OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.6916, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.7825, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8777, kappa: 0.7518, kb_relative_information_score: 325.3661, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8914, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.5817, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 88.0293, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8933, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1454, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1533, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 234.3432, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1796, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.1428, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.8241, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2231, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0259, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8931, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 178.8213, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.0826, mean_absolute_error: 0.5054, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.765, kappa: 0.5228, kb_relative_information_score: 156.3845, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7654, predictive_accuracy: 0.766, prior_entropy: 0.991, recall: 0.766, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 417.3048, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.9805, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7314, kappa: 0.4552, kb_relative_information_score: 149.8438, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7313, predictive_accuracy: 0.732, prior_entropy: 0.991, recall: 0.732, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5057, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9058, kappa: 0.809, kb_relative_information_score: 362.1869, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.1264, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.1747, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.157, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.2878, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -12.1055, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: 5.7537, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4101, kappa: -0.012, kb_relative_information_score: -11.5595, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.4956, predictive_accuracy: 0.46, prior_entropy: 0.991, recall: 0.46, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.9683, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -18.1174, mean_absolute_error: 0.5061, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.5358, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.6823, kappa: 0.3617, kb_relative_information_score: 43.0029, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7063, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8944, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.6785, kappa: 0.3505, kb_relative_information_score: 103.7982, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6795, predictive_accuracy: 0.678, prior_entropy: 0.991, recall: 0.678, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.3904, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7446, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.312, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 359.067, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.3982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.8022, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.0271, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.078, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.9904, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.05, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.2248, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.555, kappa: 0.114, kb_relative_information_score: 41.2754, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5642, predictive_accuracy: 0.554, prior_entropy: 0.991, recall: 0.554, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6668, root_relative_squared_error: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8794, kappa: 0.7552, kb_relative_information_score: 291.1854, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8807, predictive_accuracy: 0.88, prior_entropy: 0.991, recall: 0.88, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1262, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8738, kappa: 0.744, kb_relative_information_score: 249.487, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.4102, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 184.7929, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0104, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.2908, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8855, kappa: 0.7675, kb_relative_information_score: 326.0051, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8866, predictive_accuracy: 0.886, prior_entropy: 0.991, recall: 0.886, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.752, kappa: 0.513, kb_relative_information_score: 38.3554, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.772, prior_entropy: 0.991, recall: 0.772, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6664, kappa: 0.3226, kb_relative_information_score: 72.6169, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.668, prior_entropy: 0.991, recall: 0.668, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.86, kappa: 0.7164, kb_relative_information_score: 255.4136, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.991, recall: 0.86, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.2665, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.3933, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9458, kappa: 0.8899, kb_relative_information_score: 378.3091, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9473, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 149.4054, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8933, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9079, kappa: 0.8132, kb_relative_information_score: 352.8144, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.9783, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 8.8175, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.0941, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8386, kappa: 0.6727, kb_relative_information_score: 310.3665, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8527, predictive_accuracy: 0.842, prior_entropy: 0.991, recall: 0.842, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7334, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 9.2373, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.5336, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.8276, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7536, kappa: 0.4994, kb_relative_information_score: 188.0883, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7562, predictive_accuracy: 0.756, prior_entropy: 0.991, recall: 0.756, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 10.3598, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9017, kappa: 0.8005, kb_relative_information_score: 372.5684, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9023, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8635, kappa: 0.7244, kb_relative_information_score: 180.7243, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8933, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.8714, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.093, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 442.1735, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 479.9141, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.109, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.407, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4604, kappa: 0.0046, kb_relative_information_score: -29.4962, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5093, predictive_accuracy: 0.48, prior_entropy: 0.991, recall: 0.48, relative_absolute_error: 1.0532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.748, kappa: 0.5317, kb_relative_information_score: 90.7527, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8425, predictive_accuracy: 0.756, prior_entropy: 0.991, recall: 0.756, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.4509, kappa: 0.0387, kb_relative_information_score: 12.5271, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5917, predictive_accuracy: 0.568, prior_entropy: 0.991, recall: 0.568, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7497, kappa: 0.4925, kb_relative_information_score: 138.0559, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.991, recall: 0.75, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6889, kappa: 0.3732, kb_relative_information_score: 65.2188, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6915, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3341, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.6308, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.654, kappa: 0.3412, kb_relative_information_score: 152.6408, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7045, predictive_accuracy: 0.66, prior_entropy: 0.991, recall: 0.66, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5796, root_relative_squared_error: 1.1665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.4842, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.2356, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.7403, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7882, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.8001, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 459.2313, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.2815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.183, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs