Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 14241 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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14241 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8279, kappa: 0.8052, kb_relative_information_score: 892.3763, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8343, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.6993, kappa: 0.6583, kb_relative_information_score: 726.4287, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7156, predictive_accuracy: 0.6963, prior_entropy: 3.1699, recall: 0.6963, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8372, kappa: 0.8135, kb_relative_information_score: 890.4616, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8455, predictive_accuracy: 0.8343, prior_entropy: 3.1699, recall: 0.8343, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.7731, kappa: 0.7417, kb_relative_information_score: 818.1588, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7839, predictive_accuracy: 0.7704, prior_entropy: 3.1699, recall: 0.7704, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.5643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8026, kappa: 0.774, kb_relative_information_score: 840.5744, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8107, predictive_accuracy: 0.7991, prior_entropy: 3.1699, recall: 0.7991, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.7507, kappa: 0.7135, kb_relative_information_score: 784.9712, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.766, predictive_accuracy: 0.7454, prior_entropy: 3.1699, recall: 0.7454, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7432, kappa: 0.7094, kb_relative_information_score: 786.1225, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7548, predictive_accuracy: 0.7417, prior_entropy: 3.1699, recall: 0.7417, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8418, kappa: 0.8188, kb_relative_information_score: 896.9086, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8498, predictive_accuracy: 0.8389, prior_entropy: 3.1699, recall: 0.8389, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.825, kappa: 0.8021, kb_relative_information_score: 898.6211, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8308, predictive_accuracy: 0.8241, prior_entropy: 3.1699, recall: 0.8241, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8345, kappa: 0.8125, kb_relative_information_score: 899.2919, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8411, predictive_accuracy: 0.8333, prior_entropy: 3.1699, recall: 0.8333, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.159, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8061, kappa: 0.7792, kb_relative_information_score: 850.6864, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8189, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7427, kappa: 0.7094, kb_relative_information_score: 786.0669, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7525, predictive_accuracy: 0.7417, prior_entropy: 3.1699, recall: 0.7417, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8451, kappa: 0.825, kb_relative_information_score: 913.2429, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8478, predictive_accuracy: 0.8444, prior_entropy: 3.1699, recall: 0.8444, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.723, kappa: 0.6792, kb_relative_information_score: 743.3123, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7483, predictive_accuracy: 0.7148, prior_entropy: 3.1699, recall: 0.7148, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.198, root_relative_squared_error: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8506, kappa: 0.8302, kb_relative_information_score: 920.4227, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8534, predictive_accuracy: 0.8491, prior_entropy: 3.1699, recall: 0.8491, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.7505, kappa: 0.7156, kb_relative_information_score: 789.6128, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7622, predictive_accuracy: 0.7472, prior_entropy: 3.1699, recall: 0.7472, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.723, kappa: 0.6792, kb_relative_information_score: 743.2857, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7483, predictive_accuracy: 0.7148, prior_entropy: 3.1699, recall: 0.7148, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8163, kappa: 0.7906, kb_relative_information_score: 858.7196, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.827, predictive_accuracy: 0.8139, prior_entropy: 3.1699, recall: 0.8139, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8017, kappa: 0.7729, kb_relative_information_score: 840.0811, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8098, predictive_accuracy: 0.7981, prior_entropy: 3.1699, recall: 0.7981, relative_absolute_error: 0.2782, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.6993, kappa: 0.6583, kb_relative_information_score: 726.4427, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7156, predictive_accuracy: 0.6963, prior_entropy: 3.1699, recall: 0.6963, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.6949, kappa: 0.6521, kb_relative_information_score: 722.7907, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.715, predictive_accuracy: 0.6907, prior_entropy: 3.1699, recall: 0.6907, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.809, kappa: 0.7823, kb_relative_information_score: 870.1679, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8173, predictive_accuracy: 0.8065, prior_entropy: 3.1699, recall: 0.8065, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7202, kappa: 0.6813, kb_relative_information_score: 755.4938, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.737, predictive_accuracy: 0.7167, prior_entropy: 3.1699, recall: 0.7167, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.7893, kappa: 0.7615, kb_relative_information_score: 834.1299, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8008, predictive_accuracy: 0.788, prior_entropy: 3.1699, recall: 0.788, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8525, kappa: 0.8323, kb_relative_information_score: 914.0594, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8568, predictive_accuracy: 0.8509, prior_entropy: 3.1699, recall: 0.8509, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.773, kappa: 0.7417, kb_relative_information_score: 818.7915, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7839, predictive_accuracy: 0.7704, prior_entropy: 3.1699, recall: 0.7704, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7512, kappa: 0.7146, kb_relative_information_score: 785.1309, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7651, predictive_accuracy: 0.7463, prior_entropy: 3.1699, recall: 0.7463, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.7661, kappa: 0.7344, kb_relative_information_score: 806.9181, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7753, predictive_accuracy: 0.7639, prior_entropy: 3.1699, recall: 0.7639, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8266, kappa: 0.8042, kb_relative_information_score: 900.0223, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8318, predictive_accuracy: 0.8259, prior_entropy: 3.1699, recall: 0.8259, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7312, kappa: 0.6885, kb_relative_information_score: 766.6703, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7509, predictive_accuracy: 0.7231, prior_entropy: 3.1699, recall: 0.7231, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7217, kappa: 0.6833, kb_relative_information_score: 762.8405, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7397, predictive_accuracy: 0.7185, prior_entropy: 3.1699, recall: 0.7185, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8061, kappa: 0.7792, kb_relative_information_score: 850.7614, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8189, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8036, kappa: 0.775, kb_relative_information_score: 836.4793, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8131, predictive_accuracy: 0.8, prior_entropy: 3.1699, recall: 0.8, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7306, kappa: 0.6896, kb_relative_information_score: 759.7792, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7472, predictive_accuracy: 0.7241, prior_entropy: 3.1699, recall: 0.7241, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8217, kappa: 0.7958, kb_relative_information_score: 862.619, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8337, predictive_accuracy: 0.8185, prior_entropy: 3.1699, recall: 0.8185, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8629, kappa: 0.8448, kb_relative_information_score: 928.787, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.865, predictive_accuracy: 0.862, prior_entropy: 3.1699, recall: 0.862, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.7172, kappa: 0.6719, kb_relative_information_score: 739.6289, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7461, predictive_accuracy: 0.7083, prior_entropy: 3.1699, recall: 0.7083, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.774, kappa: 0.7427, kb_relative_information_score: 818.9225, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.785, predictive_accuracy: 0.7713, prior_entropy: 3.1699, recall: 0.7713, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8108, kappa: 0.7844, kb_relative_information_score: 862.1188, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8201, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.7558, kappa: 0.7219, kb_relative_information_score: 798.811, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7638, predictive_accuracy: 0.7528, prior_entropy: 3.1699, recall: 0.7528, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7857, kappa: 0.7563, kb_relative_information_score: 821.6674, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8004, predictive_accuracy: 0.7833, prior_entropy: 3.1699, recall: 0.7833, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8132, kappa: 0.7875, kb_relative_information_score: 870.4317, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8229, predictive_accuracy: 0.8111, prior_entropy: 3.1699, recall: 0.8111, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8061, kappa: 0.7792, kb_relative_information_score: 850.7614, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8189, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.723, kappa: 0.6792, kb_relative_information_score: 743.2697, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7483, predictive_accuracy: 0.7148, prior_entropy: 3.1699, recall: 0.7148, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8108, kappa: 0.7844, kb_relative_information_score: 862.4586, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8201, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.7641, kappa: 0.7323, kb_relative_information_score: 803.1139, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7771, predictive_accuracy: 0.762, prior_entropy: 3.1699, recall: 0.762, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8061, kappa: 0.7792, kb_relative_information_score: 850.7979, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8189, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8027, kappa: 0.774, kb_relative_information_score: 835.4524, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8121, predictive_accuracy: 0.7991, prior_entropy: 3.1699, recall: 0.7991, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.6949, kappa: 0.6521, kb_relative_information_score: 722.7773, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.715, predictive_accuracy: 0.6907, prior_entropy: 3.1699, recall: 0.6907, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.6458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8277, kappa: 0.8052, kb_relative_information_score: 902.3575, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8325, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.7748, kappa: 0.7438, kb_relative_information_score: 819.6894, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7856, predictive_accuracy: 0.7722, prior_entropy: 3.1699, recall: 0.7722, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.7902, kappa: 0.7625, kb_relative_information_score: 834.9302, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8019, predictive_accuracy: 0.7889, prior_entropy: 3.1699, recall: 0.7889, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8103, kappa: 0.7823, kb_relative_information_score: 854.8317, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.821, predictive_accuracy: 0.8065, prior_entropy: 3.1699, recall: 0.8065, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.794, kappa: 0.7646, kb_relative_information_score: 828.885, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8059, predictive_accuracy: 0.7907, prior_entropy: 3.1699, recall: 0.7907, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7025, kappa: 0.6625, kb_relative_information_score: 734.2329, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7186, predictive_accuracy: 0.7, prior_entropy: 3.1699, recall: 0.7, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.7895, kappa: 0.7615, kb_relative_information_score: 833.4814, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8013, predictive_accuracy: 0.788, prior_entropy: 3.1699, recall: 0.788, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7533, kappa: 0.7188, kb_relative_information_score: 791.438, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7647, predictive_accuracy: 0.75, prior_entropy: 3.1699, recall: 0.75, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8555, kappa: 0.8365, kb_relative_information_score: 926.0488, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8577, predictive_accuracy: 0.8546, prior_entropy: 3.1699, recall: 0.8546, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.794, kappa: 0.7646, kb_relative_information_score: 828.9058, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8059, predictive_accuracy: 0.7907, prior_entropy: 3.1699, recall: 0.7907, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8506, kappa: 0.8302, kb_relative_information_score: 921.1009, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.854, predictive_accuracy: 0.8491, prior_entropy: 3.1699, recall: 0.8491, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8105, kappa: 0.7823, kb_relative_information_score: 853.7228, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8215, predictive_accuracy: 0.8065, prior_entropy: 3.1699, recall: 0.8065, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.723, kappa: 0.6792, kb_relative_information_score: 743.3114, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7483, predictive_accuracy: 0.7148, prior_entropy: 3.1699, recall: 0.7148, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.198, root_relative_squared_error: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8109, kappa: 0.7844, kb_relative_information_score: 861.9684, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8202, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7303, kappa: 0.6875, kb_relative_information_score: 766.0096, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7502, predictive_accuracy: 0.7222, prior_entropy: 3.1699, recall: 0.7222, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8667, kappa: 0.8479, kb_relative_information_score: 929.9488, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8722, predictive_accuracy: 0.8648, prior_entropy: 3.1699, recall: 0.8648, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7655, kappa: 0.7344, kb_relative_information_score: 804.5184, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7761, predictive_accuracy: 0.7639, prior_entropy: 3.1699, recall: 0.7639, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8637, kappa: 0.8448, kb_relative_information_score: 924.3055, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8679, predictive_accuracy: 0.862, prior_entropy: 3.1699, recall: 0.862, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8408, kappa: 0.8198, kb_relative_information_score: 913.0469, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.845, predictive_accuracy: 0.8398, prior_entropy: 3.1699, recall: 0.8398, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.7537, kappa: 0.7198, kb_relative_information_score: 798.0786, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7616, predictive_accuracy: 0.7509, prior_entropy: 3.1699, recall: 0.7509, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.7228, kappa: 0.6844, kb_relative_information_score: 763.0734, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7426, predictive_accuracy: 0.7194, prior_entropy: 3.1699, recall: 0.7194, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8442, kappa: 0.824, kb_relative_information_score: 914.9514, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8481, predictive_accuracy: 0.8435, prior_entropy: 3.1699, recall: 0.8435, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.7647, kappa: 0.7333, kb_relative_information_score: 803.4587, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7756, predictive_accuracy: 0.763, prior_entropy: 3.1699, recall: 0.763, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8261, kappa: 0.8031, kb_relative_information_score: 900.6186, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8306, predictive_accuracy: 0.825, prior_entropy: 3.1699, recall: 0.825, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8268, kappa: 0.8042, kb_relative_information_score: 902.0266, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8314, predictive_accuracy: 0.8259, prior_entropy: 3.1699, recall: 0.8259, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.7501, kappa: 0.7156, kb_relative_information_score: 790.2902, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7608, predictive_accuracy: 0.7472, prior_entropy: 3.1699, recall: 0.7472, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7857, kappa: 0.7563, kb_relative_information_score: 821.7566, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8004, predictive_accuracy: 0.7833, prior_entropy: 3.1699, recall: 0.7833, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7218, kappa: 0.6854, kb_relative_information_score: 769.9014, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7339, predictive_accuracy: 0.7204, prior_entropy: 3.1699, recall: 0.7204, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7441, kappa: 0.7104, kb_relative_information_score: 786.8454, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7552, predictive_accuracy: 0.7426, prior_entropy: 3.1699, recall: 0.7426, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.7641, kappa: 0.7323, kb_relative_information_score: 803.1538, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7771, predictive_accuracy: 0.762, prior_entropy: 3.1699, recall: 0.762, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8486, kappa: 0.8271, kb_relative_information_score: 904.4071, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8541, predictive_accuracy: 0.8463, prior_entropy: 3.1699, recall: 0.8463, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8692, kappa: 0.851, kb_relative_information_score: 931.555, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8726, predictive_accuracy: 0.8676, prior_entropy: 3.1699, recall: 0.8676, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8606, kappa: 0.8417, kb_relative_information_score: 921.177, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8632, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7315, kappa: 0.6969, kb_relative_information_score: 778.3898, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7416, predictive_accuracy: 0.7306, prior_entropy: 3.1699, recall: 0.7306, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7303, kappa: 0.6875, kb_relative_information_score: 766.0503, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7502, predictive_accuracy: 0.7222, prior_entropy: 3.1699, recall: 0.7222, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8108, kappa: 0.7844, kb_relative_information_score: 861.0849, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8201, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8061, kappa: 0.7792, kb_relative_information_score: 850.7015, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8189, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.6993, kappa: 0.6583, kb_relative_information_score: 726.4243, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7156, predictive_accuracy: 0.6963, prior_entropy: 3.1699, recall: 0.6963, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.7436, kappa: 0.7104, kb_relative_information_score: 786.4364, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7535, predictive_accuracy: 0.7426, prior_entropy: 3.1699, recall: 0.7426, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8036, kappa: 0.775, kb_relative_information_score: 836.5314, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8131, predictive_accuracy: 0.8, prior_entropy: 3.1699, recall: 0.8, relative_absolute_error: 0.2843, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.7857, kappa: 0.7563, kb_relative_information_score: 821.7039, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8004, predictive_accuracy: 0.7833, prior_entropy: 3.1699, recall: 0.7833, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7306, kappa: 0.6896, kb_relative_information_score: 759.7237, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7472, predictive_accuracy: 0.7241, prior_entropy: 3.1699, recall: 0.7241, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7314, kappa: 0.6969, kb_relative_information_score: 779.0955, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7415, predictive_accuracy: 0.7306, prior_entropy: 3.1699, recall: 0.7306, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8108, kappa: 0.7844, kb_relative_information_score: 862.3517, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8201, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.6949, kappa: 0.6521, kb_relative_information_score: 722.7534, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.715, predictive_accuracy: 0.6907, prior_entropy: 3.1699, recall: 0.6907, relative_absolute_error: 0.4062, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.794, kappa: 0.7646, kb_relative_information_score: 828.9168, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8059, predictive_accuracy: 0.7907, prior_entropy: 3.1699, recall: 0.7907, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8299, kappa: 0.8073, kb_relative_information_score: 892.2842, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8363, predictive_accuracy: 0.8287, prior_entropy: 3.1699, recall: 0.8287, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8017, kappa: 0.7729, kb_relative_information_score: 840.2042, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8098, predictive_accuracy: 0.7981, prior_entropy: 3.1699, recall: 0.7981, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8108, kappa: 0.7844, kb_relative_information_score: 861.0488, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8201, predictive_accuracy: 0.8083, prior_entropy: 3.1699, recall: 0.8083, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.7306, kappa: 0.6896, kb_relative_information_score: 759.7357, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7472, predictive_accuracy: 0.7241, prior_entropy: 3.1699, recall: 0.7241, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8113, kappa: 0.7833, kb_relative_information_score: 853.4094, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8222, predictive_accuracy: 0.8074, prior_entropy: 3.1699, recall: 0.8074, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5387,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs