Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.6657, kappa: 0.5769, kb_relative_information_score: 443.9207, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6683, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6474, kappa: 0.5509, kb_relative_information_score: 429.5286, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6475, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6563, kappa: 0.5617, kb_relative_information_score: 436.7964, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6553, predictive_accuracy: 0.6576, prior_entropy: 2.2629, recall: 0.6576, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6231, kappa: 0.5127, kb_relative_information_score: 402.6735, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6317, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.3122, kappa: 0.1108, kb_relative_information_score: 147.7195, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3454, predictive_accuracy: 0.3207, prior_entropy: 2.2629, recall: 0.3207, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.6336, kappa: 0.5317, kb_relative_information_score: 415.4798, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6344, predictive_accuracy: 0.6332, prior_entropy: 2.2629, recall: 0.6332, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.2593, kappa: 0.0515, kb_relative_information_score: 102.281, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2865, predictive_accuracy: 0.2609, prior_entropy: 2.2629, recall: 0.2609, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6109, kappa: 0.4971, kb_relative_information_score: 392.1097, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6172, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.4574, kappa: 0.3157, kb_relative_information_score: 271.0926, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4634, predictive_accuracy: 0.4674, prior_entropy: 2.2629, recall: 0.4674, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4616, root_relative_squared_error: 1.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.3656, kappa: 0.1848, kb_relative_information_score: 191.5669, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3763, predictive_accuracy: 0.3709, prior_entropy: 2.2629, recall: 0.3709, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.2676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3994, f_measure: 0.0567, kappa: -0.1974, kb_relative_information_score: -75.3918, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.086, predictive_accuracy: 0.0516, prior_entropy: 2.2629, recall: 0.0516, relative_absolute_error: 1.2111, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.6159, root_relative_squared_error: 1.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.5822, kappa: 0.4684, kb_relative_information_score: 373.3281, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5825, predictive_accuracy: 0.5829, prior_entropy: 2.2629, recall: 0.5829, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.6606, kappa: 0.5669, kb_relative_information_score: 439.4729, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6606, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.6174, kappa: 0.5355, kb_relative_information_score: 410.1278, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.676, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, kappa: 0.028, kb_relative_information_score: 114.556, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3098, prior_entropy: 2.2629, recall: 0.3098, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6524, kappa: 0.5575, kb_relative_information_score: 433.9455, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6516, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.008, kb_relative_information_score: 103.7842, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2962, prior_entropy: 2.2629, recall: 0.2962, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5306, root_relative_squared_error: 1.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, kappa: 0.3198, kb_relative_information_score: 271.1474, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5068, prior_entropy: 2.2629, recall: 0.5068, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.1224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.6361, kappa: 0.5371, kb_relative_information_score: 420.4403, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6358, predictive_accuracy: 0.6372, prior_entropy: 2.2629, recall: 0.6372, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.6382, kappa: 0.5349, kb_relative_information_score: 418.9792, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6417, predictive_accuracy: 0.6359, prior_entropy: 2.2629, recall: 0.6359, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.2751, kappa: 0.0706, kb_relative_information_score: 118.3281, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3023, predictive_accuracy: 0.2826, prior_entropy: 2.2629, recall: 0.2826, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6467, kappa: 0.5496, kb_relative_information_score: 428.1304, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6459, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.65, kappa: 0.5519, kb_relative_information_score: 430.8891, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6522, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.3734, kappa: 0.1979, kb_relative_information_score: 196.9392, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3841, predictive_accuracy: 0.3791, prior_entropy: 2.2629, recall: 0.3791, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, kappa: 0.028, kb_relative_information_score: 114.556, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3098, prior_entropy: 2.2629, recall: 0.3098, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6388, kappa: 0.5405, kb_relative_information_score: 422.838, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6386, predictive_accuracy: 0.6399, prior_entropy: 2.2629, recall: 0.6399, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, kappa: 0.0984, kb_relative_information_score: 152.5182, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3573, prior_entropy: 2.2629, recall: 0.3573, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.507, root_relative_squared_error: 1.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, kappa: 0.026, kb_relative_information_score: 113.4788, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2629, recall: 0.3084, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.526, root_relative_squared_error: 1.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4212, f_measure: 0.102, kappa: -0.1574, kb_relative_information_score: -28.5319, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.1241, predictive_accuracy: 0.1141, prior_entropy: 2.2629, recall: 0.1141, relative_absolute_error: 1.1313, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5953, root_relative_squared_error: 1.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.6602, kappa: 0.5738, kb_relative_information_score: 439.652, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6715, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.6386, kappa: 0.544, kb_relative_information_score: 420.9792, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6434, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.6341, kappa: 0.5279, kb_relative_information_score: 412.2055, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6435, predictive_accuracy: 0.6332, prior_entropy: 2.2629, recall: 0.6332, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.535, kappa: 0.3957, kb_relative_information_score: 321.2941, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5683, predictive_accuracy: 0.5299, prior_entropy: 2.2629, recall: 0.5299, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4336, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.63, kappa: 0.5273, kb_relative_information_score: 411.8484, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.63, predictive_accuracy: 0.6318, prior_entropy: 2.2629, recall: 0.6318, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.6596, kappa: 0.5713, kb_relative_information_score: 438.6422, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.667, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.5928, kappa: 0.4786, kb_relative_information_score: 377.9989, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6101, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.606, kappa: 0.5038, kb_relative_information_score: 393.813, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6104, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, kappa: 0.028, kb_relative_information_score: 114.556, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3098, prior_entropy: 2.2629, recall: 0.3098, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.6198, kappa: 0.5083, kb_relative_information_score: 399.9124, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6281, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.4561, kappa: 0.3123, kb_relative_information_score: 269.2518, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4616, predictive_accuracy: 0.4647, prior_entropy: 2.2629, recall: 0.4647, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.1694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.246, kappa: 0.0419, kb_relative_information_score: 96.0717, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2551, predictive_accuracy: 0.2582, prior_entropy: 2.2629, recall: 0.2582, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6428, kappa: 0.5452, kb_relative_information_score: 425.4818, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6423, predictive_accuracy: 0.644, prior_entropy: 2.2629, recall: 0.644, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6062, kappa: 0.4964, kb_relative_information_score: 389.8717, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.6611, kappa: 0.5696, kb_relative_information_score: 440.0998, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6618, predictive_accuracy: 0.6658, prior_entropy: 2.2629, recall: 0.6658, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.5404, kappa: 0.4185, kb_relative_information_score: 339.5492, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5392, predictive_accuracy: 0.5448, prior_entropy: 2.2629, recall: 0.5448, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.6529, kappa: 0.557, kb_relative_information_score: 434.2624, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.653, predictive_accuracy: 0.6535, prior_entropy: 2.2629, recall: 0.6535, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.3923, kappa: 0.2215, kb_relative_information_score: 212.7656, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3963, predictive_accuracy: 0.3981, prior_entropy: 2.2629, recall: 0.3981, relative_absolute_error: 0.7686, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.6535, kappa: 0.5586, kb_relative_information_score: 433.2218, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6527, predictive_accuracy: 0.6563, prior_entropy: 2.2629, recall: 0.6563, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.6604, kappa: 0.5684, kb_relative_information_score: 440.0677, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6595, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.6272, kappa: 0.5227, kb_relative_information_score: 409.3931, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.628, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6285, kappa: 0.5278, kb_relative_information_score: 414.2892, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6272, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.668, kappa: 0.5773, kb_relative_information_score: 445.4077, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6686, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.6374, kappa: 0.5389, kb_relative_information_score: 421.4477, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6371, predictive_accuracy: 0.6386, prior_entropy: 2.2629, recall: 0.6386, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.253, kappa: 0.0431, kb_relative_information_score: 97.7174, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2782, predictive_accuracy: 0.2622, prior_entropy: 2.2629, recall: 0.2622, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.605, kappa: 0.5172, kb_relative_information_score: 398.9929, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6692, predictive_accuracy: 0.6345, prior_entropy: 2.2629, recall: 0.6345, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.6504, kappa: 0.5553, kb_relative_information_score: 433.2676, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6491, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.6382, kappa: 0.535, kb_relative_information_score: 418.9792, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6419, predictive_accuracy: 0.6359, prior_entropy: 2.2629, recall: 0.6359, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6409, kappa: 0.5432, kb_relative_information_score: 424.1337, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6398, predictive_accuracy: 0.6427, prior_entropy: 2.2629, recall: 0.6427, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.6715, kappa: 0.582, kb_relative_information_score: 448.3282, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6736, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.4004, kappa: 0.2399, kb_relative_information_score: 222.008, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4081, predictive_accuracy: 0.4117, prior_entropy: 2.2629, recall: 0.4117, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.2259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.6447, kappa: 0.5473, kb_relative_information_score: 427.7228, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6442, predictive_accuracy: 0.6454, prior_entropy: 2.2629, recall: 0.6454, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.6443, kappa: 0.5478, kb_relative_information_score: 425.8669, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.643, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.3992, kappa: 0.2392, kb_relative_information_score: 232.8099, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6006, predictive_accuracy: 0.4457, prior_entropy: 2.2629, recall: 0.4457, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4709, root_relative_squared_error: 1.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.6618, kappa: 0.5729, kb_relative_information_score: 440.8714, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6646, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.6519, kappa: 0.556, kb_relative_information_score: 432.4439, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.652, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.258, kappa: 0.0425, kb_relative_information_score: 100.0994, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2761, predictive_accuracy: 0.2595, prior_entropy: 2.2629, recall: 0.2595, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.639, kappa: 0.5456, kb_relative_information_score: 421.0086, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6472, predictive_accuracy: 0.6508, prior_entropy: 2.2629, recall: 0.6508, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.3787, kappa: 0.3093, kb_relative_information_score: 264.3635, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5414, predictive_accuracy: 0.4932, prior_entropy: 2.2629, recall: 0.4932, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4502, root_relative_squared_error: 1.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.6177, kappa: 0.5069, kb_relative_information_score: 398.8133, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6246, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.1415, kappa: -0.0233, kb_relative_information_score: 76.0604, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.1607, predictive_accuracy: 0.2582, prior_entropy: 2.2629, recall: 0.2582, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.6463, kappa: 0.5492, kb_relative_information_score: 428.3321, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6469, predictive_accuracy: 0.6467, prior_entropy: 2.2629, recall: 0.6467, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.6543, kappa: 0.5588, kb_relative_information_score: 435.2698, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.654, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6006, kappa: 0.5089, kb_relative_information_score: 393.8363, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6604, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.6504, kappa: 0.5558, kb_relative_information_score: 430.9537, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6508, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4029, f_measure: 0.0433, kappa: -0.1906, kb_relative_information_score: -85.9924, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0615, predictive_accuracy: 0.0367, prior_entropy: 2.2629, recall: 0.0367, relative_absolute_error: 1.2302, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.6207, root_relative_squared_error: 1.5687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.6185, kappa: 0.5071, kb_relative_information_score: 399.1963, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6258, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.66, kappa: 0.5661, kb_relative_information_score: 438.5968, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6598, predictive_accuracy: 0.6617, prior_entropy: 2.2629, recall: 0.6617, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.648, kappa: 0.5603, kb_relative_information_score: 429.7524, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6648, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9278,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5069, kappa: 0.4249, kb_relative_information_score: 336.6068, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6354, predictive_accuracy: 0.572, prior_entropy: 2.2629, recall: 0.572, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.0456,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.6345, kappa: 0.5469, kb_relative_information_score: 419.6985, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6728, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.5984, kappa: 0.4931, kb_relative_information_score: 385.4182, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6643, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.6576, kappa: 0.5712, kb_relative_information_score: 437.5528, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6738, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.6563, kappa: 0.5695, kb_relative_information_score: 436.5454, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6715, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.2492, kappa: 0.0385, kb_relative_information_score: 95.2322, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2849, predictive_accuracy: 0.2595, prior_entropy: 2.2629, recall: 0.2595, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5442, root_relative_squared_error: 1.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, kappa: 0.3534, kb_relative_information_score: 291.3277, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5272, prior_entropy: 2.2629, recall: 0.5272, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6216, kappa: 0.5117, kb_relative_information_score: 401.6562, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6295, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6479, kappa: 0.5507, kb_relative_information_score: 429.7993, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6479, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9463,

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