OpenML
Supervised Classification on oh5.wc

Supervised Classification on oh5.wc

Task 3529 Supervised Classification oh5.wc 242 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.808, kappa: 0.7809, kb_relative_information_score: 634.5838, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8173, predictive_accuracy: 0.805, prior_entropy: 3.2382, recall: 0.805, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8279, kappa: 0.8078, kb_relative_information_score: 631.7844, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.833, predictive_accuracy: 0.8301, prior_entropy: 3.2382, recall: 0.8301, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8379, kappa: 0.817, kb_relative_information_score: 754.5305, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8403, predictive_accuracy: 0.8377, prior_entropy: 3.2382, recall: 0.8377, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8099, kappa: 0.7854, kb_relative_information_score: 663.4402, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8174, predictive_accuracy: 0.8105, prior_entropy: 3.2382, recall: 0.8105, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.0316, kappa: 0.0148, kb_relative_information_score: 41.8639, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.066, predictive_accuracy: 0.0806, prior_entropy: 3.2382, recall: 0.0806, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8358, kappa: 0.813, kb_relative_information_score: 699.1153, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.844, predictive_accuracy: 0.8344, prior_entropy: 3.2382, recall: 0.8344, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8361, kappa: 0.8141, kb_relative_information_score: 757.6062, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8427, predictive_accuracy: 0.8355, prior_entropy: 3.2382, recall: 0.8355, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.0694, kappa: -0.0013, kb_relative_information_score: 27.5513, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0504, predictive_accuracy: 0.1569, prior_entropy: 3.2382, recall: 0.1569, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.0694, kappa: -0.0013, kb_relative_information_score: 8.7204, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0504, predictive_accuracy: 0.1569, prior_entropy: 3.2382, recall: 0.1569, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.298, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8094, kappa: 0.7806, kb_relative_information_score: 719.8652, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8216, predictive_accuracy: 0.805, prior_entropy: 3.2382, recall: 0.805, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7478, kappa: 0.7167, kb_relative_information_score: 632.7662, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7538, predictive_accuracy: 0.7495, prior_entropy: 3.2382, recall: 0.7495, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.0694, kappa: -0.0013, kb_relative_information_score: 19.491, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0504, predictive_accuracy: 0.1569, prior_entropy: 3.2382, recall: 0.1569, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2984, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7478, kappa: 0.7167, kb_relative_information_score: 632.7662, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7538, predictive_accuracy: 0.7495, prior_entropy: 3.2382, recall: 0.7495, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8087, kappa: 0.7814, kb_relative_information_score: 721.2521, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8135, predictive_accuracy: 0.8061, prior_entropy: 3.2382, recall: 0.8061, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8827, kappa: 0.8673, kb_relative_information_score: 802.6427, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8849, predictive_accuracy: 0.8824, prior_entropy: 3.2382, recall: 0.8824, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8379, kappa: 0.8157, kb_relative_information_score: 719.4311, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8448, predictive_accuracy: 0.8366, prior_entropy: 3.2382, recall: 0.8366, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8555, kappa: 0.8363, kb_relative_information_score: 730.5956, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8611, predictive_accuracy: 0.8551, prior_entropy: 3.2382, recall: 0.8551, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.878, kappa: 0.8611, kb_relative_information_score: 796.8245, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8829, predictive_accuracy: 0.8769, prior_entropy: 3.2382, recall: 0.8769, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8505, kappa: 0.8317, kb_relative_information_score: 757.7571, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8533, predictive_accuracy: 0.8508, prior_entropy: 3.2382, recall: 0.8508, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8345, kappa: 0.8088, kb_relative_information_score: 758.8639, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8499, predictive_accuracy: 0.8312, prior_entropy: 3.2382, recall: 0.8312, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8773, kappa: 0.8612, kb_relative_information_score: 789.371, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8788, predictive_accuracy: 0.8769, prior_entropy: 3.2382, recall: 0.8769, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8483, kappa: 0.828, kb_relative_information_score: 745.1443, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8522, predictive_accuracy: 0.8475, prior_entropy: 3.2382, recall: 0.8475, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8757, kappa: 0.8597, kb_relative_information_score: 701.4678, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8798, predictive_accuracy: 0.8758, prior_entropy: 3.2382, recall: 0.8758, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8777, kappa: 0.8621, kb_relative_information_score: 685.4687, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8825, predictive_accuracy: 0.878, prior_entropy: 3.2382, recall: 0.878, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8837, kappa: 0.8694, kb_relative_information_score: 655.8009, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8907, predictive_accuracy: 0.8845, prior_entropy: 3.2382, recall: 0.8845, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8828, kappa: 0.868, kb_relative_information_score: 641.3089, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8909, predictive_accuracy: 0.8834, prior_entropy: 3.2382, recall: 0.8834, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8759, kappa: 0.8606, kb_relative_information_score: 600.7116, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8861, predictive_accuracy: 0.8769, prior_entropy: 3.2382, recall: 0.8769, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7599, kappa: 0.737, kb_relative_information_score: 440.7947, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7879, predictive_accuracy: 0.7691, prior_entropy: 3.2382, recall: 0.7691, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8722, kappa: 0.8568, kb_relative_information_score: 584.7017, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8822, predictive_accuracy: 0.8736, prior_entropy: 3.2382, recall: 0.8736, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8471, kappa: 0.8281, kb_relative_information_score: 539.0982, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8678, predictive_accuracy: 0.8486, prior_entropy: 3.2382, recall: 0.8486, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8773, kappa: 0.8612, kb_relative_information_score: 789.371, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8788, predictive_accuracy: 0.8769, prior_entropy: 3.2382, recall: 0.8769, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8666, kappa: 0.8499, kb_relative_information_score: 631.2254, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8695, predictive_accuracy: 0.8671, prior_entropy: 3.2382, recall: 0.8671, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8731, kappa: 0.8563, kb_relative_information_score: 752.372, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8747, predictive_accuracy: 0.8725, prior_entropy: 3.2382, recall: 0.8725, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.14, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.6702, kappa: 0.6419, kb_relative_information_score: 473.1717, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.69, predictive_accuracy: 0.6841, prior_entropy: 3.2382, recall: 0.6841, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8696, kappa: 0.8526, kb_relative_information_score: 747.4969, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8714, predictive_accuracy: 0.8693, prior_entropy: 3.2382, recall: 0.8693, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8513, kappa: 0.8343, kb_relative_information_score: 518.3121, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8713, predictive_accuracy: 0.854, prior_entropy: 3.2382, recall: 0.854, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.7035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8255, kappa: 0.8055, kb_relative_information_score: 470.5632, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8537, predictive_accuracy: 0.829, prior_entropy: 3.2382, recall: 0.829, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7712, kappa: 0.7439, kb_relative_information_score: 571.4081, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7768, predictive_accuracy: 0.7734, prior_entropy: 3.2382, recall: 0.7734, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8189, kappa: 0.8016, kb_relative_information_score: 455.663, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8556, predictive_accuracy: 0.8257, prior_entropy: 3.2382, recall: 0.8257, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.226, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7813, kappa: 0.7581, kb_relative_information_score: 418.0337, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8218, predictive_accuracy: 0.7876, prior_entropy: 3.2382, recall: 0.7876, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.7911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.759, kappa: 0.7403, kb_relative_information_score: 400.9416, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.82, predictive_accuracy: 0.7723, prior_entropy: 3.2382, recall: 0.7723, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.239, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.3683, kappa: 0.2899, kb_relative_information_score: 309.6365, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.3682, predictive_accuracy: 0.3693, prior_entropy: 3.2382, recall: 0.3693, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3464, root_relative_squared_error: 1.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7569, kappa: 0.7338, kb_relative_information_score: 386, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8128, predictive_accuracy: 0.7669, prior_entropy: 3.2382, recall: 0.7669, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.1039, kappa: 0.03, kb_relative_information_score: 66.165, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0826, predictive_accuracy: 0.1819, prior_entropy: 3.2382, recall: 0.1819, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.11, kappa: 0.0169, kb_relative_information_score: 67.1554, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0988, predictive_accuracy: 0.1634, prior_entropy: 3.2382, recall: 0.1634, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6081, f_measure: 0.1319, kappa: 0.0544, kb_relative_information_score: 97.4203, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1086, predictive_accuracy: 0.183, prior_entropy: 3.2382, recall: 0.183, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.2834, kappa: 0.2512, kb_relative_information_score: 237.4327, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.2852, predictive_accuracy: 0.3366, prior_entropy: 3.2382, recall: 0.3366, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.5333, kappa: 0.4833, kb_relative_information_score: 447.7987, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8172, predictive_accuracy: 0.5523, prior_entropy: 3.2382, recall: 0.5523, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.1667, kappa: 0.1223, kb_relative_information_score: 149.6773, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.201, predictive_accuracy: 0.2625, prior_entropy: 3.2382, recall: 0.2625, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.5728, kappa: 0.516, kb_relative_information_score: 446.4607, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.6176, predictive_accuracy: 0.5675, prior_entropy: 3.2382, recall: 0.5675, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.1249, kappa: 0.1172, kb_relative_information_score: 174.2862, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0824, predictive_accuracy: 0.2582, prior_entropy: 3.2382, recall: 0.2582, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7504, kappa: 0.6967, kb_relative_information_score: 604.7318, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8091, predictive_accuracy: 0.7288, prior_entropy: 3.2382, recall: 0.7288, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7628, kappa: 0.7215, kb_relative_information_score: 642.5029, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7907, predictive_accuracy: 0.7527, prior_entropy: 3.2382, recall: 0.7527, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8917, kappa: 0.877, kb_relative_information_score: 791.3506, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8952, predictive_accuracy: 0.8911, prior_entropy: 3.2382, recall: 0.8911, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.7837, kappa: 0.7452, kb_relative_information_score: 674.4178, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8039, predictive_accuracy: 0.7734, prior_entropy: 3.2382, recall: 0.7734, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7879, kappa: 0.7587, kb_relative_information_score: 694.5528, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7961, predictive_accuracy: 0.7854, prior_entropy: 3.2382, recall: 0.7854, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.7996, kappa: 0.7744, kb_relative_information_score: 711.1598, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8021, predictive_accuracy: 0.7996, prior_entropy: 3.2382, recall: 0.7996, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.3973, kappa: 0.3609, kb_relative_information_score: 180.918, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.5872, predictive_accuracy: 0.4477, prior_entropy: 3.2382, recall: 0.4477, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.6966, kappa: 0.653, kb_relative_information_score: 199.4435, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7886, predictive_accuracy: 0.6972, prior_entropy: 3.2382, recall: 0.6972, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8331, kappa: 0.8069, kb_relative_information_score: 720.4391, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8478, predictive_accuracy: 0.829, prior_entropy: 3.2382, recall: 0.829, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.1136, kappa: 0.0645, kb_relative_information_score: 134.3112, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.5285, predictive_accuracy: 0.159, prior_entropy: 3.2382, recall: 0.159, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3432, root_relative_squared_error: 1.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.3312, kappa: 0.2457, kb_relative_information_score: 262.8575, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.3342, predictive_accuracy: 0.3301, prior_entropy: 3.2382, recall: 0.3301, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.366, root_relative_squared_error: 1.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.1507, kappa: 0.1242, kb_relative_information_score: 167.1652, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1212, predictive_accuracy: 0.2625, prior_entropy: 3.2382, recall: 0.2625, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3841, root_relative_squared_error: 1.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7599, kappa: 0.7282, kb_relative_information_score: 689.1582, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7725, predictive_accuracy: 0.7582, prior_entropy: 3.2382, recall: 0.7582, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.7256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8408, kappa: 0.8169, kb_relative_information_score: 731.1933, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.852, predictive_accuracy: 0.8377, prior_entropy: 3.2382, recall: 0.8377, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8196, kappa: 0.7935, kb_relative_information_score: 717.7686, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8285, predictive_accuracy: 0.817, prior_entropy: 3.2382, recall: 0.817, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.1689, kappa: 0.0986, kb_relative_information_score: 141.956, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.5607, predictive_accuracy: 0.2092, prior_entropy: 3.2382, recall: 0.2092, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8324, kappa: 0.8039, kb_relative_information_score: 723.2371, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8519, predictive_accuracy: 0.8257, prior_entropy: 3.2382, recall: 0.8257, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7241, kappa: 0.6974, kb_relative_information_score: 360.3712, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8016, predictive_accuracy: 0.7353, prior_entropy: 3.2382, recall: 0.7353, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8167, kappa: 0.7965, kb_relative_information_score: 427.3932, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8583, predictive_accuracy: 0.8214, prior_entropy: 3.2382, recall: 0.8214, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.7804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.1473, kappa: 0.087, kb_relative_information_score: 147.0975, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.725, predictive_accuracy: 0.2015, prior_entropy: 3.2382, recall: 0.2015, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.391, root_relative_squared_error: 1.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8263, kappa: 0.8028, kb_relative_information_score: 748.442, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8312, predictive_accuracy: 0.8246, prior_entropy: 3.2382, recall: 0.8246, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.4177, kappa: 0.4052, kb_relative_information_score: 150.8965, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.6452, predictive_accuracy: 0.4946, prior_entropy: 3.2382, recall: 0.4946, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.796, kappa: 0.7723, kb_relative_information_score: 724.1777, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8017, predictive_accuracy: 0.7985, prior_entropy: 3.2382, recall: 0.7985, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.171, root_relative_squared_error: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.5937, kappa: 0.5533, kb_relative_information_score: 416.4965, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.6252, predictive_accuracy: 0.6068, prior_entropy: 3.2382, recall: 0.6068, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8102, kappa: 0.7846, kb_relative_information_score: 716.8776, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8162, predictive_accuracy: 0.8094, prior_entropy: 3.2382, recall: 0.8094, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7242, kappa: 0.6668, kb_relative_information_score: 633.3634, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8121, predictive_accuracy: 0.7092, prior_entropy: 3.2382, recall: 0.7092, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.5322, kappa: 0.5144, kb_relative_information_score: 534.9879, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7114, predictive_accuracy: 0.5566, prior_entropy: 3.2382, recall: 0.5566, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.3006, kappa: 0.2738, kb_relative_information_score: 149.5089, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.3365, predictive_accuracy: 0.3802, prior_entropy: 3.2382, recall: 0.3802, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.6655, kappa: 0.636, kb_relative_information_score: 40.7833, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7713, predictive_accuracy: 0.6841, prior_entropy: 3.2382, recall: 0.6841, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8194, kappa: 0.7861, kb_relative_information_score: 703.2232, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8465, predictive_accuracy: 0.8115, prior_entropy: 3.2382, recall: 0.8115, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8473, kappa: 0.8201, kb_relative_information_score: 738.2201, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8687, predictive_accuracy: 0.841, prior_entropy: 3.2382, recall: 0.841, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.7933, kappa: 0.7212, kb_relative_information_score: 628.6331, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8931, predictive_accuracy: 0.7495, prior_entropy: 3.2382, recall: 0.7495, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8446, kappa: 0.8229, kb_relative_information_score: 743.488, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.854, predictive_accuracy: 0.8431, prior_entropy: 3.2382, recall: 0.8431, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.1516, kappa: 0.0996, kb_relative_information_score: 101.0049, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.173, predictive_accuracy: 0.2429, prior_entropy: 3.2382, recall: 0.2429, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7852, kappa: 0.7448, kb_relative_information_score: 546.0739, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8252, predictive_accuracy: 0.7734, prior_entropy: 3.2382, recall: 0.7734, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8471, kappa: 0.8234, kb_relative_information_score: 751.7144, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8649, predictive_accuracy: 0.8442, prior_entropy: 3.2382, recall: 0.8442, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.012, kb_relative_information_score: 36.6099, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0065, predictive_accuracy: 0.0806, prior_entropy: 3.2382, recall: 0.0806, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7569, kappa: 0.7207, kb_relative_information_score: 673.078, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7688, predictive_accuracy: 0.7527, prior_entropy: 3.2382, recall: 0.7527, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.6887, kappa: 0.66, kb_relative_information_score: 40.8161, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7653, predictive_accuracy: 0.7037, prior_entropy: 3.2382, recall: 0.7037, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.5333, kappa: 0.4833, kb_relative_information_score: 447.7987, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8172, predictive_accuracy: 0.5523, prior_entropy: 3.2382, recall: 0.5523, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.7746, kappa: 0.7467, kb_relative_information_score: 697.884, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.7787, predictive_accuracy: 0.7756, prior_entropy: 3.2382, recall: 0.7756, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.2529, kappa: 0.237, kb_relative_information_score: 108.639, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.5527, predictive_accuracy: 0.3573, prior_entropy: 3.2382, recall: 0.3573, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.847, kappa: 0.8235, kb_relative_information_score: 776.9079, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8596, predictive_accuracy: 0.8431, prior_entropy: 3.2382, recall: 0.8431, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.0453, kb_relative_information_score: 0.604, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.2382, recall: 0.1623, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2979, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8065, kappa: 0.7777, kb_relative_information_score: 716.6331, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.8138, predictive_accuracy: 0.8028, prior_entropy: 3.2382, recall: 0.8028, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.1395, kappa: 0.1085, kb_relative_information_score: 103.8748, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.1954, predictive_accuracy: 0.2516, prior_entropy: 3.2382, recall: 0.2516, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.9559,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs