Task
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 18533 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
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18533 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9294, kappa: 0.8428, kb_relative_information_score: 572.1775, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9297, predictive_accuracy: 0.9299, prior_entropy: 0.9297, recall: 0.9299, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -0.4406, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9182, kappa: 0.8186, kb_relative_information_score: 559.0184, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9181, predictive_accuracy: 0.9185, prior_entropy: 0.9297, recall: 0.9185, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9701, kappa: 0.9341, kb_relative_information_score: 621.6954, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9706, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9599, kappa: 0.9112, kb_relative_information_score: 590.406, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9584, kappa: 0.9077, kb_relative_information_score: 534.1185, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9599, kappa: 0.911, kb_relative_information_score: 582.5621, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 33.5921, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -358.1333, mean_absolute_error: 0.6552, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.3448, prior_entropy: 0.9297, recall: 0.3448, relative_absolute_error: 1.4498, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.8095, root_relative_squared_error: 1.7031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -2.63, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 590.3853, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.9844, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -89.398, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 4.3141, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.957, kappa: 0.9044, kb_relative_information_score: 585.9999, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9046, kappa: 0.7955, kb_relative_information_score: 305.5488, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9174, predictive_accuracy: 0.9027, prior_entropy: 0.9297, recall: 0.9027, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -9.0926, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9364, kappa: 0.8612, kb_relative_information_score: 477.5695, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.94, predictive_accuracy: 0.9356, prior_entropy: 0.9297, recall: 0.9356, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 20.5255, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9616, kappa: 0.9156, kb_relative_information_score: 586.0379, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9625, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9672, kappa: 0.9277, kb_relative_information_score: 584.1296, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9675, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -20.5661, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0123, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8864, kappa: 0.7506, kb_relative_information_score: 181.112, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8882, predictive_accuracy: 0.8856, prior_entropy: 0.9297, recall: 0.8856, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, kb_relative_information_score: 10.5998, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 620.1971, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -140.086, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.3448, prior_entropy: 0.9297, recall: 0.3448, relative_absolute_error: 1.1223, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: 16.108, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 624.3476, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -26.0577, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9544, kappa: 0.8995, kb_relative_information_score: 526.9289, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9548, predictive_accuracy: 0.9542, prior_entropy: 0.9297, recall: 0.9542, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 7.4986, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -23.2044, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0169, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9616, kappa: 0.9156, kb_relative_information_score: 434.9016, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9625, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9223, kappa: 0.8273, kb_relative_information_score: 553.9175, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9224, predictive_accuracy: 0.9227, prior_entropy: 0.9297, recall: 0.9227, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 589.1921, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8148, kappa: 0.5798, kb_relative_information_score: 257.2827, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8519, predictive_accuracy: 0.8298, prior_entropy: 0.9297, recall: 0.8298, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 1.4755, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9345, kappa: 0.8558, kb_relative_information_score: 560.5348, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9352, predictive_accuracy: 0.9342, prior_entropy: 0.9297, recall: 0.9342, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9514, kappa: 0.8926, kb_relative_information_score: 525.0759, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9515, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -7.5922, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9658, kappa: 0.9245, kb_relative_information_score: 565.9114, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 52.4152, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.5351, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0241, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9469, kappa: 0.8823, kb_relative_information_score: 523.5842, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.9297, recall: 0.9471, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -272.0334, mean_absolute_error: 0.5856, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.3448, prior_entropy: 0.9297, recall: 0.3448, relative_absolute_error: 1.2957, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.6428, root_relative_squared_error: 1.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 17.9974, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.91, kappa: 0.8061, kb_relative_information_score: 434.7872, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9196, predictive_accuracy: 0.9084, prior_entropy: 0.9297, recall: 0.9084, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -17.8326, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: 5.6304, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: -8.9453, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kb_relative_information_score: 40.9282, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, kb_relative_information_score: 5.7203, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9644, kappa: 0.9218, kb_relative_information_score: 599.5862, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9654, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: 1.0648, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 18.1412, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 8.0298, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 453.7331, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 9.4836, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.4986, kappa: 0.0888, kb_relative_information_score: -108.9255, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.6079, predictive_accuracy: 0.4993, prior_entropy: 0.9297, recall: 0.4993, relative_absolute_error: 1.1079, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.7076, root_relative_squared_error: 1.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, kb_relative_information_score: 11.3578, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: 14.157, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8867, kappa: 0.7437, kb_relative_information_score: 250.1262, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8996, predictive_accuracy: 0.8913, prior_entropy: 0.9297, recall: 0.8913, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.957, kappa: 0.9046, kb_relative_information_score: 604.2443, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4446, f_measure: 0.4967, kappa: -0.1101, kb_relative_information_score: -115.8479, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.4984, predictive_accuracy: 0.495, prior_entropy: 0.9297, recall: 0.495, relative_absolute_error: 1.1174, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9572, kappa: 0.9054, kb_relative_information_score: 613.1274, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7172, kappa: 0.3657, kb_relative_information_score: 193.0039, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7949, predictive_accuracy: 0.7568, prior_entropy: 0.9297, recall: 0.7568, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 630.6587, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kb_relative_information_score: -3.3818, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7152, kappa: 0.4066, kb_relative_information_score: 227.9666, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7454, predictive_accuracy: 0.7082, prior_entropy: 0.9297, recall: 0.7082, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9393, kappa: 0.8646, kb_relative_information_score: 580.3351, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9402, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.6753, kappa: 0.2815, kb_relative_information_score: 140.3085, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7895, predictive_accuracy: 0.7325, prior_entropy: 0.9297, recall: 0.7325, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9409, kappa: 0.8682, kb_relative_information_score: 506.9534, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9297, recall: 0.9413, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, kb_relative_information_score: -0.2701, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 595.1147, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 565.1271, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9613, kappa: 0.9143, kb_relative_information_score: 599.344, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -75.1306, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 584.213, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9512, kappa: 0.8917, kb_relative_information_score: 585.0458, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9512, predictive_accuracy: 0.9514, prior_entropy: 0.9297, recall: 0.9514, relative_absolute_error: 0.1784, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.7482, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.3001, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -88.6679, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0715, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4867, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9572, kappa: 0.9056, kb_relative_information_score: 609.6952, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9575, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 548.709, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -5.8621, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -41.1701, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -3.1546, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -2.3928, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.2882, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, kb_relative_information_score: 87.7271, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9259, kappa: 0.8341, kb_relative_information_score: 307.8751, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.928, predictive_accuracy: 0.927, prior_entropy: 0.9297, recall: 0.927, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, kb_relative_information_score: -30.5075, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0225, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8838, kappa: 0.7383, kb_relative_information_score: 248.2098, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8893, predictive_accuracy: 0.887, prior_entropy: 0.9297, recall: 0.887, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, kb_relative_information_score: -5.7935, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -94.9177, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 1.0772, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5252, kappa: 0.1727, kb_relative_information_score: -52.6842, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.6802, predictive_accuracy: 0.5336, prior_entropy: 0.9297, recall: 0.5336, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.6806, root_relative_squared_error: 1.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 584.8372, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9657, kappa: 0.9242, kb_relative_information_score: 571.5364, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.2133, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kb_relative_information_score: 118.2632, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4519, number_of_instances: 699, predictive_accuracy: 0.6552, prior_entropy: 0.9297, recall: 0.6552, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1562,

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