OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5155, kappa: 0.0314, kb_relative_information_score: 9.9168, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5157, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.5102, kappa: 0.0479, kb_relative_information_score: 13.2823, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.527, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5408, kappa: 0.0825, kb_relative_information_score: 62.5158, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5414, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -2.6676, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6388, root_relative_squared_error: 1.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0316, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.4971, kappa: 0.0446, kb_relative_information_score: 9.5051, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5278, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.5168, kappa: 0.0363, kb_relative_information_score: 5.0613, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5184, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.5279, kappa: 0.0594, kb_relative_information_score: 3.3801, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5302, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.451, kb_relative_information_score: -0.0668, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.4851, kappa: -0.0165, kb_relative_information_score: 8.0667, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4913, predictive_accuracy: 0.4917, prior_entropy: 1, recall: 0.4917, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: -0.0167, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.5305, kappa: 0.0611, kb_relative_information_score: 7.932, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5305, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.5249, kappa: 0.0512, kb_relative_information_score: 7.4256, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.5014, kappa: 0.005, kb_relative_information_score: -7.2268, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5886, root_relative_squared_error: 1.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.451, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.4707, kappa: 0.0198, kb_relative_information_score: 9.5466, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.512, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5271, kappa: 0.0545, kb_relative_information_score: 12.9494, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5272, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.4479, kappa: 0.0297, kb_relative_information_score: 36, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5288, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6965, root_relative_squared_error: 1.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.462, kappa: -0.0759, kb_relative_information_score: -92, mean_absolute_error: 0.538, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.462, predictive_accuracy: 0.462, prior_entropy: 1, recall: 0.462, relative_absolute_error: 1.0759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7335, root_relative_squared_error: 1.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4636, kappa: -0.0726, kb_relative_information_score: -88, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4637, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7271, kappa: 0.4835, kb_relative_information_score: 586, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.808, predictive_accuracy: 0.7417, prior_entropy: 1, recall: 0.7417, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.4853, kappa: 0.132, kb_relative_information_score: 160, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6771, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4478, kappa: 0.0446, kb_relative_information_score: 54, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5483, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5636, kappa: 0.1832, kb_relative_information_score: 222, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6232, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6391, root_relative_squared_error: 1.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6116, kappa: 0.3069, kb_relative_information_score: 372, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7699, predictive_accuracy: 0.6535, prior_entropy: 1, recall: 0.6535, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.5984, kappa: 0.2657, kb_relative_information_score: 322, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7022, predictive_accuracy: 0.6328, prior_entropy: 1, recall: 0.6328, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6059, root_relative_squared_error: 1.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7417, kappa: 0.4901, kb_relative_information_score: 594, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7587, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.526, kappa: 0.1056, kb_relative_information_score: 128, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5682, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.4461, kappa: 0.0792, kb_relative_information_score: 96, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.622, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4694, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4695, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4686, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4686, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5241, kappa: 0.1089, kb_relative_information_score: 132, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5731, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6675, root_relative_squared_error: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4636, kappa: -0.0726, kb_relative_information_score: -88, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4637, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5187, kappa: 0.1518, kb_relative_information_score: 184, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6448, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4679, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4938, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5215, kappa: 0.0495, kb_relative_information_score: 60, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5254, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6894, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4711, f_measure: 0.4676, kappa: -0.0578, kb_relative_information_score: -70, mean_absolute_error: 0.5289, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4711, prior_entropy: 1, recall: 0.4711, relative_absolute_error: 1.0578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7272, root_relative_squared_error: 1.4545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.4041, kappa: 0.0627, kb_relative_information_score: 76, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7147, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6846, root_relative_squared_error: 1.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5691, kappa: 0.2096, kb_relative_information_score: 254, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6568, predictive_accuracy: 0.6048, prior_entropy: 1, recall: 0.6048, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6287, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6448, kappa: 0.3366, kb_relative_information_score: 408, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.729, predictive_accuracy: 0.6683, prior_entropy: 1, recall: 0.6683, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.1518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.486, kappa: -0.0281, kb_relative_information_score: -34, mean_absolute_error: 0.514, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.486, predictive_accuracy: 0.486, prior_entropy: 1, recall: 0.486, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.717, root_relative_squared_error: 1.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4901, kappa: -0.0198, kb_relative_information_score: -24, mean_absolute_error: 0.5099, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4901, predictive_accuracy: 0.4901, prior_entropy: 1, recall: 0.4901, relative_absolute_error: 1.0198, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.4469, kappa: 0.0149, kb_relative_information_score: 18, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5132, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.528, kappa: 0.198, kb_relative_information_score: 240, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7485, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.455, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4919, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5991, kappa: 0.2409, kb_relative_information_score: 292, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6532, predictive_accuracy: 0.6205, prior_entropy: 1, recall: 0.6205, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.6105, kappa: 0.2756, kb_relative_information_score: 334, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6915, predictive_accuracy: 0.6378, prior_entropy: 1, recall: 0.6378, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.3832, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5109, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.504, kappa: 0.0644, kb_relative_information_score: 78, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5417, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.684, root_relative_squared_error: 1.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.4652, kappa: 0.1205, kb_relative_information_score: 146, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7084, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6632, root_relative_squared_error: 1.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.3876, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5099, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6345, kappa: 0.3383, kb_relative_information_score: 410, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7723, predictive_accuracy: 0.6691, prior_entropy: 1, recall: 0.6691, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5752, root_relative_squared_error: 1.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4282, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4457, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4632, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.4627, kappa: 0.0594, kb_relative_information_score: 72, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5593, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4901, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5027, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.6584, kappa: 0.3597, kb_relative_information_score: 436, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7404, predictive_accuracy: 0.6799, prior_entropy: 1, recall: 0.6799, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.5172, kappa: 0.0842, kb_relative_information_score: 102, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.553, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.4886, kappa: -0.0149, kb_relative_information_score: -18, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4923, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5214, kappa: 0.0429, kb_relative_information_score: 52, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5048, kappa: 0.0099, kb_relative_information_score: 12, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.505, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.409, kappa: 0.0561, kb_relative_information_score: 68, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6445, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.687, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6078, kappa: 0.2525, kb_relative_information_score: 306, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6555, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4793, kappa: -0.0413, kb_relative_information_score: -50, mean_absolute_error: 0.5206, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4794, predictive_accuracy: 0.4794, prior_entropy: 1, recall: 0.4794, relative_absolute_error: 1.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.4509, kappa: 0.0446, kb_relative_information_score: 54, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5464, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4678, f_measure: 0.4678, kappa: -0.0644, kb_relative_information_score: -78, mean_absolute_error: 0.5322, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4678, predictive_accuracy: 0.4678, prior_entropy: 1, recall: 0.4678, relative_absolute_error: 1.0644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7295, root_relative_squared_error: 1.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.4863, kappa: 0.0908, kb_relative_information_score: 110, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.584, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6743, root_relative_squared_error: 1.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4533, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4983, prior_entropy: 1, recall: 0.4983, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4777, kappa: -0.0446, kb_relative_information_score: -54, mean_absolute_error: 0.5223, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4777, predictive_accuracy: 0.4777, prior_entropy: 1, recall: 0.4777, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4893, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4932, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7118, root_relative_squared_error: 1.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.3909, kappa: 0.0363, kb_relative_information_score: 44, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6105, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4719, f_measure: 0.4718, kappa: -0.0561, kb_relative_information_score: -68, mean_absolute_error: 0.5281, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4719, predictive_accuracy: 0.4719, prior_entropy: 1, recall: 0.4719, relative_absolute_error: 1.0561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7267, root_relative_squared_error: 1.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4644, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4645, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4669, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.467, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4744, kappa: -0.0512, kb_relative_information_score: -62, mean_absolute_error: 0.5256, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4744, predictive_accuracy: 0.4744, prior_entropy: 1, recall: 0.4744, relative_absolute_error: 1.0512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.725, root_relative_squared_error: 1.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3824, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.624, kappa: 0.3003, kb_relative_information_score: 364, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7082, predictive_accuracy: 0.6502, prior_entropy: 1, recall: 0.6502, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.4653, kappa: -0.0693, kb_relative_information_score: -84, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4653, predictive_accuracy: 0.4653, prior_entropy: 1, recall: 0.4653, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7312, root_relative_squared_error: 1.4624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -48, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.5949, kappa: 0.2459, kb_relative_information_score: 298, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6701, predictive_accuracy: 0.6229, prior_entropy: 1, recall: 0.6229, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6141, root_relative_squared_error: 1.2281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.462, kappa: -0.0759, kb_relative_information_score: -92, mean_absolute_error: 0.538, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.462, predictive_accuracy: 0.462, prior_entropy: 1, recall: 0.462, relative_absolute_error: 1.0759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7335, root_relative_squared_error: 1.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4613, kappa: -0.0611, kb_relative_information_score: -74, mean_absolute_error: 0.5305, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4675, predictive_accuracy: 0.4695, prior_entropy: 1, recall: 0.4695, relative_absolute_error: 1.0611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7284, root_relative_squared_error: 1.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6034, kappa: 0.2954, kb_relative_information_score: 358, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7669, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4703, kappa: -0.0594, kb_relative_information_score: -72, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4703, prior_entropy: 1, recall: 0.4703, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5017, kappa: 0.0363, kb_relative_information_score: 44, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5209, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.5265, kappa: 0.0677, kb_relative_information_score: 82, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5361, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6828, root_relative_squared_error: 1.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5659, kappa: 0.1782, kb_relative_information_score: 216, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6133, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.641, root_relative_squared_error: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.6402, kappa: 0.3432, kb_relative_information_score: 416, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7636, predictive_accuracy: 0.6716, prior_entropy: 1, recall: 0.6716, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.573, root_relative_squared_error: 1.1461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.522, kappa: 0.0495, kb_relative_information_score: 60, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5253, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6894, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.4462, kappa: 0.0248, kb_relative_information_score: 30, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5237, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.5301, kappa: 0.1997, kb_relative_information_score: 242, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7458, predictive_accuracy: 0.5998, prior_entropy: 1, recall: 0.5998, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.4014, kappa: 0.0132, kb_relative_information_score: 16, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5222, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5476, kappa: 0.2145, kb_relative_information_score: 260, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7269, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6267, root_relative_squared_error: 1.2534,

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