Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 123040 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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123040 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6771, kappa: 0.1751, kb_relative_information_score: 0.0816, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6709, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.95, unweighted_recall: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6149, kappa: 0.0273, kb_relative_information_score: 0.0784, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6243, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9356, unweighted_recall: 0.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6686, kappa: 0.1692, kb_relative_information_score: 0.1029, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6792, number_of_instances: 583, precision: 0.6617, predictive_accuracy: 0.6792, prior_entropy: 0.8641, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9998, unweighted_recall: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.642, kappa: 0.0838, kb_relative_information_score: 0.0912, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6503, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9363, unweighted_recall: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6837, kappa: 0.1907, kb_relative_information_score: 0.1075, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6798, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9451, unweighted_recall: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, kb_relative_information_score: 0.0481, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9534, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6726, kappa: 0.1665, kb_relative_information_score: 0.098, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6947, number_of_instances: 583, precision: 0.6647, predictive_accuracy: 0.6947, prior_entropy: 0.8641, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9539, unweighted_recall: 0.5746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6602, kappa: 0.1271, kb_relative_information_score: 0.0942, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.6628, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.949, unweighted_recall: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6685, kappa: 0.1525, kb_relative_information_score: 0.0905, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.6612, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9482, unweighted_recall: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.6828, kappa: 0.1871, kb_relative_information_score: 0.1116, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6802, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9328, unweighted_recall: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 0.0015, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6384, kappa: 0.0873, kb_relative_information_score: 0.0826, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7238, number_of_instances: 583, precision: 0.7012, predictive_accuracy: 0.7238, prior_entropy: 0.8641, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9307, unweighted_recall: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6724, kappa: 0.1707, kb_relative_information_score: 0.0925, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6895, number_of_instances: 583, precision: 0.6644, predictive_accuracy: 0.6895, prior_entropy: 0.8641, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9886, unweighted_recall: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6726, kappa: 0.1665, kb_relative_information_score: 0.107, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6947, number_of_instances: 583, precision: 0.6647, predictive_accuracy: 0.6947, prior_entropy: 0.8641, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9461, unweighted_recall: 0.5746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.644, kappa: 0.0959, kb_relative_information_score: 0.0704, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6655, number_of_instances: 583, precision: 0.6329, predictive_accuracy: 0.6655, prior_entropy: 0.8641, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9918, unweighted_recall: 0.5434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6662, kappa: 0.1512, kb_relative_information_score: 0.0819, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6878, number_of_instances: 583, precision: 0.6575, predictive_accuracy: 0.6878, prior_entropy: 0.8641, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9672, unweighted_recall: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.6573, kappa: 0.1238, kb_relative_information_score: 0.1086, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6861, number_of_instances: 583, precision: 0.648, predictive_accuracy: 0.6861, prior_entropy: 0.8641, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9412, unweighted_recall: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.6869, kappa: 0.2073, kb_relative_information_score: 0.115, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6801, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9429, unweighted_recall: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6727, kappa: 0.1591, kb_relative_information_score: 0.1165, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6745, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9282, unweighted_recall: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.6662, kappa: 0.1512, kb_relative_information_score: 0.0825, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6878, number_of_instances: 583, precision: 0.6575, predictive_accuracy: 0.6878, prior_entropy: 0.8641, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9653, unweighted_recall: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.6836, kappa: 0.1946, kb_relative_information_score: 0.1017, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6771, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9458, unweighted_recall: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.663, kappa: 0.1503, kb_relative_information_score: 0.0788, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6775, number_of_instances: 583, precision: 0.6547, predictive_accuracy: 0.6775, prior_entropy: 0.8641, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.9723, unweighted_recall: 0.5697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6624, kappa: 0.133, kb_relative_information_score: 0.0926, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6699, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9426, unweighted_recall: 0.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6679, kappa: 0.1582, kb_relative_information_score: 0.1314, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6861, number_of_instances: 583, precision: 0.6594, predictive_accuracy: 0.6861, prior_entropy: 0.8641, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9805, unweighted_recall: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6677, kappa: 0.1473, kb_relative_information_score: 0.1008, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9398, unweighted_recall: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6639, kappa: 0.1535, kb_relative_information_score: 0.1009, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6775, number_of_instances: 583, precision: 0.6559, predictive_accuracy: 0.6775, prior_entropy: 0.8641, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9741, unweighted_recall: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6739, kappa: 0.1645, kb_relative_information_score: 0.1167, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6691, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9306, unweighted_recall: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.6779, kappa: 0.1736, kb_relative_information_score: 0.1044, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.676, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9408, unweighted_recall: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.6823, kappa: 0.1984, kb_relative_information_score: 0.1082, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.6752, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9839, unweighted_recall: 0.5919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.5901, kappa: -0.0169, kb_relative_information_score: 0.0307, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.5074, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9663, unweighted_recall: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 0.0838, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 0.8837, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9474, unweighted_recall: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6612, kappa: 0.1306, kb_relative_information_score: 0.0931, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6981, number_of_instances: 583, precision: 0.6557, predictive_accuracy: 0.6981, prior_entropy: 0.8641, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9376, unweighted_recall: 0.5555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.66, kappa: 0.1281, kb_relative_information_score: 0.1049, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6947, number_of_instances: 583, precision: 0.6531, predictive_accuracy: 0.6947, prior_entropy: 0.8641, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9403, unweighted_recall: 0.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7069, kappa: 0.2667, kb_relative_information_score: 0.1185, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.7019, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9526, unweighted_recall: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6726, kappa: 0.1587, kb_relative_information_score: 0.1085, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.6762, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9298, unweighted_recall: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6835, kappa: 0.1908, kb_relative_information_score: 0.1189, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6788, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9424, unweighted_recall: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6886, kappa: 0.2036, kb_relative_information_score: 0.1121, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.685, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9348, unweighted_recall: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6891, kappa: 0.2135, kb_relative_information_score: 0.1126, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6825, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9457, unweighted_recall: 0.5979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6896, kappa: 0.2102, kb_relative_information_score: 0.1039, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6837, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9479, unweighted_recall: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6701, kappa: 0.1534, kb_relative_information_score: 0.0994, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7221, number_of_instances: 583, precision: 0.6848, predictive_accuracy: 0.7221, prior_entropy: 0.8641, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.926, unweighted_recall: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.6566, kappa: 0.1397, kb_relative_information_score: 0.0725, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6672, number_of_instances: 583, precision: 0.6494, predictive_accuracy: 0.6672, prior_entropy: 0.8641, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9956, unweighted_recall: 0.5661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6727, kappa: 0.1607, kb_relative_information_score: 0.1119, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6692, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9326, unweighted_recall: 0.5687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6788, kappa: 0.1776, kb_relative_information_score: 0.1089, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.6745, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.8593, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9328, unweighted_recall: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6702, kappa: 0.1884, kb_relative_information_score: 0.119, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6724, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.6724, prior_entropy: 0.8641, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.0163, unweighted_recall: 0.593,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.679, kappa: 0.1774, kb_relative_information_score: 0.1092, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6756, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9379, unweighted_recall: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6649, kappa: 0.1482, kb_relative_information_score: 0.0999, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6861, number_of_instances: 583, precision: 0.656, predictive_accuracy: 0.6861, prior_entropy: 0.8641, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9471, unweighted_recall: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6902, kappa: 0.2067, kb_relative_information_score: 0.0869, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7187, number_of_instances: 583, precision: 0.6881, predictive_accuracy: 0.7187, prior_entropy: 0.8641, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9434, unweighted_recall: 0.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.6298, kappa: 0.0549, kb_relative_information_score: 0.0623, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6587, number_of_instances: 583, precision: 0.616, predictive_accuracy: 0.6587, prior_entropy: 0.8641, relative_absolute_error: 0.8856, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9788, unweighted_recall: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6869, kappa: 0.204, kb_relative_information_score: 0.1102, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6805, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.936, unweighted_recall: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6662, kappa: 0.1455, kb_relative_information_score: 0.1039, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.6591, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9453, unweighted_recall: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.68, kappa: 0.181, kb_relative_information_score: 0.0997, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.6753, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.8652, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9443, unweighted_recall: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.6613, kappa: 0.1312, kb_relative_information_score: 0.0882, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.6549, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9594, unweighted_recall: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6735, kappa: 0.181, kb_relative_information_score: 0.0951, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.6667, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9557, unweighted_recall: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6784, kappa: 0.1781, kb_relative_information_score: 0.1051, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6726, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9409, unweighted_recall: 0.5782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.6892, kappa: 0.2282, kb_relative_information_score: 0.1267, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6947, number_of_instances: 583, precision: 0.6851, predictive_accuracy: 0.6947, prior_entropy: 0.8641, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0015, unweighted_recall: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6724, kappa: 0.191, kb_relative_information_score: 0.0764, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6758, number_of_instances: 583, precision: 0.6695, predictive_accuracy: 0.6758, prior_entropy: 0.8641, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0151, unweighted_recall: 0.5936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.6805, kappa: 0.1886, kb_relative_information_score: 0.1141, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.6733, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9618, unweighted_recall: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6782, kappa: 0.1784, kb_relative_information_score: 0.1123, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9434, unweighted_recall: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6675, kappa: 0.1586, kb_relative_information_score: 0.0965, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.659, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9558, unweighted_recall: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6592, kappa: 0.153, kb_relative_information_score: 0.0436, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6655, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6655, prior_entropy: 0.8641, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0555, unweighted_recall: 0.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6394, kappa: 0.0947, kb_relative_information_score: 0.0652, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6518, number_of_instances: 583, precision: 0.6308, predictive_accuracy: 0.6518, prior_entropy: 0.8641, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.1066, unweighted_recall: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0242, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9676, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6656, kappa: 0.152, kb_relative_information_score: 0.0994, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.6568, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9824, unweighted_recall: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6602, kappa: 0.1403, kb_relative_information_score: 0.0723, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6775, number_of_instances: 583, precision: 0.6512, predictive_accuracy: 0.6775, prior_entropy: 0.8641, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9737, unweighted_recall: 0.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.6928, kappa: 0.2341, kb_relative_information_score: 0.1086, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.6879, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.0253, unweighted_recall: 0.6122,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6961, kappa: 0.2346, kb_relative_information_score: 0.149, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.69, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.0053, unweighted_recall: 0.6093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6822, kappa: 0.1915, kb_relative_information_score: 0.1103, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6755, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9559, unweighted_recall: 0.586,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.6678, kappa: 0.166, kb_relative_information_score: 0.1052, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6792, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.6792, prior_entropy: 0.8641, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.958, unweighted_recall: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.6864, kappa: 0.2196, kb_relative_information_score: 0.1126, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4091, weighted_recall: 0.693, number_of_instances: 583, precision: 0.6817, predictive_accuracy: 0.693, prior_entropy: 0.8641, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0004, unweighted_recall: 0.6056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6652, kappa: 0.1478, kb_relative_information_score: 0.0987, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6878, number_of_instances: 583, precision: 0.6564, predictive_accuracy: 0.6878, prior_entropy: 0.8641, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9467, unweighted_recall: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6548, kappa: 0.1172, kb_relative_information_score: 0.0867, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.6452, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.956, unweighted_recall: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6702, kappa: 0.154, kb_relative_information_score: 0.097, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9411, unweighted_recall: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.653, kappa: 0.122, kb_relative_information_score: 0.0989, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6707, number_of_instances: 583, precision: 0.6434, predictive_accuracy: 0.6707, prior_entropy: 0.8641, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9682, unweighted_recall: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6638, kappa: 0.1369, kb_relative_information_score: 0.0976, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7015, number_of_instances: 583, precision: 0.6596, predictive_accuracy: 0.7015, prior_entropy: 0.8641, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9372, unweighted_recall: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6657, kappa: 0.1469, kb_relative_information_score: 0.0955, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6913, number_of_instances: 583, precision: 0.6573, predictive_accuracy: 0.6913, prior_entropy: 0.8641, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.9542, unweighted_recall: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6646, kappa: 0.1434, kb_relative_information_score: 0.1052, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6913, number_of_instances: 583, precision: 0.6563, predictive_accuracy: 0.6913, prior_entropy: 0.8641, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9444, unweighted_recall: 0.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6605, kappa: 0.1349, kb_relative_information_score: 0.0808, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.6511, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.97, unweighted_recall: 0.5602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.671, kappa: 0.1715, kb_relative_information_score: 0.1004, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6844, number_of_instances: 583, precision: 0.6634, predictive_accuracy: 0.6844, prior_entropy: 0.8641, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4565, root_relative_squared_error: 1.0096, unweighted_recall: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6639, kappa: 0.161, kb_relative_information_score: 0.0903, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6724, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6724, prior_entropy: 0.8641, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.0409, unweighted_recall: 0.5769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: -0.0004, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6668, kappa: 0.1503, kb_relative_information_score: 0.0915, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6913, number_of_instances: 583, precision: 0.6584, predictive_accuracy: 0.6913, prior_entropy: 0.8641, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.9501, unweighted_recall: 0.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6723, kappa: 0.1814, kb_relative_information_score: 0.0963, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, weighted_recall: 0.681, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.681, prior_entropy: 0.8641, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9752, unweighted_recall: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6535, kappa: 0.1142, kb_relative_information_score: 0.0984, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6827, number_of_instances: 583, precision: 0.6436, predictive_accuracy: 0.6827, prior_entropy: 0.8641, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9446, unweighted_recall: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6709, kappa: 0.159, kb_relative_information_score: 0.0843, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6981, number_of_instances: 583, precision: 0.6639, predictive_accuracy: 0.6981, prior_entropy: 0.8641, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9522, unweighted_recall: 0.5698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6692, kappa: 0.1567, kb_relative_information_score: 0.0936, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4091, weighted_recall: 0.693, number_of_instances: 583, precision: 0.6611, predictive_accuracy: 0.693, prior_entropy: 0.8641, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9741, unweighted_recall: 0.5698,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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

OpenML APIs