OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8462, kappa: 0.8322, kb_relative_information_score: 728.5145, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8489, predictive_accuracy: 0.8475, prior_entropy: 3.4594, recall: 0.8475, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8759, kappa: 0.8644, kb_relative_information_score: 645.6193, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8787, predictive_accuracy: 0.8768, prior_entropy: 3.4594, recall: 0.8768, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8454, kappa: 0.8322, kb_relative_information_score: 723.7964, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8495, predictive_accuracy: 0.8475, prior_entropy: 3.4594, recall: 0.8475, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8371, kappa: 0.8244, kb_relative_information_score: 546.4305, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8438, predictive_accuracy: 0.8404, prior_entropy: 3.4594, recall: 0.8404, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.7484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8819, kappa: 0.8711, kb_relative_information_score: 744.8132, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8832, predictive_accuracy: 0.8828, prior_entropy: 3.4594, recall: 0.8828, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9523, kappa: 0.9478, kb_relative_information_score: 770.226, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.5031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8638, kappa: 0.8511, kb_relative_information_score: 666.7367, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8658, predictive_accuracy: 0.8646, prior_entropy: 3.4594, recall: 0.8646, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8335, kappa: 0.82, kb_relative_information_score: 555.4981, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8394, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8212, kappa: 0.8056, kb_relative_information_score: 666.52, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8215, predictive_accuracy: 0.8232, prior_entropy: 3.4594, recall: 0.8232, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.833, kappa: 0.8189, kb_relative_information_score: 654.6127, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8369, predictive_accuracy: 0.8354, prior_entropy: 3.4594, recall: 0.8354, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.7635, kappa: 0.74, kb_relative_information_score: 763.9342, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7653, predictive_accuracy: 0.7636, prior_entropy: 3.4594, recall: 0.7636, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.786, kappa: 0.7678, kb_relative_information_score: 658.445, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7873, predictive_accuracy: 0.7889, prior_entropy: 3.4594, recall: 0.7889, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.7887, kappa: 0.7711, kb_relative_information_score: 635.1709, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7894, predictive_accuracy: 0.7919, prior_entropy: 3.4594, recall: 0.7919, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.901, kappa: 0.8922, kb_relative_information_score: 759.7603, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9018, predictive_accuracy: 0.902, prior_entropy: 3.4594, recall: 0.902, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8789, kappa: 0.8678, kb_relative_information_score: 739.9533, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8797, predictive_accuracy: 0.8798, prior_entropy: 3.4594, recall: 0.8798, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8676, kappa: 0.8556, kb_relative_information_score: 539.3212, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8693, predictive_accuracy: 0.8687, prior_entropy: 3.4594, recall: 0.8687, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9939, kappa: 0.9933, kb_relative_information_score: 947.86, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.4594, recall: 0.9939, relative_absolute_error: 0.0976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9391, kappa: 0.9333, kb_relative_information_score: 707.1657, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9403, predictive_accuracy: 0.9394, prior_entropy: 3.4594, recall: 0.9394, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7669, kappa: 0.75, kb_relative_information_score: 306.012, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7862, predictive_accuracy: 0.7727, prior_entropy: 3.4594, recall: 0.7727, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.6806, kappa: 0.6511, kb_relative_information_score: 589.1365, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.685, predictive_accuracy: 0.6828, prior_entropy: 3.4594, recall: 0.6828, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7152, kappa: 0.6978, kb_relative_information_score: 258.7451, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7424, predictive_accuracy: 0.7253, prior_entropy: 3.4594, recall: 0.7253, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.7946, kappa: 0.7756, kb_relative_information_score: 746.1111, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 3.4594, recall: 0.796, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.5787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.776, kappa: 0.7556, kb_relative_information_score: 679.0833, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7786, predictive_accuracy: 0.7778, prior_entropy: 3.4594, recall: 0.7778, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8083, kappa: 0.7933, kb_relative_information_score: 410.8818, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8145, predictive_accuracy: 0.8121, prior_entropy: 3.4594, recall: 0.8121, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8315, kappa: 0.8178, kb_relative_information_score: 592.775, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.837, predictive_accuracy: 0.8343, prior_entropy: 3.4594, recall: 0.8343, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.7075, kappa: 0.6811, kb_relative_information_score: 600.6753, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7099, predictive_accuracy: 0.7101, prior_entropy: 3.4594, recall: 0.7101, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.887, kappa: 0.8767, kb_relative_information_score: 614.1028, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8882, predictive_accuracy: 0.8879, prior_entropy: 3.4594, recall: 0.8879, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.7729, kappa: 0.7511, kb_relative_information_score: 748.7833, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7736, predictive_accuracy: 0.7737, prior_entropy: 3.4594, recall: 0.7737, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.4368, kappa: 0.3956, kb_relative_information_score: 403.6274, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4474, predictive_accuracy: 0.4505, prior_entropy: 3.4594, recall: 0.4505, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 32.4449, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2883, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.0301, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.532, kappa: 0.4878, kb_relative_information_score: 550.4245, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5318, predictive_accuracy: 0.5343, prior_entropy: 3.4594, recall: 0.5343, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.9954, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8009, kappa: 0.7822, kb_relative_information_score: 725.221, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8046, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7161, kappa: 0.69, kb_relative_information_score: 677.2963, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7188, predictive_accuracy: 0.7182, prior_entropy: 3.4594, recall: 0.7182, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.853, kappa: 0.84, kb_relative_information_score: 689.2006, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 3.4594, recall: 0.8545, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.177, root_relative_squared_error: 0.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.4641, kappa: 0.4256, kb_relative_information_score: 424.8605, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4695, predictive_accuracy: 0.4778, prior_entropy: 3.4594, recall: 0.4778, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.8513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9288, kappa: 0.9222, kb_relative_information_score: 787.2434, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9296, predictive_accuracy: 0.9293, prior_entropy: 3.4594, recall: 0.9293, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8472, kappa: 0.8344, kb_relative_information_score: 571.5669, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8521, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8609, kappa: 0.8478, kb_relative_information_score: 778.2758, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8619, predictive_accuracy: 0.8616, prior_entropy: 3.4594, recall: 0.8616, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8681, kappa: 0.8567, kb_relative_information_score: 803.2095, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8691, predictive_accuracy: 0.8697, prior_entropy: 3.4594, recall: 0.8697, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.5295, kappa: 0.4944, kb_relative_information_score: 486.3855, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5306, predictive_accuracy: 0.5404, prior_entropy: 3.4594, recall: 0.5404, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.2974, kappa: 0.2522, kb_relative_information_score: 277.9727, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3262, predictive_accuracy: 0.3202, prior_entropy: 3.4594, recall: 0.3202, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.7293, kappa: 0.7089, kb_relative_information_score: 621.0833, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7332, predictive_accuracy: 0.7354, prior_entropy: 3.4594, recall: 0.7354, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8256, kappa: 0.8089, kb_relative_information_score: 738.4157, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8271, predictive_accuracy: 0.8263, prior_entropy: 3.4594, recall: 0.8263, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.5227, kappa: 0.4856, kb_relative_information_score: 448.9052, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5277, predictive_accuracy: 0.5323, prior_entropy: 3.4594, recall: 0.5323, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9401, kappa: 0.9344, kb_relative_information_score: 742.1491, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 3.4594, recall: 0.9404, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.7499, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.8964, kappa: 0.8867, kb_relative_information_score: 805.5199, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8977, predictive_accuracy: 0.897, prior_entropy: 3.4594, recall: 0.897, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, kappa: 0.2144, kb_relative_information_score: 117.7754, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.2859, prior_entropy: 3.4594, recall: 0.2859, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.278, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, kappa: 0.0933, kb_relative_information_score: 77.2496, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.1758, prior_entropy: 3.4594, recall: 0.1758, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.284, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8469, kappa: 0.8333, kb_relative_information_score: 580.6945, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 3.4594, recall: 0.8485, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 57.7298, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2913, root_relative_squared_error: 1.0132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.7979, kappa: 0.7822, kb_relative_information_score: 632.8411, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7994, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9402, kappa: 0.9344, kb_relative_information_score: 781.3217, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.941, predictive_accuracy: 0.9404, prior_entropy: 3.4594, recall: 0.9404, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8207, kappa: 0.8033, kb_relative_information_score: 795.555, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8217, predictive_accuracy: 0.8212, prior_entropy: 3.4594, recall: 0.8212, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.4658, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.87, kappa: 0.8578, kb_relative_information_score: 790.9088, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8705, predictive_accuracy: 0.8707, prior_entropy: 3.4594, recall: 0.8707, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.434, kappa: 0.3867, kb_relative_information_score: 422.7015, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4393, predictive_accuracy: 0.4424, prior_entropy: 3.4594, recall: 0.4424, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.248, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.0165, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2901, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8988, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.5556, kappa: 0.52, kb_relative_information_score: 458.0634, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5636, prior_entropy: 3.4594, recall: 0.5636, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.235, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.4706, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.384, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.0337, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.5017, kappa: 0.4667, kb_relative_information_score: 419.2045, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5119, predictive_accuracy: 0.5152, prior_entropy: 3.4594, recall: 0.5152, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 110.3931, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3008, root_relative_squared_error: 1.0462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.2435, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, kappa: 0.0089, kb_relative_information_score: 62.5453, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.099, prior_entropy: 3.4594, recall: 0.099, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.4089, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.0326, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8332, kappa: 0.8156, kb_relative_information_score: 801.1185, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8353, predictive_accuracy: 0.8323, prior_entropy: 3.4594, recall: 0.8323, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.7013, kappa: 0.6756, kb_relative_information_score: 579.3718, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7053, predictive_accuracy: 0.7051, prior_entropy: 3.4594, recall: 0.7051, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9051, kappa: 0.8967, kb_relative_information_score: 691.1569, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9073, predictive_accuracy: 0.9061, prior_entropy: 3.4594, recall: 0.9061, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.174, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.7658, kappa: 0.7456, kb_relative_information_score: 664.7782, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7656, predictive_accuracy: 0.7687, prior_entropy: 3.4594, recall: 0.7687, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.93, kappa: 0.9233, kb_relative_information_score: 814.3877, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9307, predictive_accuracy: 0.9303, prior_entropy: 3.4594, recall: 0.9303, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.6242, kappa: 0.5844, kb_relative_information_score: 554.0869, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6282, predictive_accuracy: 0.6222, prior_entropy: 3.4594, recall: 0.6222, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 71.3093, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.294, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.3781, kappa: 0.3267, kb_relative_information_score: 371.2408, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3917, predictive_accuracy: 0.3879, prior_entropy: 3.4594, recall: 0.3879, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.263, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7302, kappa: 0.7089, kb_relative_information_score: 577.4792, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7334, predictive_accuracy: 0.7354, prior_entropy: 3.4594, recall: 0.7354, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.4057, kappa: 0.3833, kb_relative_information_score: 280.4395, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4362, predictive_accuracy: 0.4394, prior_entropy: 3.4594, recall: 0.4394, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.6704, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.288, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.7254, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.405, kappa: 0.3667, kb_relative_information_score: 328.9148, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4336, predictive_accuracy: 0.4242, prior_entropy: 3.4594, recall: 0.4242, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8239, kappa: 0.8067, kb_relative_information_score: 738.3601, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8256, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7729, kappa: 0.7522, kb_relative_information_score: 684.1581, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7744, predictive_accuracy: 0.7747, prior_entropy: 3.4594, recall: 0.7747, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.5409, kappa: 0.5067, kb_relative_information_score: 503.8985, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5583, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7825, kappa: 0.7656, kb_relative_information_score: 419.5712, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7921, predictive_accuracy: 0.7869, prior_entropy: 3.4594, recall: 0.7869, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.7341, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2888, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.496, kappa: 0.45, kb_relative_information_score: 482.102, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4985, predictive_accuracy: 0.5, prior_entropy: 3.4594, recall: 0.5, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.8953, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.6201, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8344, kappa: 0.82, kb_relative_information_score: 577.2486, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.837, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.207, root_relative_squared_error: 0.72,

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