Task
Supervised Classification on visualizing_ethanol

Supervised Classification on visualizing_ethanol

Task 3809 Supervised Classification visualizing_ethanol 538 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: 0.5067, f_measure: 0.4887, kappa: -0.0227, kb_relative_information_score: 2.0413, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4889, predictive_accuracy: 0.4886, prior_entropy: 0.9996, recall: 0.4886, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6276, root_relative_squared_error: 1.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4413, f_measure: 0.4476, kappa: -0.0771, kb_relative_information_score: -4.5896, mean_absolute_error: 0.5236, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4566, predictive_accuracy: 0.4659, prior_entropy: 0.9996, recall: 0.4659, relative_absolute_error: 1.0477, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.541, root_relative_squared_error: 1.0822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3845, f_measure: 0.4193, kappa: -0.1615, kb_relative_information_score: -2.1721, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4192, predictive_accuracy: 0.4205, prior_entropy: 0.9996, recall: 0.4205, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5566, kappa: 0.1127, kb_relative_information_score: 9.943, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.5253, kappa: 0.0624, kb_relative_information_score: 2.3735, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5335, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4711, kappa: -0.0313, kb_relative_information_score: -0.264, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4825, predictive_accuracy: 0.4886, prior_entropy: 0.9996, recall: 0.4886, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.551, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.4948, kappa: -0.0047, kb_relative_information_score: -0.1354, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4978, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4594, f_measure: 0.5212, kappa: 0.043, kb_relative_information_score: -1.012, mean_absolute_error: 0.5049, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5219, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5845, kappa: 0.1771, kb_relative_information_score: 5.926, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5937, predictive_accuracy: 0.5909, prior_entropy: 0.9996, recall: 0.5909, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5761, kappa: 0.1556, kb_relative_information_score: 1.8342, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5801, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, f_measure: 0.4995, kappa: 0.0015, kb_relative_information_score: -3.3496, mean_absolute_error: 0.5194, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.501, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5761, kappa: 0.1556, kb_relative_information_score: 6.0543, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5801, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4207, f_measure: 0.4948, kappa: -0.0047, kb_relative_information_score: -3.6499, mean_absolute_error: 0.5196, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4978, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0397, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5585, root_relative_squared_error: 1.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4103, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -4.6162, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5222, kappa: 0.0469, kb_relative_information_score: -0.135, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5239, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6021, kappa: 0.2054, kb_relative_information_score: 8.3908, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6034, predictive_accuracy: 0.6023, prior_entropy: 0.9996, recall: 0.6023, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5, kappa: -0.0005, kb_relative_information_score: 1.8596, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5253, kappa: 0.0624, kb_relative_information_score: 0.6926, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5335, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.5686, kappa: 0.153, kb_relative_information_score: 2.767, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5841, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -0.1348, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.5, kappa: -0.0005, kb_relative_information_score: -0.8782, mean_absolute_error: 0.5061, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.0891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5677, kappa: 0.135, kb_relative_information_score: 2.052, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5679, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -0.1348, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, f_measure: 0.346, kb_relative_information_score: -0.1364, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5905, kappa: 0.1831, kb_relative_information_score: 13.5488, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5925, predictive_accuracy: 0.5909, prior_entropy: 0.9996, recall: 0.5909, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4506, f_measure: 0.4948, kappa: -0.0047, kb_relative_information_score: -1.3977, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4978, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5586, kappa: 0.1305, kb_relative_information_score: 11.9444, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5708, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6571, root_relative_squared_error: 1.3146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3873, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -7.0204, mean_absolute_error: 0.535, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0705, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5227, kappa: 0.045, kb_relative_information_score: 2.5454, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5227, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5569, kappa: 0.1136, kb_relative_information_score: 2.5759, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5571, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5794, kappa: 0.16, kb_relative_information_score: 8.4687, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5806, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3873, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -7.0204, mean_absolute_error: 0.535, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0705, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5091, kappa: 0.0257, kb_relative_information_score: 1.9373, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5135, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.699, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5682, kappa: 0.1368, kb_relative_information_score: 6.3456, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5688, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.346, kb_relative_information_score: 1.9373, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.699, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5222, kappa: 0.0469, kb_relative_information_score: 2.1868, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5239, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5566, kappa: 0.1127, kb_relative_information_score: 2.2218, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5222, kappa: 0.0469, kb_relative_information_score: 2.1868, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5239, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5426, kappa: 0.0876, kb_relative_information_score: 1.4985, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5449, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.5227, kappa: 0.045, kb_relative_information_score: 2.623, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5227, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5896, kappa: 0.1797, kb_relative_information_score: 15.9473, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5908, predictive_accuracy: 0.5909, prior_entropy: 0.9996, recall: 0.5909, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6396, root_relative_squared_error: 1.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.4616, kappa: -0.0536, kb_relative_information_score: -4.067, mean_absolute_error: 0.5227, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4704, predictive_accuracy: 0.4773, prior_entropy: 0.9996, recall: 0.4773, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.723, root_relative_squared_error: 1.4464, scimark_benchmark: 1280.301, usercpu_time_millis: 35437.5, usercpu_time_millis_training: 35437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5212, kappa: 0.0479, kb_relative_information_score: 3.9387, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5247, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6908, root_relative_squared_error: 1.3821, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4532, f_measure: 0.4528, kappa: -0.0937, kb_relative_information_score: -8.0699, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.453, predictive_accuracy: 0.4545, prior_entropy: 0.9996, recall: 0.4545, relative_absolute_error: 1.0915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.4775, scimark_benchmark: 1461.2356,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5637, kappa: 0.1323, kb_relative_information_score: -0.4034, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5687, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.513, root_relative_squared_error: 1.0262, 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: 0.5566, f_measure: 0.5407, kappa: 0.0867, kb_relative_information_score: 0.8475, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5451, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0058, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5586, kappa: 0.1305, kb_relative_information_score: 11.9444, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5708, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6571, root_relative_squared_error: 1.3146, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5091, kappa: 0.0257, kb_relative_information_score: 1.9373, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5135, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.699, root_relative_squared_error: 1.3984, scimark_benchmark: 1531.8421, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, f_measure: 0.4995, kappa: 0.0015, kb_relative_information_score: -3.3496, mean_absolute_error: 0.5194, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.501, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1086, scimark_benchmark: 969.7707, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6096, kappa: 0.2308, kb_relative_information_score: 11.8553, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6218, predictive_accuracy: 0.6136, prior_entropy: 0.9996, recall: 0.6136, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9799, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.5888, kappa: 0.2111, kb_relative_information_score: 12.8295, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6239, predictive_accuracy: 0.6023, prior_entropy: 0.9996, recall: 0.6023, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1385, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.4071, kappa: -0.077, kb_relative_information_score: 1.9157, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4419, predictive_accuracy: 0.4545, prior_entropy: 0.9996, recall: 0.4545, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.1922, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4649, kappa: -0.066, kb_relative_information_score: -1.0875, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4669, predictive_accuracy: 0.4659, prior_entropy: 0.9996, recall: 0.4659, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.053, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5905, kappa: 0.1831, kb_relative_information_score: 13.5488, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5925, predictive_accuracy: 0.5909, prior_entropy: 0.9996, recall: 0.5909, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0058, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4506, f_measure: 0.4948, kappa: -0.0047, kb_relative_information_score: -1.3977, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4978, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1136, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5383, kappa: 0.0857, kb_relative_information_score: 7.9415, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5455, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6742, root_relative_squared_error: 1.3487, scimark_benchmark: 1870.7932,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs