OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16599 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16599 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.7658, kappa: 0.1659, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7792, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.7613, kappa: 0.1481, kb_relative_information_score: 0.2962, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7783, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.7629, kappa: 0.1541, kb_relative_information_score: 0.2983, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7795, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7697, kappa: 0.1818, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.766, kappa: 0.1665, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7804, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.7677, kappa: 0.175, kb_relative_information_score: 0.2907, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7745, predictive_accuracy: 0.8124, prior_entropy: 0.7087, recall: 0.8124, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.7667, kappa: 0.1692, kb_relative_information_score: 0.3, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.8149, prior_entropy: 0.7087, recall: 0.8149, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7788, kappa: 0.219, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.5682, kappa: 0.0464, kb_relative_information_score: -0.8202, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7116, predictive_accuracy: 0.5186, prior_entropy: 0.7087, recall: 0.5186, relative_absolute_error: 1.5423, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6938, root_relative_squared_error: 1.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.7798, kappa: 0.2213, kb_relative_information_score: 0.3129, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8183, prior_entropy: 0.7087, recall: 0.8183, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.5747, kappa: 0.0377, kb_relative_information_score: -0.7956, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7063, predictive_accuracy: 0.5251, prior_entropy: 0.7087, recall: 0.5251, relative_absolute_error: 1.5214, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6891, root_relative_squared_error: 1.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.7649, kappa: 0.1631, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7747, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.7671, kappa: 0.1725, kb_relative_information_score: 0.2914, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.6651, kappa: 0.0815, kb_relative_information_score: -0.385, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.717, predictive_accuracy: 0.6337, prior_entropy: 0.7087, recall: 0.6337, relative_absolute_error: 1.1735, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.7618, kappa: 0.1504, kb_relative_information_score: 0.2948, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4319, root_relative_squared_error: 1.0932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.7634, kappa: 0.1572, kb_relative_information_score: 0.2924, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.0951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.7803, kappa: 0.2234, kb_relative_information_score: 0.3115, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7863, predictive_accuracy: 0.8179, prior_entropy: 0.7087, recall: 0.8179, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7645, kappa: 0.1611, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.7655, kappa: 0.1651, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.7664, kappa: 0.168, kb_relative_information_score: 0.2994, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7796, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.777, kappa: 0.2115, kb_relative_information_score: 0.3021, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8154, prior_entropy: 0.7087, recall: 0.8154, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.7785, kappa: 0.2172, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.6167, kappa: 0.0604, kb_relative_information_score: -0.6167, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7135, predictive_accuracy: 0.5724, prior_entropy: 0.7087, recall: 0.5724, relative_absolute_error: 1.3699, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6539, root_relative_squared_error: 1.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.4775, kappa: 0.0226, kb_relative_information_score: -1.1454, mean_absolute_error: 0.5674, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7043, predictive_accuracy: 0.4326, prior_entropy: 0.7087, recall: 0.4326, relative_absolute_error: 1.8178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7533, root_relative_squared_error: 1.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.7774, kappa: 0.2118, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8171, prior_entropy: 0.7087, recall: 0.8171, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.2839, kappa: 0.0059, kb_relative_information_score: -1.6557, mean_absolute_error: 0.7023, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6987, predictive_accuracy: 0.2977, prior_entropy: 0.7087, recall: 0.2977, relative_absolute_error: 2.2502, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.8381, root_relative_squared_error: 2.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.5033, kappa: 0.0217, kb_relative_information_score: -1.062, mean_absolute_error: 0.5453, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7019, predictive_accuracy: 0.4547, prior_entropy: 0.7087, recall: 0.4547, relative_absolute_error: 1.7472, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7385, root_relative_squared_error: 1.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.7793, kappa: 0.2213, kb_relative_information_score: 0.3028, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8156, prior_entropy: 0.7087, recall: 0.8156, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4294, root_relative_squared_error: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.7594, kappa: 0.1409, kb_relative_information_score: 0.2945, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.432, root_relative_squared_error: 1.0935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.7787, kappa: 0.2168, kb_relative_information_score: 0.3105, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7857, predictive_accuracy: 0.8176, prior_entropy: 0.7087, recall: 0.8176, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.427, root_relative_squared_error: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.7799, kappa: 0.2224, kb_relative_information_score: 0.3091, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7852, predictive_accuracy: 0.8173, prior_entropy: 0.7087, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6873, kappa: 0.1042, kb_relative_information_score: -0.2735, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7231, predictive_accuracy: 0.6632, prior_entropy: 0.7087, recall: 0.6632, relative_absolute_error: 1.079, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.7769, kappa: 0.2105, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7829, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5723, kappa: 0.0619, kb_relative_information_score: -0.8022, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7199, predictive_accuracy: 0.5234, prior_entropy: 0.7087, recall: 0.5234, relative_absolute_error: 1.527, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6904, root_relative_squared_error: 1.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.7121, kappa: 0.1258, kb_relative_information_score: -0.1373, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7281, predictive_accuracy: 0.6992, prior_entropy: 0.7087, recall: 0.6992, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.7677, kappa: 0.1732, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7802, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.7626, kappa: 0.1542, kb_relative_information_score: 0.2903, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7738, predictive_accuracy: 0.8123, prior_entropy: 0.7087, recall: 0.8123, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5377, kappa: 0.0383, kb_relative_information_score: -0.9366, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7099, predictive_accuracy: 0.4878, prior_entropy: 0.7087, recall: 0.4878, relative_absolute_error: 1.6409, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7157, root_relative_squared_error: 1.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.4907, kappa: 0.0267, kb_relative_information_score: -1.1013, mean_absolute_error: 0.5557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7063, predictive_accuracy: 0.4443, prior_entropy: 0.7087, recall: 0.4443, relative_absolute_error: 1.7805, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7455, root_relative_squared_error: 1.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7659, kappa: 0.1661, kb_relative_information_score: 0.299, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7795, predictive_accuracy: 0.8146, prior_entropy: 0.7087, recall: 0.8146, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5621, kappa: 0.0411, kb_relative_information_score: -0.8449, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7092, predictive_accuracy: 0.5121, prior_entropy: 0.7087, recall: 0.5121, relative_absolute_error: 1.5632, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.6995, kappa: 0.1209, kb_relative_information_score: -0.212, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7279, predictive_accuracy: 0.6795, prior_entropy: 0.7087, recall: 0.6795, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.7601, kappa: 0.1442, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.7053, kappa: 0.1099, kb_relative_information_score: -0.1679, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7232, predictive_accuracy: 0.6911, prior_entropy: 0.7087, recall: 0.6911, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.7815, kappa: 0.2303, kb_relative_information_score: 0.3063, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8165, prior_entropy: 0.7087, recall: 0.8165, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5833, kappa: -0.0007, kb_relative_information_score: -0.7594, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6876, predictive_accuracy: 0.5347, prior_entropy: 0.7087, recall: 0.5347, relative_absolute_error: 1.4908, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.7834, kappa: 0.2378, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.776, kappa: 0.207, kb_relative_information_score: 0.3042, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.816, prior_entropy: 0.7087, recall: 0.816, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.429, root_relative_squared_error: 1.0859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7786, kappa: 0.2176, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.779, kappa: 0.2201, kb_relative_information_score: 0.3039, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.7638, kappa: 0.1587, kb_relative_information_score: 0.2921, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.7651, kappa: 0.1637, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.4382, kappa: 0.014, kb_relative_information_score: -1.2687, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6997, predictive_accuracy: 0.4, prior_entropy: 0.7087, recall: 0.4, relative_absolute_error: 1.9223, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.768, kappa: 0.174, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8155, prior_entropy: 0.7087, recall: 0.8155, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5596, kappa: 0.046, kb_relative_information_score: -0.8536, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7122, predictive_accuracy: 0.5098, prior_entropy: 0.7087, recall: 0.5098, relative_absolute_error: 1.5706, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.7625, kappa: 0.1544, kb_relative_information_score: 0.2875, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.772, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7782, kappa: 0.2157, kb_relative_information_score: 0.3073, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7842, predictive_accuracy: 0.8168, prior_entropy: 0.7087, recall: 0.8168, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.6298, kappa: 0.064, kb_relative_information_score: -0.5569, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7137, predictive_accuracy: 0.5882, prior_entropy: 0.7087, recall: 0.5882, relative_absolute_error: 1.3192, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.7654, kappa: 0.1639, kb_relative_information_score: 0.3018, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8153, prior_entropy: 0.7087, recall: 0.8153, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4297, root_relative_squared_error: 1.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5714, f_measure: 0.7101, kappa: 0.1276, kb_relative_information_score: -0.1515, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.729, predictive_accuracy: 0.6955, prior_entropy: 0.7087, recall: 0.6955, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7799, kappa: 0.2236, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.779, kappa: 0.2172, kb_relative_information_score: 0.3143, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.7686, kappa: 0.1762, kb_relative_information_score: 0.3035, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7822, predictive_accuracy: 0.8158, prior_entropy: 0.7087, recall: 0.8158, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6614, kappa: 0.0829, kb_relative_information_score: -0.4051, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.718, predictive_accuracy: 0.6284, prior_entropy: 0.7087, recall: 0.6284, relative_absolute_error: 1.1906, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.7659, kappa: 0.1675, kb_relative_information_score: 0.2914, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7746, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7609, kappa: 0.1469, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.7651, kappa: 0.1636, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.6186, kappa: 0.0531, kb_relative_information_score: -0.6069, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7099, predictive_accuracy: 0.575, prior_entropy: 0.7087, recall: 0.575, relative_absolute_error: 1.3616, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.4901, kappa: 0.0282, kb_relative_information_score: -1.1026, mean_absolute_error: 0.5561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7075, predictive_accuracy: 0.4439, prior_entropy: 0.7087, recall: 0.4439, relative_absolute_error: 1.7816, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.4447, kappa: 0.0193, kb_relative_information_score: -1.2465, mean_absolute_error: 0.5941, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.704, predictive_accuracy: 0.4059, prior_entropy: 0.7087, recall: 0.4059, relative_absolute_error: 1.9035, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7708, root_relative_squared_error: 1.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7789, kappa: 0.2181, kb_relative_information_score: 0.3087, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8172, prior_entropy: 0.7087, recall: 0.8172, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4276, root_relative_squared_error: 1.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.5444, kappa: 0.0374, kb_relative_information_score: -0.9123, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7087, predictive_accuracy: 0.4943, prior_entropy: 0.7087, recall: 0.4943, relative_absolute_error: 1.6203, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.7383, kappa: 0.1189, kb_relative_information_score: 0.0708, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7265, predictive_accuracy: 0.7542, prior_entropy: 0.7087, recall: 0.7542, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.6286, kappa: 0.0814, kb_relative_information_score: -0.5653, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7218, predictive_accuracy: 0.586, prior_entropy: 0.7087, recall: 0.586, relative_absolute_error: 1.3263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.764, kappa: 0.1589, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.4306, kappa: 0.0145, kb_relative_information_score: -1.2902, mean_absolute_error: 0.6057, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7006, predictive_accuracy: 0.3943, prior_entropy: 0.7087, recall: 0.3943, relative_absolute_error: 1.9406, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7783, root_relative_squared_error: 1.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5587, kappa: 0.0393, kb_relative_information_score: -0.8581, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7085, predictive_accuracy: 0.5086, prior_entropy: 0.7087, recall: 0.5086, relative_absolute_error: 1.5744, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.701, root_relative_squared_error: 1.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.778, kappa: 0.2153, kb_relative_information_score: 0.3053, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7832, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.7634, kappa: 0.1569, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.6628, kappa: 0.0553, kb_relative_information_score: -0.385, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7071, predictive_accuracy: 0.6337, prior_entropy: 0.7087, recall: 0.6337, relative_absolute_error: 1.1735, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6052, root_relative_squared_error: 1.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.7628, kappa: 0.1554, kb_relative_information_score: 0.2879, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7722, predictive_accuracy: 0.8117, prior_entropy: 0.7087, recall: 0.8117, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.7659, kappa: 0.166, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.7756, kappa: 0.2066, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.7816, kappa: 0.2289, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8182, prior_entropy: 0.7087, recall: 0.8182, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.7663, kappa: 0.168, kb_relative_information_score: 0.2966, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7778, predictive_accuracy: 0.814, prior_entropy: 0.7087, recall: 0.814, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.7656, kappa: 0.1651, kb_relative_information_score: 0.2973, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7783, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.7633, kappa: 0.1565, kb_relative_information_score: 0.2928, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7754, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.0948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.7756, kappa: 0.2055, kb_relative_information_score: 0.3035, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8158, prior_entropy: 0.7087, recall: 0.8158, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7657, kappa: 0.1657, kb_relative_information_score: 0.2969, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5776, f_measure: 0.776, kappa: 0.2077, kb_relative_information_score: 0.3014, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7811, predictive_accuracy: 0.8153, prior_entropy: 0.7087, recall: 0.8153, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.7761, kappa: 0.2071, kb_relative_information_score: 0.3056, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7831, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.7224, kappa: 0.1333, kb_relative_information_score: -0.0748, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7298, predictive_accuracy: 0.7158, prior_entropy: 0.7087, recall: 0.7158, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.7647, kappa: 0.1616, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.775, kappa: 0.2024, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.766, kappa: 0.1665, kb_relative_information_score: 0.2983, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.779, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.78, kappa: 0.2217, kb_relative_information_score: 0.3136, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5463, kappa: 0.031, kb_relative_information_score: -0.9067, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7048, predictive_accuracy: 0.4957, prior_entropy: 0.7087, recall: 0.4957, relative_absolute_error: 1.6156, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7101, root_relative_squared_error: 1.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.7814, kappa: 0.2284, kb_relative_information_score: 0.3112, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7863, predictive_accuracy: 0.8178, prior_entropy: 0.7087, recall: 0.8178, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.6144, kappa: 0.0446, kb_relative_information_score: -0.625, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7065, predictive_accuracy: 0.5702, prior_entropy: 0.7087, recall: 0.5702, relative_absolute_error: 1.3769, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6556, root_relative_squared_error: 1.6596,

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

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

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

OpenML APIs