Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59474 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59474 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7212, kappa: 0.4423, kb_relative_information_score: 1008.0553, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7212, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6368, kappa: 0.2738, kb_relative_information_score: 595.4295, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6371, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 551.1881, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6219, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 4.1026, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5654, kappa: 0.1308, kb_relative_information_score: 233.5428, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5654, predictive_accuracy: 0.5654, prior_entropy: 1, recall: 0.5654, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6365, kappa: 0.2731, kb_relative_information_score: 528.1317, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6365, predictive_accuracy: 0.6365, prior_entropy: 1, recall: 0.6365, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 532, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6023, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6306, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4215, kappa: 0.0085, kb_relative_information_score: 22, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5099, predictive_accuracy: 0.5042, prior_entropy: 1, recall: 0.5042, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7041, root_relative_squared_error: 1.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5667, kappa: 0.1492, kb_relative_information_score: 390.1247, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5805, predictive_accuracy: 0.5746, prior_entropy: 1, recall: 0.5746, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5415, kappa: 0.0846, kb_relative_information_score: 220, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5426, predictive_accuracy: 0.5423, prior_entropy: 1, recall: 0.5423, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6765, root_relative_squared_error: 1.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.4724, kappa: 0.0131, kb_relative_information_score: 0.0204, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5088, predictive_accuracy: 0.5065, prior_entropy: 1, recall: 0.5065, 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: 0.7312, f_measure: 0.7289, kappa: 0.4623, kb_relative_information_score: 1202, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7392, predictive_accuracy: 0.7312, prior_entropy: 1, recall: 0.7312, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7518, kappa: 0.5038, kb_relative_information_score: 1036.8162, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7523, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.6087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6256, kappa: 0.2515, kb_relative_information_score: 634.9729, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.626, predictive_accuracy: 0.6258, prior_entropy: 1, recall: 0.6258, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.713, kappa: 0.4269, kb_relative_information_score: 765.3178, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7147, predictive_accuracy: 0.7135, prior_entropy: 1, recall: 0.7135, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6396, kappa: 0.2962, kb_relative_information_score: 381.0479, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6635, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 1276.4879, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.805, predictive_accuracy: 0.805, prior_entropy: 1, recall: 0.805, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7317, kappa: 0.4638, kb_relative_information_score: 1173.9309, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7325, predictive_accuracy: 0.7319, prior_entropy: 1, recall: 0.7319, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7168, kappa: 0.4346, kb_relative_information_score: 762.5222, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.719, predictive_accuracy: 0.7173, prior_entropy: 1, recall: 0.7173, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7903, kappa: 0.5808, kb_relative_information_score: 937.913, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7908, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.6686, kappa: 0.3377, kb_relative_information_score: 508.3559, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6694, predictive_accuracy: 0.6688, prior_entropy: 1, recall: 0.6688, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7361, kappa: 0.4723, kb_relative_information_score: 728.9613, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7362, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5099, kappa: 0.0223, kb_relative_information_score: 0.1031, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5113, predictive_accuracy: 0.5112, prior_entropy: 1, recall: 0.5112, 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: 0.6395, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 192.5878, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5984, kappa: 0.1969, kb_relative_information_score: 437.18, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5496, kappa: 0.0992, kb_relative_information_score: 258, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5496, predictive_accuracy: 0.5496, prior_entropy: 1, recall: 0.5496, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1149.3453, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7728, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.5974, kappa: 0.2062, kb_relative_information_score: 274.4527, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6093, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.5964, kappa: 0.1931, kb_relative_information_score: 437.8825, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5966, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 540, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6038, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6294, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.6927, kappa: 0.3854, kb_relative_information_score: 820.9061, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6927, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6524, kappa: 0.3054, kb_relative_information_score: 182.0221, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6531, predictive_accuracy: 0.6527, prior_entropy: 1, recall: 0.6527, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7291, kappa: 0.4585, kb_relative_information_score: 1027.7002, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7297, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5714, kappa: 0.1446, kb_relative_information_score: 75.8306, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.573, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5415, kappa: 0.0846, kb_relative_information_score: 219.8644, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5426, predictive_accuracy: 0.5423, prior_entropy: 1, recall: 0.5423, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.6919, kappa: 0.3838, kb_relative_information_score: 1001.3387, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.692, predictive_accuracy: 0.6919, prior_entropy: 1, recall: 0.6919, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 400.7136, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5742, predictive_accuracy: 0.5742, prior_entropy: 1, recall: 0.5742, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6077, root_relative_squared_error: 1.2154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.5554, kappa: 0.1115, kb_relative_information_score: 305.6189, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.556, predictive_accuracy: 0.5558, prior_entropy: 1, recall: 0.5558, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5695, f_measure: 0.5569, kappa: 0.1146, kb_relative_information_score: 189.3502, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5575, predictive_accuracy: 0.5573, prior_entropy: 1, recall: 0.5573, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.0988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5734, kappa: 0.1469, kb_relative_information_score: 382, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5735, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.7061, kappa: 0.4123, kb_relative_information_score: 1049.447, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7064, predictive_accuracy: 0.7062, prior_entropy: 1, recall: 0.7062, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5527, kappa: 0.1092, kb_relative_information_score: 252.8527, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5556, predictive_accuracy: 0.5546, prior_entropy: 1, recall: 0.5546, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.723, kappa: 0.4462, kb_relative_information_score: 1086.6285, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7233, predictive_accuracy: 0.7231, prior_entropy: 1, recall: 0.7231, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6077, kappa: 0.2154, kb_relative_information_score: 560, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6263, root_relative_squared_error: 1.2527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7346, kappa: 0.4692, kb_relative_information_score: 1092.89, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7347, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7308, kappa: 0.4615, kb_relative_information_score: 1051.3877, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 1, recall: 0.7308, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7335, kappa: 0.4669, kb_relative_information_score: 989.415, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7335, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6196, kappa: 0.2392, kb_relative_information_score: 235.6472, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6197, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.477, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.733, kappa: 0.4662, kb_relative_information_score: 916.1282, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7333, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7207, kappa: 0.4415, kb_relative_information_score: 844.9287, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7209, predictive_accuracy: 0.7208, prior_entropy: 1, recall: 0.7208, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.5448, kappa: 0.1046, kb_relative_information_score: 212.6656, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.556, predictive_accuracy: 0.5523, prior_entropy: 1, recall: 0.5523, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7031, kappa: 0.4062, kb_relative_information_score: 784.2982, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7031, predictive_accuracy: 0.7031, prior_entropy: 1, recall: 0.7031, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.7054, kappa: 0.4108, kb_relative_information_score: 1061.9576, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7054, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6938, kappa: 0.3877, kb_relative_information_score: 677.2048, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6939, predictive_accuracy: 0.6938, prior_entropy: 1, recall: 0.6938, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6971, kappa: 0.3946, kb_relative_information_score: 593.9357, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6979, predictive_accuracy: 0.6973, prior_entropy: 1, recall: 0.6973, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.6838, kappa: 0.3677, kb_relative_information_score: 509.7029, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6839, predictive_accuracy: 0.6838, prior_entropy: 1, recall: 0.6838, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6584, kappa: 0.3169, kb_relative_information_score: 440.2341, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6585, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6014, kappa: 0.2031, kb_relative_information_score: 112.4638, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6017, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6369, kappa: 0.2738, kb_relative_information_score: 169.1847, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6369, predictive_accuracy: 0.6369, prior_entropy: 1, recall: 0.6369, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5548, kappa: 0.11, kb_relative_information_score: 285.452, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5551, predictive_accuracy: 0.555, prior_entropy: 1, recall: 0.555, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6665, root_relative_squared_error: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6492, kappa: 0.2985, kb_relative_information_score: 208.2533, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6493, predictive_accuracy: 0.6492, prior_entropy: 1, recall: 0.6492, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6708, kappa: 0.3415, kb_relative_information_score: 276.7748, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6708, predictive_accuracy: 0.6708, prior_entropy: 1, recall: 0.6708, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1140.5785, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7696, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7054, kappa: 0.4108, kb_relative_information_score: 356.1032, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7055, predictive_accuracy: 0.7054, prior_entropy: 1, recall: 0.7054, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.456, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7278, kappa: 0.4562, kb_relative_information_score: 442.5795, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7289, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6187, kappa: 0.2377, kb_relative_information_score: 323.0711, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.619, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.5882, kappa: 0.1869, kb_relative_information_score: 271.9757, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8304, kappa: 0.6608, kb_relative_information_score: 1048.4717, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8304, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6357, kappa: 0.2715, kb_relative_information_score: 366.6454, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6359, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6077, kappa: 0.2154, kb_relative_information_score: 167.5886, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7667, kappa: 0.5338, kb_relative_information_score: 572.7229, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7679, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7848, kappa: 0.57, kb_relative_information_score: 683.7962, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.786, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8049, kappa: 0.61, kb_relative_information_score: 793.8735, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8055, predictive_accuracy: 0.805, prior_entropy: 1, recall: 0.805, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.6179, kappa: 0.2369, kb_relative_information_score: 239.1042, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6192, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 903.0851, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8392, kappa: 0.6785, kb_relative_information_score: 976.3581, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 1071.3803, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8429, predictive_accuracy: 0.8427, prior_entropy: 1, recall: 0.8427, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8431, kappa: 0.6862, kb_relative_information_score: 1100.8384, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8431, predictive_accuracy: 0.8431, prior_entropy: 1, recall: 0.8431, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7057, kappa: 0.4115, kb_relative_information_score: 747.7401, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.706, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.44, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7116, kappa: 0.4238, kb_relative_information_score: 850.2786, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7128, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7646, kappa: 0.53, kb_relative_information_score: 1226.473, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7667, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7079, kappa: 0.4169, kb_relative_information_score: 527.7358, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7101, predictive_accuracy: 0.7085, prior_entropy: 1, recall: 0.7085, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.6714, kappa: 0.3431, kb_relative_information_score: 867.0444, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6718, predictive_accuracy: 0.6715, prior_entropy: 1, recall: 0.6715, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6961, kappa: 0.3923, kb_relative_information_score: 927.0714, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6962, predictive_accuracy: 0.6962, prior_entropy: 1, recall: 0.6962, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7214, kappa: 0.4431, kb_relative_information_score: 790.3231, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7221, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6365, kappa: 0.2731, kb_relative_information_score: 449.9382, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6366, predictive_accuracy: 0.6365, prior_entropy: 1, recall: 0.6365, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6253, kappa: 0.2508, kb_relative_information_score: 219.2827, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6255, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.779, kappa: 0.5585, kb_relative_information_score: 1278.4041, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7805, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6204, kappa: 0.2408, kb_relative_information_score: 597.5277, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6204, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.5926, kappa: 0.1885, kb_relative_information_score: 451.6251, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5958, predictive_accuracy: 0.5942, prior_entropy: 1, recall: 0.5942, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5838, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6133, kappa: 0.2269, kb_relative_information_score: 604.2906, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6136, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5768, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1343.7085, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7629, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5972, kappa: 0.1946, kb_relative_information_score: 506, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5974, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6346, root_relative_squared_error: 1.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6927, kappa: 0.3854, kb_relative_information_score: 1001.7658, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6927, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5423, root_relative_squared_error: 1.0847,

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