Task
Supervised Classification on diabetes_numeric

Supervised Classification on diabetes_numeric

Task 3656 Supervised Classification diabetes_numeric 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: -0.0329, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.9682, recall: 0.6512, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: -0.0329, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.9682, recall: 0.6512, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7007, kappa: 0.3864, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7104, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7007, kappa: 0.3864, kb_relative_information_score: 0.0833, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7104, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7007, kappa: 0.3864, kb_relative_information_score: 0.0693, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7104, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7007, kappa: 0.3864, kb_relative_information_score: 0.0693, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7104, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7007, kappa: 0.3864, kb_relative_information_score: 0.0693, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7104, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: -0.0329, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.9682, recall: 0.6512, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.6518, kappa: 0.2879, kb_relative_information_score: -0.0693, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.738, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 0.0839, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.9682, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: -0.0329, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.9682, recall: 0.6512, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.699, kappa: 0.374, kb_relative_information_score: -0.8294, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.7011, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.7262, kappa: 0.4239, kb_relative_information_score: 1.5076, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.756, predictive_accuracy: 0.7442, prior_entropy: 0.971, recall: 0.7442, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.7262, kappa: 0.4239, kb_relative_information_score: 1.5076, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.756, predictive_accuracy: 0.7442, prior_entropy: 0.971, recall: 0.7442, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.7262, kappa: 0.4239, kb_relative_information_score: 1.5076, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.756, predictive_accuracy: 0.7442, prior_entropy: 0.971, recall: 0.7442, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 3.5982, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6849, kappa: 0.3337, kb_relative_information_score: 3.5982, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6927, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: -1.412, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.6164, kappa: 0.1887, kb_relative_information_score: 7.582, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.616, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.6438, kappa: 0.2474, kb_relative_information_score: 7.907, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6429, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.5446, kappa: 0.0688, kb_relative_information_score: 0.6743, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.5735, predictive_accuracy: 0.6047, prior_entropy: 0.971, recall: 0.6047, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6643, kappa: 0.2901, kb_relative_information_score: 13.1926, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6665, predictive_accuracy: 0.6744, prior_entropy: 0.971, recall: 0.6744, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6744, kappa: 0.319, kb_relative_information_score: 6.8218, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6744, predictive_accuracy: 0.6744, prior_entropy: 0.971, recall: 0.6744, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: 5.6373, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6438, kappa: 0.2474, kb_relative_information_score: 6.2373, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6429, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.6073, kappa: 0.1711, kb_relative_information_score: 4.66, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6124, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6959, kappa: 0.3611, kb_relative_information_score: 9.7158, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.695, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.6913, kappa: 0.3477, kb_relative_information_score: 9.2281, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.692, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4911, kappa: -0.0408, kb_relative_information_score: 0.4091, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.4913, predictive_accuracy: 0.5581, prior_entropy: 0.971, recall: 0.5581, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6232, kappa: 0.2055, kb_relative_information_score: 4.9897, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6212, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.6438, kappa: 0.2474, kb_relative_information_score: 6.6384, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6429, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6232, kappa: 0.2055, kb_relative_information_score: 9.4711, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6212, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6266, kappa: 0.2144, kb_relative_information_score: 5.0772, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6403, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5625, kappa: 0.1032, kb_relative_information_score: 1.267, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.5722, predictive_accuracy: 0.5581, prior_entropy: 0.971, recall: 0.5581, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1328,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6764, kappa: 0.3191, kb_relative_information_score: 10.2305, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6982, predictive_accuracy: 0.6977, prior_entropy: 0.971, recall: 0.6977, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9227, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6308, kappa: 0.2373, kb_relative_information_score: 7.2637, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6364, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0427, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.4911, kappa: -0.0408, kb_relative_information_score: 0.4091, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.4913, predictive_accuracy: 0.5581, prior_entropy: 0.971, recall: 0.5581, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0455, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5955, kappa: 0.1527, kb_relative_information_score: 4.8904, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6109, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0923, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6438, kappa: 0.2474, kb_relative_information_score: 8.5029, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6429, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8156, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9623, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4717, f_measure: 0.4656, kappa: -0.0652, kb_relative_information_score: 2.5901, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.4554, predictive_accuracy: 0.5581, prior_entropy: 0.971, recall: 0.5581, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3595, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.6266, kappa: 0.2144, kb_relative_information_score: 11.0721, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6403, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5906, root_relative_squared_error: 1.208, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.6744, kappa: 0.319, kb_relative_information_score: 7.075, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6744, predictive_accuracy: 0.6744, prior_entropy: 0.971, recall: 0.6744, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9681, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6643, kappa: 0.2901, kb_relative_information_score: 5.5098, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6665, predictive_accuracy: 0.6744, prior_entropy: 0.971, recall: 0.6744, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9739, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, f_measure: 0.4924, kappa: -0.0488, kb_relative_information_score: -3.7374, mean_absolute_error: 0.5111, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.4984, predictive_accuracy: 0.4884, prior_entropy: 0.971, recall: 0.4884, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.6979, root_relative_squared_error: 1.4274, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.6279, kappa: 0.2217, kb_relative_information_score: 11.5023, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6279, predictive_accuracy: 0.6279, prior_entropy: 0.971, recall: 0.6279, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.1083, scimark_benchmark: 1744.8652,

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