Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54817 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1348, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7593, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.753, kappa: 0.5062, kb_relative_information_score: 1282.4113, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1322.6506, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.764, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7842, kappa: 0.5685, kb_relative_information_score: 1268.1467, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7845, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7595, kappa: 0.5192, kb_relative_information_score: 1225.8075, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7603, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.755, kappa: 0.51, kb_relative_information_score: 1346.2856, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7551, predictive_accuracy: 0.755, prior_entropy: 1, recall: 0.755, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1381.4249, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7727, predictive_accuracy: 0.7727, prior_entropy: 1, recall: 0.7727, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1238.9394, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7721, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7627, kappa: 0.5254, kb_relative_information_score: 1267.6814, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7581, kappa: 0.5162, kb_relative_information_score: 1251.5932, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1268.1179, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1244.3782, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.761, kappa: 0.5223, kb_relative_information_score: 1227.0434, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7617, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 1396.055, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7762, kappa: 0.5523, kb_relative_information_score: 1410.9498, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7753, kappa: 0.5508, kb_relative_information_score: 1372.6588, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7756, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7634, kappa: 0.5269, kb_relative_information_score: 1360.7538, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1250.1353, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7766, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1367.2875, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1381.7005, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7657, kappa: 0.5315, kb_relative_information_score: 1363.0644, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.766, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1268.1304, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.759, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1392.7655, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1396.7164, mean_absolute_error: 0.232, 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: 0.464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1265.403, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1353.6099, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.785, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.414, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7623, kappa: 0.5246, kb_relative_information_score: 1317.9739, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7625, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1301.424, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1374.4237, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7709, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4742, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1389.177, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7704, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7762, kappa: 0.5523, kb_relative_information_score: 1409.9153, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7762, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1256.93, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7798, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1308.0393, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1243.6214, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7562, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7865, kappa: 0.5731, kb_relative_information_score: 1301.4938, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7866, predictive_accuracy: 0.7865, prior_entropy: 1, recall: 0.7865, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7677, kappa: 0.5354, kb_relative_information_score: 1399.5207, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7677, predictive_accuracy: 0.7677, prior_entropy: 1, recall: 0.7677, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1430.0212, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.454, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1410.9852, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7615, kappa: 0.5231, kb_relative_information_score: 1308.0805, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1337.9196, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.763, kappa: 0.5262, kb_relative_information_score: 1285.2535, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7633, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1381.406, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1420.415, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.772, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7519, kappa: 0.5038, kb_relative_information_score: 1244.6362, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.752, predictive_accuracy: 0.7519, prior_entropy: 1, recall: 0.7519, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1333.4545, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7639, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1256.758, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7798, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7491, kappa: 0.4985, kb_relative_information_score: 1340.9703, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7498, predictive_accuracy: 0.7492, prior_entropy: 1, recall: 0.7492, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1304.1155, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7727, kappa: 0.5454, kb_relative_information_score: 1360.0489, mean_absolute_error: 0.2406, 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: 0.4812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7608, kappa: 0.5215, kb_relative_information_score: 1357.1357, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1377.5683, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7689, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8727,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7804, kappa: 0.5608, kb_relative_information_score: 1387.9675, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7805, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7719, kappa: 0.5438, kb_relative_information_score: 1402.0377, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7719, predictive_accuracy: 0.7719, prior_entropy: 1, recall: 0.7719, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7834, kappa: 0.5669, kb_relative_information_score: 1266.1868, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7836, predictive_accuracy: 0.7835, prior_entropy: 1, recall: 0.7835, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8199,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1246.3261, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1294.2761, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7665, kappa: 0.5331, kb_relative_information_score: 1333.4664, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7666, predictive_accuracy: 0.7665, prior_entropy: 1, recall: 0.7665, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7804, kappa: 0.5608, kb_relative_information_score: 1407.2226, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7804, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7658, kappa: 0.5315, kb_relative_information_score: 1325.5453, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7659, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.785, kappa: 0.57, kb_relative_information_score: 1347.4324, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.785, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.783, kappa: 0.5662, kb_relative_information_score: 1264.0145, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7834, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1295.189, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7847, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7684, kappa: 0.5369, kb_relative_information_score: 1345.0327, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7687, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7563, kappa: 0.5131, kb_relative_information_score: 1351.6409, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7515, kappa: 0.5031, kb_relative_information_score: 1241.5478, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7516, predictive_accuracy: 0.7515, prior_entropy: 1, recall: 0.7515, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1334.6048, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7675, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1294.6553, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.773, kappa: 0.5462, kb_relative_information_score: 1390.8812, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7734, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7553, kappa: 0.5108, kb_relative_information_score: 1359.1258, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1375.3361, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7778, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1368.7797, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7744, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1349.8076, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7662, kappa: 0.5323, kb_relative_information_score: 1390.4481, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1366.1156, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7781, kappa: 0.5562, kb_relative_information_score: 1360.084, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7781, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1246.2892, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7795, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7754, kappa: 0.5508, kb_relative_information_score: 1380.5989, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7754, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1284.5469, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7563, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7672, kappa: 0.5346, kb_relative_information_score: 1356.6507, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7679, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7624, kappa: 0.5254, kb_relative_information_score: 1369.6098, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7638, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7603, kappa: 0.5208, kb_relative_information_score: 1277.6298, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7607, predictive_accuracy: 0.7604, prior_entropy: 1, recall: 0.7604, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1300.7615, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.761, kappa: 0.5223, kb_relative_information_score: 1362.6068, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7618, predictive_accuracy: 0.7612, prior_entropy: 1, recall: 0.7612, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1237.0919, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7708, kappa: 0.5415, kb_relative_information_score: 1384.2993, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7708, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7496, kappa: 0.4992, kb_relative_information_score: 1244.6383, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7497, predictive_accuracy: 0.7496, prior_entropy: 1, recall: 0.7496, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7592, kappa: 0.5185, kb_relative_information_score: 1346.4391, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7594, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.7838, kappa: 0.5677, kb_relative_information_score: 1287.6138, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5179, 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: 0.8232, f_measure: 0.7576, kappa: 0.5154, kb_relative_information_score: 1270.772, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7581, predictive_accuracy: 0.7577, prior_entropy: 1, recall: 0.7577, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7561, kappa: 0.5123, kb_relative_information_score: 1224.8537, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7564, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1376.798, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1405.8361, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1287.4643, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7572, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8673,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs