Task
Supervised Data Stream Classification on BNG(spambase)

Supervised Data Stream Classification on BNG(spambase)

Task 175 Supervised Data Stream Classification BNG(spambase) 214 runs submitted
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  • binstreams ecmlpkdd2015 streamensembles streams streams-full study_11
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.5704, kappa: 0.1575, kb_relative_information_score: 312232, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7336, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5827, kappa: 0.1746, kb_relative_information_score: 313884.9541, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7273, predictive_accuracy: 0.6611, prior_entropy: 1, recall: 0.6611, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5773, root_relative_squared_error: 1.1545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.587, kappa: 0.1804, kb_relative_information_score: 287999.8621, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7236, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5701, kappa: 0.1572, kb_relative_information_score: 312198, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7347, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5882, kappa: 0.1813, kb_relative_information_score: 325095.8013, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7196, predictive_accuracy: 0.6626, prior_entropy: 1, recall: 0.6626, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5806, root_relative_squared_error: 1.1611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5838, kappa: 0.1762, kb_relative_information_score: 314697.4663, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7272, predictive_accuracy: 0.6616, prior_entropy: 1, recall: 0.6616, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.5929, kappa: 0.1883, kb_relative_information_score: 329433.9864, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7193, predictive_accuracy: 0.6647, prior_entropy: 1, recall: 0.6647, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5353, kappa: 0.0995, kb_relative_information_score: 122953.1324, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6894, predictive_accuracy: 0.6353, prior_entropy: 1, recall: 0.6353, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.472, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5832, kappa: 0.175, kb_relative_information_score: 312755.5781, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7251, predictive_accuracy: 0.6611, prior_entropy: 1, recall: 0.6611, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.579, root_relative_squared_error: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5703, kappa: 0.1548, kb_relative_information_score: 270571.1712, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7206, predictive_accuracy: 0.6544, prior_entropy: 1, recall: 0.6544, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.5862, kappa: 0.1792, kb_relative_information_score: 318733.069, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7241, predictive_accuracy: 0.6623, prior_entropy: 1, recall: 0.6623, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.1555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4573, kb_relative_information_score: 190501.5362, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, recall: 0.6059, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5877, root_relative_squared_error: 1.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.574, kappa: 0.1614, kb_relative_information_score: 313646, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7258, predictive_accuracy: 0.6568, prior_entropy: 1, recall: 0.6568, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5858, root_relative_squared_error: 1.1716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5837, kappa: 0.1743, kb_relative_information_score: 320714, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7191, predictive_accuracy: 0.6604, prior_entropy: 1, recall: 0.6604, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5828, root_relative_squared_error: 1.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5906, kappa: 0.1851, kb_relative_information_score: 314872.4033, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7207, predictive_accuracy: 0.6639, prior_entropy: 1, recall: 0.6639, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5766, root_relative_squared_error: 1.1532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.5934, kappa: 0.1831, kb_relative_information_score: 188276.9185, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6953, predictive_accuracy: 0.6605, prior_entropy: 1, recall: 0.6605, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.5947, kappa: 0.1897, kb_relative_information_score: 197891.6337, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7137, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.5951, kappa: 0.1834, kb_relative_information_score: 130511.5272, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6877, predictive_accuracy: 0.6595, prior_entropy: 1, recall: 0.6595, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.5973, kappa: 0.194, kb_relative_information_score: 201611.1827, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.715, predictive_accuracy: 0.6661, prior_entropy: 1, recall: 0.6661, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.5973, kappa: 0.194, kb_relative_information_score: 201658.6406, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7153, predictive_accuracy: 0.6661, prior_entropy: 1, recall: 0.6661, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.5973, kappa: 0.194, kb_relative_information_score: 201658.6406, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7153, predictive_accuracy: 0.6661, prior_entropy: 1, recall: 0.6661, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5948, kappa: 0.1901, kb_relative_information_score: 329602, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7145, predictive_accuracy: 0.6648, prior_entropy: 1, recall: 0.6648, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5947, kappa: 0.1903, kb_relative_information_score: 330086, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7161, predictive_accuracy: 0.665, prior_entropy: 1, recall: 0.665, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5882, kappa: 0.1821, kb_relative_information_score: 314621.3467, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.723, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5775, root_relative_squared_error: 1.1551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.595, kappa: 0.1755, kb_relative_information_score: 306364, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6639, predictive_accuracy: 0.6532, prior_entropy: 1, recall: 0.6532, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5889, root_relative_squared_error: 1.1778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5977, kappa: 0.1846, kb_relative_information_score: 316900, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6791, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5844, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5977, kappa: 0.1846, kb_relative_information_score: 316900, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6791, predictive_accuracy: 0.6585, prior_entropy: 1, recall: 0.6585, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5844, root_relative_squared_error: 1.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5949, kappa: 0.19, kb_relative_information_score: 329244, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7131, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5948, kappa: 0.19, kb_relative_information_score: 329440, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.714, predictive_accuracy: 0.6647, prior_entropy: 1, recall: 0.6647, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.5949, kappa: 0.19, kb_relative_information_score: 329314, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7133, predictive_accuracy: 0.6647, prior_entropy: 1, recall: 0.6647, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.5958, kappa: 0.1878, kb_relative_information_score: 324702, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6993, predictive_accuracy: 0.6624, prior_entropy: 1, recall: 0.6624, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.1622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5963, kappa: 0.1927, kb_relative_information_score: 198085.8774, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5991, kappa: 0.1873, kb_relative_information_score: 319140, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6813, predictive_accuracy: 0.6596, prior_entropy: 1, recall: 0.6596, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.1669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5963, kappa: 0.1927, kb_relative_information_score: 198085.8774, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.5982, kappa: 0.1873, kb_relative_information_score: 320538, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6855, predictive_accuracy: 0.6603, prior_entropy: 1, recall: 0.6603, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.1657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5972, kappa: 0.1938, kb_relative_information_score: 201447.4137, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7147, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.59, kappa: 0.1647, kb_relative_information_score: 296768, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6541, predictive_accuracy: 0.6484, prior_entropy: 1, recall: 0.6484, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.1859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.5972, kappa: 0.1938, kb_relative_information_score: 201447.4137, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7147, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5805, kappa: 0.1615, kb_relative_information_score: 305848, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6853, predictive_accuracy: 0.6529, prior_entropy: 1, ram_hours: 0, recall: 0.6529, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1783, run_cpu_time: 20.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.5959, kappa: 0.1921, kb_relative_information_score: 197318.9719, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7162, predictive_accuracy: 0.6656, prior_entropy: 1, ram_hours: 0.0029, recall: 0.6656, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038, run_cpu_time: 403.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5787, kappa: 0.1602, kb_relative_information_score: 132523.453, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6902, predictive_accuracy: 0.6532, prior_entropy: 1, ram_hours: 0, recall: 0.6532, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9535, run_cpu_time: 23.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.5817, kappa: 0.167, kb_relative_information_score: 177948.9606, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.7003, predictive_accuracy: 0.6563, prior_entropy: 1, ram_hours: 0, recall: 0.6563, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9162, run_cpu_time: 35.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 211896, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.3672, predictive_accuracy: 0.6059, prior_entropy: 1, ram_hours: 0, recall: 0.6059, relative_absolute_error: 0.7881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2555, run_cpu_time: 21.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5854, kappa: 0.1678, kb_relative_information_score: 308526, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6826, predictive_accuracy: 0.6544, prior_entropy: 1, ram_hours: 0, recall: 0.6544, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5878, root_relative_squared_error: 1.1756, run_cpu_time: 26.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5745, kappa: 0.1524, kb_relative_information_score: 153073.8155, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6837, predictive_accuracy: 0.6501, prior_entropy: 1, ram_hours: 0, recall: 0.6501, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9403, run_cpu_time: 22.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6091, kappa: 0.1861, kb_relative_information_score: 132114.8245, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.5, number_of_instances: 1000000, precision: 0.6401, predictive_accuracy: 0.6482, prior_entropy: 1, ram_hours: 0.0028, recall: 0.6482, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9232, run_cpu_time: 415.51,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
predictions The desired output format Predictions (optional)

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