Task
Supervised Classification on oh10.wc

Supervised Classification on oh10.wc

Task 3536 Supervised Classification oh10.wc 289 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7736, kappa: 0.7452, kb_relative_information_score: 710.402, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7812, predictive_accuracy: 0.7752, prior_entropy: 3.2054, recall: 0.7752, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7575, kappa: 0.7367, kb_relative_information_score: 674.1199, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.777, predictive_accuracy: 0.7695, prior_entropy: 3.2054, recall: 0.7695, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7818, kappa: 0.7517, kb_relative_information_score: 797.8324, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7859, predictive_accuracy: 0.781, prior_entropy: 3.2054, recall: 0.781, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.7041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 0.676, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.0126, kappa: 0.0127, kb_relative_information_score: 35.9841, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0073, predictive_accuracy: 0.0686, prior_entropy: 3.2054, recall: 0.0686, relative_absolute_error: 1.0538, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7524, kappa: 0.7098, kb_relative_information_score: 713.7985, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.78, predictive_accuracy: 0.7457, prior_entropy: 3.2054, recall: 0.7457, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.7718, kappa: 0.7394, kb_relative_information_score: 782.3289, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.79, predictive_accuracy: 0.7714, prior_entropy: 3.2054, recall: 0.7714, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.0127, kb_relative_information_score: 48.1134, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0069, predictive_accuracy: 0.0829, prior_entropy: 3.2054, recall: 0.0829, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3004, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.0427, kb_relative_information_score: 16.1959, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0247, predictive_accuracy: 0.1571, prior_entropy: 3.2054, recall: 0.1571, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.7089, kappa: 0.6671, kb_relative_information_score: 719.3853, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7196, predictive_accuracy: 0.7057, prior_entropy: 3.2054, recall: 0.7057, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.7656, kappa: 0.7381, kb_relative_information_score: 778.0066, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7681, predictive_accuracy: 0.7695, prior_entropy: 3.2054, recall: 0.7695, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.0311, kappa: -0.0008, kb_relative_information_score: 40.5102, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0308, predictive_accuracy: 0.0895, prior_entropy: 3.2054, recall: 0.0895, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2994, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7406, kappa: 0.7011, kb_relative_information_score: 742.8122, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7488, predictive_accuracy: 0.7362, prior_entropy: 3.2054, recall: 0.7362, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.5372, kappa: 0.5244, kb_relative_information_score: 542.2135, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.633, predictive_accuracy: 0.5933, prior_entropy: 3.2054, recall: 0.5933, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8028, kappa: 0.7763, kb_relative_information_score: 823.1406, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8052, predictive_accuracy: 0.8029, prior_entropy: 3.2054, recall: 0.8029, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.3027, kappa: 0.2616, kb_relative_information_score: 188.3211, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3402, predictive_accuracy: 0.3733, prior_entropy: 3.2054, recall: 0.3733, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8106, kappa: 0.7849, kb_relative_information_score: 812.3894, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.814, predictive_accuracy: 0.8105, prior_entropy: 3.2054, recall: 0.8105, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7753, kappa: 0.7471, kb_relative_information_score: 758.4402, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7991, predictive_accuracy: 0.7781, prior_entropy: 3.2054, recall: 0.7781, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7684, kappa: 0.7353, kb_relative_information_score: 753.6931, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7813, predictive_accuracy: 0.7667, prior_entropy: 3.2054, recall: 0.7667, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.7656, kappa: 0.7345, kb_relative_information_score: 695.4261, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7781, predictive_accuracy: 0.7667, prior_entropy: 3.2054, recall: 0.7667, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7967, kappa: 0.7726, kb_relative_information_score: 823.7601, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 3.2054, recall: 0.8, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7869, kappa: 0.7562, kb_relative_information_score: 793.801, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8023, predictive_accuracy: 0.7857, prior_entropy: 3.2054, recall: 0.7857, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.6449, kappa: 0.5923, kb_relative_information_score: 640.5867, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6648, predictive_accuracy: 0.6419, prior_entropy: 3.2054, recall: 0.6419, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.7627, kappa: 0.7299, kb_relative_information_score: 759.3908, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7654, predictive_accuracy: 0.7619, prior_entropy: 3.2054, recall: 0.7619, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7905, kappa: 0.762, kb_relative_information_score: 812.6856, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7962, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8253, kappa: 0.8049, kb_relative_information_score: 736.4088, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8342, predictive_accuracy: 0.8286, prior_entropy: 3.2054, recall: 0.8286, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8216, kappa: 0.8006, kb_relative_information_score: 714.4879, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8304, predictive_accuracy: 0.8248, prior_entropy: 3.2054, recall: 0.8248, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8269, kappa: 0.8111, kb_relative_information_score: 687.6985, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8411, predictive_accuracy: 0.8343, prior_entropy: 3.2054, recall: 0.8343, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.6217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8052, kappa: 0.7889, kb_relative_information_score: 668.9254, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8271, predictive_accuracy: 0.8152, prior_entropy: 3.2054, recall: 0.8152, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7237, kappa: 0.7125, kb_relative_information_score: 488.266, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7741, predictive_accuracy: 0.7495, prior_entropy: 3.2054, recall: 0.7495, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7899, kappa: 0.7799, kb_relative_information_score: 632.3843, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.821, predictive_accuracy: 0.8076, prior_entropy: 3.2054, recall: 0.8076, relative_absolute_error: 0.5959, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7879, kappa: 0.7775, kb_relative_information_score: 612.4542, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8303, predictive_accuracy: 0.8057, prior_entropy: 3.2054, recall: 0.8057, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7724, kappa: 0.763, kb_relative_information_score: 575.0672, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8242, predictive_accuracy: 0.7933, prior_entropy: 3.2054, recall: 0.7933, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7924, kappa: 0.7634, kb_relative_information_score: 778.301, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7959, predictive_accuracy: 0.7914, prior_entropy: 3.2054, recall: 0.7914, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.7627, kappa: 0.7299, kb_relative_information_score: 759.3908, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7654, predictive_accuracy: 0.7619, prior_entropy: 3.2054, recall: 0.7619, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.7894, kappa: 0.7603, kb_relative_information_score: 782.3257, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7922, predictive_accuracy: 0.7886, prior_entropy: 3.2054, recall: 0.7886, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7962, kappa: 0.7719, kb_relative_information_score: 657.6475, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.814, predictive_accuracy: 0.8, prior_entropy: 3.2054, recall: 0.8, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.5948, kappa: 0.5692, kb_relative_information_score: 505.6375, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6189, predictive_accuracy: 0.6248, prior_entropy: 3.2054, recall: 0.6248, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7694, kappa: 0.7587, kb_relative_information_score: 554.4647, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.825, predictive_accuracy: 0.7895, prior_entropy: 3.2054, recall: 0.7895, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7313, kappa: 0.7243, kb_relative_information_score: 509.1804, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7953, predictive_accuracy: 0.76, prior_entropy: 3.2054, recall: 0.76, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 0.676, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.6507, kappa: 0.6071, kb_relative_information_score: 573.4132, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6535, predictive_accuracy: 0.6543, prior_entropy: 3.2054, recall: 0.6543, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.7495, kappa: 0.7441, kb_relative_information_score: 496.0407, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8075, predictive_accuracy: 0.7771, prior_entropy: 3.2054, recall: 0.7771, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.729, kappa: 0.7243, kb_relative_information_score: 464.8768, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8002, predictive_accuracy: 0.76, prior_entropy: 3.2054, recall: 0.76, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7203, kappa: 0.7153, kb_relative_information_score: 448.23, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8028, predictive_accuracy: 0.7524, prior_entropy: 3.2054, recall: 0.7524, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.3826, kappa: 0.3013, kb_relative_information_score: 364.2289, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3848, predictive_accuracy: 0.3819, prior_entropy: 3.2054, recall: 0.3819, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3448, root_relative_squared_error: 1.1598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.7173, kappa: 0.7139, kb_relative_information_score: 427.6285, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8094, predictive_accuracy: 0.7514, prior_entropy: 3.2054, recall: 0.7514, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.1423, kappa: 0.0505, kb_relative_information_score: 74.3214, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.1209, predictive_accuracy: 0.1905, prior_entropy: 3.2054, recall: 0.1905, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.1907, kappa: 0.1449, kb_relative_information_score: 138.3989, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.1567, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.2493, kappa: 0.2069, kb_relative_information_score: 191.5805, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.2112, predictive_accuracy: 0.3248, prior_entropy: 3.2054, recall: 0.3248, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.4039, kappa: 0.3383, kb_relative_information_score: 340.7254, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.4071, predictive_accuracy: 0.4267, prior_entropy: 3.2054, recall: 0.4267, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.5663, kappa: 0.5051, kb_relative_information_score: 521.1403, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.589, predictive_accuracy: 0.5638, prior_entropy: 3.2054, recall: 0.5638, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.1757, kappa: 0.1328, kb_relative_information_score: 235.2383, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.238, predictive_accuracy: 0.2686, prior_entropy: 3.2054, recall: 0.2686, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.324, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.638, kappa: 0.5942, kb_relative_information_score: 614.3381, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6464, predictive_accuracy: 0.6429, prior_entropy: 3.2054, recall: 0.6429, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.7034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.7021, kappa: 0.6543, kb_relative_information_score: 682.642, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7196, predictive_accuracy: 0.6952, prior_entropy: 3.2054, recall: 0.6952, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7359, kappa: 0.6867, kb_relative_information_score: 714.0684, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7645, predictive_accuracy: 0.7229, prior_entropy: 3.2054, recall: 0.7229, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.3898, kappa: 0.3598, kb_relative_information_score: 225.8078, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.405, predictive_accuracy: 0.4552, prior_entropy: 3.2054, recall: 0.4552, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.7378, kappa: 0.7037, kb_relative_information_score: 739.9314, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7435, predictive_accuracy: 0.739, prior_entropy: 3.2054, recall: 0.739, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7592, kappa: 0.7304, kb_relative_information_score: 755.1616, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7646, predictive_accuracy: 0.7619, prior_entropy: 3.2054, recall: 0.7619, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.6489, kappa: 0.5969, kb_relative_information_score: 208.3235, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.756, predictive_accuracy: 0.6514, prior_entropy: 3.2054, recall: 0.6514, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7753, kappa: 0.7471, kb_relative_information_score: 775.6353, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7835, predictive_accuracy: 0.7771, prior_entropy: 3.2054, recall: 0.7771, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.7492, kappa: 0.7158, kb_relative_information_score: 746.8213, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7533, predictive_accuracy: 0.7495, prior_entropy: 3.2054, recall: 0.7495, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0792, kappa: 0.0357, kb_relative_information_score: 121.1188, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3044, predictive_accuracy: 0.0924, prior_entropy: 3.2054, recall: 0.0924, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3485, root_relative_squared_error: 1.1724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.3722, kappa: 0.2902, kb_relative_information_score: 345.0854, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3748, predictive_accuracy: 0.3733, prior_entropy: 3.2054, recall: 0.3733, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.354, root_relative_squared_error: 1.1909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.1724, kappa: 0.1288, kb_relative_information_score: 195.4411, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.1701, predictive_accuracy: 0.2657, prior_entropy: 3.2054, recall: 0.2657, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3832, root_relative_squared_error: 1.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7157, kappa: 0.6806, kb_relative_information_score: 730.5164, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7203, predictive_accuracy: 0.7171, prior_entropy: 3.2054, recall: 0.7171, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.7442, kappa: 0.7039, kb_relative_information_score: 737.2854, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7572, predictive_accuracy: 0.739, prior_entropy: 3.2054, recall: 0.739, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.0748, kappa: 0.0263, kb_relative_information_score: 45.2897, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3276, predictive_accuracy: 0.081, prior_entropy: 3.2054, recall: 0.081, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.4347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.6894, kappa: 0.6818, kb_relative_information_score: 403.7219, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7713, predictive_accuracy: 0.7238, prior_entropy: 3.2054, recall: 0.7238, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7284, kappa: 0.6915, kb_relative_information_score: 731.8187, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7343, predictive_accuracy: 0.7286, prior_entropy: 3.2054, recall: 0.7286, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.7532, kappa: 0.7537, kb_relative_information_score: 471.7441, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8383, predictive_accuracy: 0.7857, prior_entropy: 3.2054, recall: 0.7857, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.123, kappa: 0.0729, kb_relative_information_score: 121.279, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.4813, predictive_accuracy: 0.1333, prior_entropy: 3.2054, recall: 0.1333, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.7439, kappa: 0.7081, kb_relative_information_score: 765.9054, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7547, predictive_accuracy: 0.741, prior_entropy: 3.2054, recall: 0.741, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.4884, kappa: 0.464, kb_relative_information_score: 149.0509, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7111, predictive_accuracy: 0.5429, prior_entropy: 3.2054, recall: 0.5429, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.743, kappa: 0.7134, kb_relative_information_score: 774.448, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.742, predictive_accuracy: 0.7476, prior_entropy: 3.2054, recall: 0.7476, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.5706, kappa: 0.5339, kb_relative_information_score: 461.4361, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.6076, predictive_accuracy: 0.5943, prior_entropy: 3.2054, recall: 0.5943, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.7277, kappa: 0.6951, kb_relative_information_score: 726.3953, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7341, predictive_accuracy: 0.7314, prior_entropy: 3.2054, recall: 0.7314, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.6918, kappa: 0.6446, kb_relative_information_score: 674.9991, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7514, predictive_accuracy: 0.6905, prior_entropy: 3.2054, recall: 0.6905, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.4935, kappa: 0.4692, kb_relative_information_score: 567.9845, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7551, predictive_accuracy: 0.5124, prior_entropy: 3.2054, recall: 0.5124, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.3414, kappa: 0.318, kb_relative_information_score: 177.0826, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3301, predictive_accuracy: 0.42, prior_entropy: 3.2054, recall: 0.42, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.6473, kappa: 0.6381, kb_relative_information_score: 51.567, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7588, predictive_accuracy: 0.6876, prior_entropy: 3.2054, recall: 0.6876, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.7779, kappa: 0.739, kb_relative_information_score: 763.2874, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8005, predictive_accuracy: 0.7705, prior_entropy: 3.2054, recall: 0.7705, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.7042, kappa: 0.6488, kb_relative_information_score: 665.7812, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7841, predictive_accuracy: 0.6933, prior_entropy: 3.2054, recall: 0.6933, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.784, kappa: 0.7507, kb_relative_information_score: 768.8133, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8094, predictive_accuracy: 0.781, prior_entropy: 3.2054, recall: 0.781, relative_absolute_error: 0.3197, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.1828, kappa: 0.1251, kb_relative_information_score: 147.4298, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.1695, predictive_accuracy: 0.259, prior_entropy: 3.2054, recall: 0.259, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7175, kappa: 0.6715, kb_relative_information_score: 553.2091, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7887, predictive_accuracy: 0.7133, prior_entropy: 3.2054, recall: 0.7133, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7998, kappa: 0.777, kb_relative_information_score: 810.4869, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8048, predictive_accuracy: 0.8038, prior_entropy: 3.2054, recall: 0.8038, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.179, root_relative_squared_error: 0.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0257, kb_relative_information_score: 68.8033, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0144, predictive_accuracy: 0.12, prior_entropy: 3.2054, recall: 0.12, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.6434, kappa: 0.6287, kb_relative_information_score: 51.5797, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7249, predictive_accuracy: 0.679, prior_entropy: 3.2054, recall: 0.679, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.5372, kappa: 0.5244, kb_relative_information_score: 542.2135, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.633, predictive_accuracy: 0.5933, prior_entropy: 3.2054, recall: 0.5933, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7785, kappa: 0.7476, kb_relative_information_score: 805.7176, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7907, predictive_accuracy: 0.7781, prior_entropy: 3.2054, recall: 0.7781, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.0748, kappa: 0.0263, kb_relative_information_score: 45.197, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.3276, predictive_accuracy: 0.081, prior_entropy: 3.2054, recall: 0.081, relative_absolute_error: 1.0398, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.3517, kappa: 0.3435, kb_relative_information_score: 112.3928, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.5217, predictive_accuracy: 0.4419, prior_entropy: 3.2054, recall: 0.4419, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.5262, kappa: 0.4725, kb_relative_information_score: 518.7033, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.5335, predictive_accuracy: 0.539, prior_entropy: 3.2054, recall: 0.539, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3036, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8017, kappa: 0.7759, kb_relative_information_score: 837.1081, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.8049, predictive_accuracy: 0.8019, prior_entropy: 3.2054, recall: 0.8019, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7294, kappa: 0.6924, kb_relative_information_score: 738.8497, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7327, predictive_accuracy: 0.7286, prior_entropy: 3.2054, recall: 0.7286, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.0712, kappa: -0.0034, kb_relative_information_score: 0.676, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0483, predictive_accuracy: 0.1543, prior_entropy: 3.2054, recall: 0.1543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7231, kappa: 0.6904, kb_relative_information_score: 733.8081, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.7211, predictive_accuracy: 0.7267, prior_entropy: 3.2054, recall: 0.7267, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.1744, kappa: 0.1262, kb_relative_information_score: 147.8837, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.169, predictive_accuracy: 0.26, prior_entropy: 3.2054, recall: 0.26, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9428,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs