_score: 73.9902, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5814, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3054, scimark_benchmark: 1297.0538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.6249, kappa: 0.2632, kb_relative_information_score: 82.9336, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.632, prior_entropy: 1, recall: 0.632, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9527, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6025, kappa: 0.2387, kb_relative_information_score: 119.7992, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6444, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0576, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.5253, kappa: 0.1102, kb_relative_information_score: 75.8688, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.574, predictive_accuracy: 0.556, prior_entropy: 1, recall: 0.556, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1199, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5787, kappa: 0.1711, kb_relative_information_score: 43.6298, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5918, predictive_accuracy: 0.586, prior_entropy: 1, recall: 0.586, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, 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: 0.6619, f_measure: 0.6101, kappa: 0.2236, kb_relative_information_score: 89.6594, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.612, prior_entropy: 1, recall: 0.612, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.5736, kappa: 0.1478, kb_relative_information_score: 61.351, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5742, predictive_accuracy: 0.574, prior_entropy: 1, recall: 0.574, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0223, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.5642, kappa: 0.1449, kb_relative_information_score: 71.9902, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5782, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3084, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5683, kappa: 0.1529, kb_relative_information_score: 75.9902, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5826, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, 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: 0.6616, f_measure: 0.6275, kappa: 0.2558, kb_relative_information_score: 81.8698, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6286, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9921, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.565, kappa: 0.1317, kb_relative_information_score: 47.5691, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5664, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5599, kappa: 0.1199, kb_relative_information_score: 17.7057, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0353, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5487, kappa: 0.1072, kb_relative_information_score: 21.3792, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5561, predictive_accuracy: 0.554, prior_entropy: 1, recall: 0.554, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0253, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6392, kappa: 0.2797, kb_relative_information_score: 139.9917, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.641, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6239, kappa: 0.2479, kb_relative_information_score: 123.9913, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.624, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2264,

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