Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24107 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24107 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8571, kappa: 0.8411, kb_relative_information_score: 1684.887, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.858, predictive_accuracy: 0.857, prior_entropy: 3.3219, recall: 0.857, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, kb_relative_information_score: 6.1677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8041, kappa: 0.7839, kb_relative_information_score: 1577.3331, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8038, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8069, kappa: 0.7856, kb_relative_information_score: 1522.5287, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8081, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.8212, kappa: 0.8022, kb_relative_information_score: 1458.4157, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kappa: 0.0017, kb_relative_information_score: 4.2783, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.6472, kappa: 0.6172, kb_relative_information_score: 3.3085, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6611, predictive_accuracy: 0.6555, prior_entropy: 3.3219, recall: 0.6555, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.852, kappa: 0.8361, kb_relative_information_score: 1688.3401, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.852, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, kb_relative_information_score: 4.3947, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8283, kappa: 0.8089, kb_relative_information_score: 37.1827, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8416, kappa: 0.8233, kb_relative_information_score: 1619.1767, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8427, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8108, kappa: 0.7889, kb_relative_information_score: 1589.7057, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.81, prior_entropy: 3.3219, recall: 0.81, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1768, f_measure: 0.0771, kappa: 0.0017, kb_relative_information_score: 1.0356, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0647, predictive_accuracy: 0.1015, prior_entropy: 3.3219, recall: 0.1015, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, kappa: 0.1739, kb_relative_information_score: 313.9589, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.2565, prior_entropy: 3.3219, recall: 0.2565, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8247, kappa: 0.8056, kb_relative_information_score: 1633.9849, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8251, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8279, kappa: 0.8083, kb_relative_information_score: 1602.0932, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.3393, kappa: 0.3089, kb_relative_information_score: 386.752, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4125, predictive_accuracy: 0.378, prior_entropy: 3.3219, recall: 0.378, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8392, kappa: 0.8217, kb_relative_information_score: 1616.3607, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8394, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8326, kappa: 0.8133, kb_relative_information_score: 45.6359, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8087, kappa: 0.7872, kb_relative_information_score: 1559.4067, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8106, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.84, kappa: 0.8217, kb_relative_information_score: 45.6237, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8424, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8142, kappa: 0.795, kb_relative_information_score: 1473.766, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.7748, kappa: 0.7611, kb_relative_information_score: 1621.276, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0506, kb_relative_information_score: 5.6966, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8265, kappa: 0.8078, kb_relative_information_score: 1569.6313, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.827, predictive_accuracy: 0.827, prior_entropy: 3.3219, recall: 0.827, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8577, kappa: 0.8417, kb_relative_information_score: 1668.7862, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8581, predictive_accuracy: 0.8575, prior_entropy: 3.3219, recall: 0.8575, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.5819, kappa: 0.5944, kb_relative_information_score: 674.9807, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6965, predictive_accuracy: 0.635, prior_entropy: 3.3219, recall: 0.635, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, kb_relative_information_score: 4.231, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8235, kappa: 0.8044, kb_relative_information_score: 1491.8299, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.5588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8364, kappa: 0.8172, kb_relative_information_score: 33.1972, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8385, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7701, kappa: 0.7372, kb_relative_information_score: 1449.4377, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7862, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8354, kappa: 0.8167, kb_relative_information_score: 1624.7752, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8359, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.4467, kappa: 0.4128, kb_relative_information_score: 594.2807, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4844, predictive_accuracy: 0.4715, prior_entropy: 3.3219, recall: 0.4715, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.7814, kappa: 0.7694, kb_relative_information_score: 1588.4948, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7909, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.7802, kappa: 0.7594, kb_relative_information_score: 1586.3311, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7787, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8164, kappa: 0.7956, kb_relative_information_score: 1571.4179, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8188, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.5369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.7401, kappa: 0.7161, kb_relative_information_score: 1291.8058, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.747, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8244, kappa: 0.8056, kb_relative_information_score: 1615.7479, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8209, kappa: 0.8017, kb_relative_information_score: 1614.6721, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8212, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8019, kappa: 0.78, kb_relative_information_score: 1496.7736, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8037, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0501, kappa: -0.11, kb_relative_information_score: 5.9631, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.001, prior_entropy: 3.3219, recall: 0.001, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8163, kappa: 0.7967, kb_relative_information_score: 1525.2915, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8167, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8295, kappa: 0.8083, kb_relative_information_score: 23.5256, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7085, kappa: 0.6733, kb_relative_information_score: 1367.1667, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.72, predictive_accuracy: 0.706, prior_entropy: 3.3219, recall: 0.706, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, kappa: -0.0017, kb_relative_information_score: 0.3672, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.0985, prior_entropy: 3.3219, recall: 0.0985, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.831, kappa: 0.8128, kb_relative_information_score: 1543.3697, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8315, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8416, kappa: 0.8239, kb_relative_information_score: 54.8348, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8429, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.8381, kappa: 0.8194, kb_relative_information_score: 29.1971, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8419, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.5908, kappa: 0.5606, kb_relative_information_score: 1009.0708, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8562, kappa: 0.84, kb_relative_information_score: 1726.2838, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 3.3219, recall: 0.856, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7978, kappa: 0.775, kb_relative_information_score: 1515.2555, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, kappa: 0.39, kb_relative_information_score: 30.4821, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.451, prior_entropy: 3.3219, recall: 0.451, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.2559, kappa: 0.2178, kb_relative_information_score: 402.0652, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.278, predictive_accuracy: 0.296, prior_entropy: 3.3219, recall: 0.296, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.8127, kappa: 0.7933, kb_relative_information_score: 1616.7558, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.813, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8337, kappa: 0.815, kb_relative_information_score: 1603.9611, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8345, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8234, kappa: 0.8011, kb_relative_information_score: 1683.4447, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8279, predictive_accuracy: 0.821, prior_entropy: 3.3219, recall: 0.821, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8107, kappa: 0.785, kb_relative_information_score: 1633.5943, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8197, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7953, kappa: 0.7733, kb_relative_information_score: 1464.1498, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7968, predictive_accuracy: 0.796, prior_entropy: 3.3219, recall: 0.796, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 19.6492, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8182, kappa: 0.7983, kb_relative_information_score: 1582.9089, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8353, kappa: 0.8172, kb_relative_information_score: 1566.9709, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.836, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.7854, kappa: 0.7639, kb_relative_information_score: 1549.1337, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8318, kappa: 0.8139, kb_relative_information_score: 1667.2435, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.832, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8346, kappa: 0.8161, kb_relative_information_score: 56.7824, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8356, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.805, kappa: 0.7778, kb_relative_information_score: 1560.2947, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8174, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8029, kappa: 0.7744, kb_relative_information_score: 1610.4881, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8305, kappa: 0.8128, kb_relative_information_score: 1551.8589, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8306, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8295, kappa: 0.8117, kb_relative_information_score: 1514.2038, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, kappa: 0.3139, kb_relative_information_score: 22.5615, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.3825, prior_entropy: 3.3219, recall: 0.3825, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8148, kappa: 0.7894, kb_relative_information_score: 1631.7611, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.828, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8405, kappa: 0.8228, kb_relative_information_score: 1611.9293, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8439, kappa: 0.8261, kb_relative_information_score: 1668.2393, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8446, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8523, kappa: 0.8361, kb_relative_information_score: 1687.522, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8526, predictive_accuracy: 0.8525, prior_entropy: 3.3219, recall: 0.8525, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.868, kappa: 0.8533, kb_relative_information_score: 1686.0941, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8683, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.6975, kappa: 0.6644, kb_relative_information_score: 1368.3625, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7202, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.3019, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8386, kappa: 0.82, kb_relative_information_score: 1624.7978, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8396, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8389, kappa: 0.8222, kb_relative_information_score: 1666.9786, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8161, kappa: 0.7917, kb_relative_information_score: 1647.4733, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8215, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8414, kappa: 0.8244, kb_relative_information_score: 1565.0912, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.6463, kappa: 0.595, kb_relative_information_score: 926.1735, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.713, predictive_accuracy: 0.6355, prior_entropy: 3.3219, recall: 0.6355, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8337, kappa: 0.815, kb_relative_information_score: 1600.5149, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6182, kappa: 0.5933, kb_relative_information_score: 782.8717, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7339, predictive_accuracy: 0.634, prior_entropy: 3.3219, recall: 0.634, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8515, kappa: 0.8356, kb_relative_information_score: 1685.1031, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8516, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8001, kappa: 0.7794, kb_relative_information_score: 1504.651, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8011, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8305, kappa: 0.8117, kb_relative_information_score: 1575.0799, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8317, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8731, kappa: 0.8589, kb_relative_information_score: 1736.9648, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8735, predictive_accuracy: 0.873, prior_entropy: 3.3219, recall: 0.873, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, kappa: 0.0006, kb_relative_information_score: 4.4248, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.1005, prior_entropy: 3.3219, recall: 0.1005, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.6641, kappa: 0.6433, kb_relative_information_score: 709.5987, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6982, predictive_accuracy: 0.679, prior_entropy: 3.3219, recall: 0.679, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, kappa: 0.2856, kb_relative_information_score: 280.4921, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.357, prior_entropy: 3.3219, recall: 0.357, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8258, kappa: 0.8067, kb_relative_information_score: 1598.9758, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8163, kappa: 0.7978, kb_relative_information_score: 1416.5764, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8365, kappa: 0.8183, kb_relative_information_score: 1604.8472, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8372, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8415, kappa: 0.8244, kb_relative_information_score: 54.8793, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 1363.1337, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7953, kappa: 0.7739, kb_relative_information_score: 1522.1735, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7963, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8317, kappa: 0.8133, kb_relative_information_score: 1606.2621, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8289, kappa: 0.8106, kb_relative_information_score: 1541.2148, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8298, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5427,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs