OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 277 Supervised Classification tae 311 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

311 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5099, kappa: 0.2571, kb_relative_information_score: 10.4351, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5318, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9792, scimark_benchmark: 1315.933, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5308, kappa: 0.2943, kb_relative_information_score: 15.8022, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5329, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.1072, scimark_benchmark: 1301.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5102, kappa: 0.2682, kb_relative_information_score: 7.36, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5701, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9815, scimark_benchmark: 854.6529, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.5146, kappa: 0.2677, kb_relative_information_score: 6.6145, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5259, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9585, scimark_benchmark: 1345.7582, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.3985, kappa: 0.13, kb_relative_information_score: 10.7915, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4687, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6172, root_relative_squared_error: 1.309, scimark_benchmark: 1327.035, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.2511, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9988, scimark_benchmark: 1086.8793, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5705, kappa: 0.3585, kb_relative_information_score: 16.8067, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9406, scimark_benchmark: 926.6704, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1348.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.6108, kappa: 0.4253, kb_relative_information_score: 20.6809, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6481, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9378, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.0865, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.6674, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0033, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.4565, kappa: 0.2127, kb_relative_information_score: 11.8271, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4802, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0523, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.2969, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9635, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.488, kappa: 0.2358, kb_relative_information_score: 15.6788, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4903, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.0339, scimark_benchmark: 1268.9931, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6142, kappa: 0.4148, kb_relative_information_score: 22.5893, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6168, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0473, scimark_benchmark: 1298.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.2896, kappa: 0.0838, kb_relative_information_score: 1.1185, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.2595, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9908, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 0.2923, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0031, scimark_benchmark: 1339.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.5497, kappa: 0.3342, kb_relative_information_score: 17.4481, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5753, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9544, scimark_benchmark: 1321.5205, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.5017, kappa: 0.2677, kb_relative_information_score: 14.7381, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5049, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9647, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.5526, kappa: 0.3246, kb_relative_information_score: 9.0736, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5549, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636, scimark_benchmark: 1307.3764, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.5385, kappa: 0.2961, kb_relative_information_score: 9.0471, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5527, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9663, scimark_benchmark: 1313.6093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4017, kappa: 0.1179, kb_relative_information_score: 9.2673, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4169, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3322, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.3301, kappa: 0.1552, kb_relative_information_score: 6.1675, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3425, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9628, scimark_benchmark: 840.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5308, kappa: 0.2943, kb_relative_information_score: 15.8022, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5329, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.1072, scimark_benchmark: 1384.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1319.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3205, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0474, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3766, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0441, scimark_benchmark: 1301.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.4243, kappa: 0.136, kb_relative_information_score: 8.685, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4648, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9594, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.5277, kappa: 0.3103, kb_relative_information_score: 2.1621, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5574, predictive_accuracy: 0.551, prior_entropy: 1.5845, recall: 0.551, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9989, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.4502, kappa: 0.1705, kb_relative_information_score: 7.1473, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5111, predictive_accuracy: 0.449, prior_entropy: 1.5845, recall: 0.449, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9943, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.378, kappa: 0.1629, kb_relative_information_score: 6.2426, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4482, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0356, scimark_benchmark: 1326.6647, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.3893, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.0466, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4975, kappa: 0.2368, kb_relative_information_score: 12.5442, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5127, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0079, scimark_benchmark: 1338.01, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.4695, kappa: 0.2344, kb_relative_information_score: 14.146, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5738, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2003, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, f_measure: 0.4708, kappa: 0.2097, kb_relative_information_score: 6.6741, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4867, predictive_accuracy: 0.4694, prior_entropy: 1.5845, recall: 0.4694, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9622, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.4806, kappa: 0.2131, kb_relative_information_score: 7.6653, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5181, predictive_accuracy: 0.4694, prior_entropy: 1.5845, recall: 0.4694, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.964, scimark_benchmark: 1321.8733, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.4831, kappa: 0.2353, kb_relative_information_score: 12.2933, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4833, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9785, scimark_benchmark: 1308.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6377, kappa: 0.4477, kb_relative_information_score: 9.3652, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6489, predictive_accuracy: 0.6327, prior_entropy: 1.5845, recall: 0.6327, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9572, scimark_benchmark: 1345.0332, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.5146, kappa: 0.2682, kb_relative_information_score: 9.3183, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5267, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9712, scimark_benchmark: 1321.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4213, kappa: 0.2314, kb_relative_information_score: 6.847, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4167, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9549, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.6882, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.5947, kappa: 0.3852, kb_relative_information_score: 21.6137, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6001, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.1063, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 0.2845, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0034, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.4271, kappa: 0.1366, kb_relative_information_score: 10.641, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4262, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6172, root_relative_squared_error: 1.309, scimark_benchmark: 918.0213, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.5174, kappa: 0.2835, kb_relative_information_score: 18.7328, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5245, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9741, scimark_benchmark: 906.4475, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.4972, kappa: 0.2405, kb_relative_information_score: 6.7559, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.519, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9593, scimark_benchmark: 1307.4861, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.5002, kappa: 0.2415, kb_relative_information_score: 6.8039, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5332, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9709, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.5271, kappa: 0.2961, kb_relative_information_score: 11.0108, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5277, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.967, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.4466, kappa: 0.1798, kb_relative_information_score: 8.2045, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4624, predictive_accuracy: 0.449, prior_entropy: 1.5845, recall: 0.449, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9724, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.4181, kappa: 0.1387, kb_relative_information_score: 7.7212, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4188, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0309, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.4682, kappa: 0.2192, kb_relative_information_score: 12.4079, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4702, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0211, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.4044, kappa: 0.1018, kb_relative_information_score: 13.3515, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4061, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0536, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 2.2315, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.1893, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.4836, kappa: 0.2271, kb_relative_information_score: 7.2511, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5155, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9988, scimark_benchmark: 938.202, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.3985, kappa: 0.13, kb_relative_information_score: 10.7915, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4687, predictive_accuracy: 0.4286, prior_entropy: 1.5845, recall: 0.4286, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6172, root_relative_squared_error: 1.309, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.5099, kappa: 0.2571, kb_relative_information_score: 10.4351, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5318, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9792, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5723, kappa: 0.3557, kb_relative_information_score: 20.2879, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5786, predictive_accuracy: 0.5714, prior_entropy: 1.5845, recall: 0.5714, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.526, root_relative_squared_error: 1.1155, scimark_benchmark: 1307.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.2501, kappa: -0.0189, kb_relative_information_score: 2.4444, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.205, predictive_accuracy: 0.3265, prior_entropy: 1.5845, recall: 0.3265, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0575, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.622, f_measure: 0.4502, kappa: 0.1705, kb_relative_information_score: 8.496, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5111, predictive_accuracy: 0.449, prior_entropy: 1.5845, recall: 0.449, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0046, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.5866, kappa: 0.3883, kb_relative_information_score: 21.5609, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5901, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.1063, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.4365, kappa: 0.1823, kb_relative_information_score: 13.4584, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4514, predictive_accuracy: 0.4694, prior_entropy: 1.5845, recall: 0.4694, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5948, root_relative_squared_error: 1.2614, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.4614, kappa: 0.2634, kb_relative_information_score: 14.6852, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6396, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.917, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.3916, kappa: 0.0976, kb_relative_information_score: 7.9385, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4324, predictive_accuracy: 0.3878, prior_entropy: 1.5845, recall: 0.3878, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.355, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.5333, kappa: 0.2956, kb_relative_information_score: 17.4872, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5383, predictive_accuracy: 0.5306, prior_entropy: 1.5845, recall: 0.5306, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1864, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.127, kb_relative_information_score: 0.2845, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.0816, predictive_accuracy: 0.2857, prior_entropy: 1.5845, recall: 0.2857, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0034, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.4565, kappa: 0.2127, kb_relative_information_score: 11.8271, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.4802, predictive_accuracy: 0.4898, prior_entropy: 1.5845, recall: 0.4898, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0523, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.03, build_memory: 518683112, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 941.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.025, build_memory: 697918824, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.03, build_memory: 1543825496, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.021, build_memory: 635134648, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, build_cpu_time: 0.024, build_memory: 1244169448, f_measure: 0.505, kappa: 0.2566, kb_relative_information_score: 11.8063, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5313, predictive_accuracy: 0.5102, prior_entropy: 1.5845, recall: 0.5102, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0233, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.003, build_memory: 79763240, f_measure: 0.3969, kappa: 0.1006, kb_relative_information_score: 6.7823, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3938, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0127, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.003, build_memory: 546250344, f_measure: 0.3969, kappa: 0.1006, kb_relative_information_score: 6.7823, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3938, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0127, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.004, build_memory: 131308944, f_measure: 0.3969, kappa: 0.1006, kb_relative_information_score: 6.7823, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3938, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0127, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.005, build_memory: 817485240, f_measure: 0.3969, kappa: 0.1006, kb_relative_information_score: 6.7823, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3938, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0127, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.007, build_memory: 79501736, f_measure: 0.3969, kappa: 0.1006, kb_relative_information_score: 6.7823, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.3938, predictive_accuracy: 0.4082, prior_entropy: 1.5845, recall: 0.4082, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0127, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, build_cpu_time: 0.106, build_memory: 271083560, f_measure: 0.5893, kappa: 0.3867, kb_relative_information_score: 21.8919, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5919, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0365, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, build_cpu_time: 0.058, build_memory: 2382300600, f_measure: 0.5893, kappa: 0.3867, kb_relative_information_score: 21.5959, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.5919, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0374, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.021, build_memory: 3154031624, f_measure: 0.589, kappa: 0.3852, kb_relative_information_score: 21.6769, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.589, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4913, root_relative_squared_error: 1.0419, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, build_cpu_time: 0.01, build_memory: 1914195568, f_measure: 0.589, kappa: 0.3852, kb_relative_information_score: 21.7586, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.589, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0399, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, build_cpu_time: 0.008, build_memory: 470975672, f_measure: 0.589, kappa: 0.3852, kb_relative_information_score: 21.8148, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.589, predictive_accuracy: 0.5918, prior_entropy: 1.5845, recall: 0.5918, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4853, root_relative_squared_error: 1.0293, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, build_cpu_time: 0.201, build_memory: 2105566176, f_measure: 0.6191, kappa: 0.4203, kb_relative_information_score: 23.5321, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6341, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0204, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, build_cpu_time: 0.337, build_memory: 535177080, f_measure: 0.6191, kappa: 0.4203, kb_relative_information_score: 23.496, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4445, number_of_instances: 49, precision: 0.6341, predictive_accuracy: 0.6122, prior_entropy: 1.5845, recall: 0.6122, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0189, scimark_benchmark: 945.5885,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs