OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 19991 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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19991 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.6445, kappa: 0.547, kb_relative_information_score: 0.5801, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6439, predictive_accuracy: 0.6454, prior_entropy: 2.2621, 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: 0.7706, f_measure: 0.6408, kappa: 0.5383, kb_relative_information_score: 0.5726, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6445, predictive_accuracy: 0.6386, prior_entropy: 2.2621, 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: 0.7772, f_measure: 0.6487, kappa: 0.552, kb_relative_information_score: 0.5851, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6482, predictive_accuracy: 0.6495, prior_entropy: 2.2621, 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: 0.7817, f_measure: 0.6566, kappa: 0.5617, kb_relative_information_score: 0.5936, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6568, predictive_accuracy: 0.6576, prior_entropy: 2.2621, 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: 0.7792, f_measure: 0.6524, kappa: 0.5565, kb_relative_information_score: 0.5887, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6522, predictive_accuracy: 0.6535, prior_entropy: 2.2621, 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: 0.7752, f_measure: 0.6458, kappa: 0.5482, kb_relative_information_score: 0.5813, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6455, predictive_accuracy: 0.6467, prior_entropy: 2.2621, 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: 0.5, kb_relative_information_score: 0.1352, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, 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: 0.7706, f_measure: 0.6408, kappa: 0.5383, kb_relative_information_score: 0.5726, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6445, predictive_accuracy: 0.6386, prior_entropy: 2.2621, 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: 0.655, kappa: 0.3144, kb_relative_information_score: 0.3642, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5027, prior_entropy: 2.2621, recall: 0.5027, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.446, root_relative_squared_error: 1.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1352, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, 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: 0.5019, kappa: 0.0042, kb_relative_information_score: 0.1385, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2935, prior_entropy: 2.2621, recall: 0.2935, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.6609, kappa: 0.5742, kb_relative_information_score: 0.598, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6705, predictive_accuracy: 0.6726, prior_entropy: 2.2621, 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: 0.7801, f_measure: 0.6543, kappa: 0.5576, kb_relative_information_score: 0.5906, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6559, predictive_accuracy: 0.6535, prior_entropy: 2.2621, 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: 0.6924, f_measure: 0.5125, kappa: 0.3775, kb_relative_information_score: 0.4223, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5351, predictive_accuracy: 0.5082, prior_entropy: 2.2621, recall: 0.5082, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.6471, kappa: 0.5501, kb_relative_information_score: 0.5827, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6467, predictive_accuracy: 0.6481, prior_entropy: 2.2621, 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: 0.6546, f_measure: 0.4553, kappa: 0.3055, kb_relative_information_score: 0.3595, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4613, predictive_accuracy: 0.4579, prior_entropy: 2.2621, recall: 0.4579, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4657, root_relative_squared_error: 1.1768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.2746, kappa: 0.0746, kb_relative_information_score: 0.1353, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2909, predictive_accuracy: 0.2636, prior_entropy: 2.2621, recall: 0.2636, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.5505, kappa: 0.4297, kb_relative_information_score: 0.473, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5671, predictive_accuracy: 0.5476, prior_entropy: 2.2621, recall: 0.5476, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.6434, kappa: 0.5582, kb_relative_information_score: 0.5812, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6785, predictive_accuracy: 0.663, prior_entropy: 2.2621, 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: 0.7901, f_measure: 0.6693, kappa: 0.5791, kb_relative_information_score: 0.6072, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6697, predictive_accuracy: 0.6726, prior_entropy: 2.2621, 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: 0.7878, f_measure: 0.666, kappa: 0.5748, kb_relative_information_score: 0.6025, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6674, predictive_accuracy: 0.6698, prior_entropy: 2.2621, 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: 0.7827, f_measure: 0.6574, kappa: 0.5637, kb_relative_information_score: 0.5936, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6574, predictive_accuracy: 0.6603, prior_entropy: 2.2621, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.5977, kappa: 0.4837, kb_relative_information_score: 0.5188, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.6033, prior_entropy: 2.2621, recall: 0.6033, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.6109, kappa: 0.503, kb_relative_information_score: 0.5359, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6148, predictive_accuracy: 0.6155, prior_entropy: 2.2621, 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: 0.7421, f_measure: 0.5991, kappa: 0.4879, kb_relative_information_score: 0.5216, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6196, predictive_accuracy: 0.6087, prior_entropy: 2.2621, recall: 0.6087, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.6514, kappa: 0.5647, kb_relative_information_score: 0.5881, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6768, predictive_accuracy: 0.6671, prior_entropy: 2.2621, recall: 0.6671, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.5194, kappa: 0.3839, kb_relative_information_score: 0.4329, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.597, predictive_accuracy: 0.5394, prior_entropy: 2.2621, recall: 0.5394, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.6581, kappa: 0.5687, kb_relative_information_score: 0.5944, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6629, predictive_accuracy: 0.6671, prior_entropy: 2.2621, recall: 0.6671, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.6559, kappa: 0.5657, kb_relative_information_score: 0.5924, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6595, predictive_accuracy: 0.6644, prior_entropy: 2.2621, 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: 0.7752, f_measure: 0.6453, kappa: 0.5492, kb_relative_information_score: 0.5799, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6447, predictive_accuracy: 0.6495, prior_entropy: 2.2621, 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: 0.73, f_measure: 0.5827, kappa: 0.4657, kb_relative_information_score: 0.5026, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.5938, prior_entropy: 2.2621, recall: 0.5938, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6404, kappa: 0.5427, kb_relative_information_score: 0.5769, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6404, predictive_accuracy: 0.6413, prior_entropy: 2.2621, recall: 0.6413, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7178, f_measure: 0.5659, kappa: 0.4431, kb_relative_information_score: 0.4833, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6101, predictive_accuracy: 0.5788, prior_entropy: 2.2621, recall: 0.5788, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.3871, kappa: 0.3351, kb_relative_information_score: 0.3808, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5788, predictive_accuracy: 0.5163, prior_entropy: 2.2621, recall: 0.5163, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.6551, kappa: 0.5603, kb_relative_information_score: 0.5908, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6545, predictive_accuracy: 0.6576, prior_entropy: 2.2621, 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: 0.7726, f_measure: 0.6407, kappa: 0.5429, kb_relative_information_score: 0.5762, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6393, predictive_accuracy: 0.6427, prior_entropy: 2.2621, 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: 0.6597, kappa: 0.3231, kb_relative_information_score: 0.3703, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5082, prior_entropy: 2.2621, recall: 0.5082, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.6552, kappa: 0.5644, kb_relative_information_score: 0.5919, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6573, predictive_accuracy: 0.663, prior_entropy: 2.2621, 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: 0.7855, f_measure: 0.658, kappa: 0.5731, kb_relative_information_score: 0.5957, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6736, predictive_accuracy: 0.6726, prior_entropy: 2.2621, 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: 0.655, kappa: 0.3144, kb_relative_information_score: 0.3641, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5027, prior_entropy: 2.2621, recall: 0.5027, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.446, root_relative_squared_error: 1.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, kappa: 0.0182, kb_relative_information_score: 0.1487, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.303, prior_entropy: 2.2621, recall: 0.303, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.528, root_relative_squared_error: 1.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.3806, kappa: 0.3342, kb_relative_information_score: 0.3794, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.664, predictive_accuracy: 0.5149, prior_entropy: 2.2621, recall: 0.5149, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4405, root_relative_squared_error: 1.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, kappa: 0.3208, kb_relative_information_score: 0.3689, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5068, prior_entropy: 2.2621, 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: 0.7846, f_measure: 0.6587, kappa: 0.57, kb_relative_information_score: 0.5953, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6641, predictive_accuracy: 0.6685, prior_entropy: 2.2621, recall: 0.6685, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, kappa: 0.3127, kb_relative_information_score: 0.3624, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5014, prior_entropy: 2.2621, recall: 0.5014, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4466, root_relative_squared_error: 1.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.6614, kappa: 0.5705, kb_relative_information_score: 0.5985, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6642, predictive_accuracy: 0.6671, prior_entropy: 2.2621, recall: 0.6671, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, kappa: 0.254, kb_relative_information_score: 0.3216, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.4633, prior_entropy: 2.2621, recall: 0.4633, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4633, root_relative_squared_error: 1.1709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1352, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, 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: 0.7792, f_measure: 0.6522, kappa: 0.5561, kb_relative_information_score: 0.5875, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6526, predictive_accuracy: 0.6535, prior_entropy: 2.2621, 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: 0.7724, f_measure: 0.6414, kappa: 0.5422, kb_relative_information_score: 0.5746, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.642, predictive_accuracy: 0.6427, prior_entropy: 2.2621, 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: 0.7766, f_measure: 0.6481, kappa: 0.5518, kb_relative_information_score: 0.5837, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6472, predictive_accuracy: 0.6508, prior_entropy: 2.2621, 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: 0.501, kappa: 0.0022, kb_relative_information_score: 0.137, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2621, 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: 0.137, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2621, 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: 0.7559, f_measure: 0.621, kappa: 0.5099, kb_relative_information_score: 0.5449, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6296, predictive_accuracy: 0.6182, prior_entropy: 2.2621, 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: 0.7741, f_measure: 0.644, kappa: 0.5457, kb_relative_information_score: 0.5777, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6444, predictive_accuracy: 0.6454, prior_entropy: 2.2621, 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: 0.7758, f_measure: 0.6465, kappa: 0.5498, kb_relative_information_score: 0.5833, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6458, predictive_accuracy: 0.6481, prior_entropy: 2.2621, 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: 0.7733, f_measure: 0.6429, kappa: 0.544, kb_relative_information_score: 0.5763, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6437, predictive_accuracy: 0.644, prior_entropy: 2.2621, 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: 0.501, kappa: 0.0022, kb_relative_information_score: 0.137, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2621, 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: 0.6834, f_measure: 0.4834, kappa: 0.378, kb_relative_information_score: 0.4247, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.5435, prior_entropy: 2.2621, recall: 0.5435, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6562, kappa: 0.5622, kb_relative_information_score: 0.593, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6554, predictive_accuracy: 0.659, prior_entropy: 2.2621, recall: 0.659, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.6573, kappa: 0.5633, kb_relative_information_score: 0.5954, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6564, predictive_accuracy: 0.659, prior_entropy: 2.2621, recall: 0.659, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6584, kappa: 0.5656, kb_relative_information_score: 0.5978, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.657, predictive_accuracy: 0.6603, prior_entropy: 2.2621, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, kappa: 0.026, kb_relative_information_score: 0.1542, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3084, prior_entropy: 2.2621, 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: 0.5652, kappa: 0.1366, kb_relative_information_score: 0.237, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3832, prior_entropy: 2.2621, recall: 0.3832, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, kappa: 0.04, kb_relative_information_score: 0.1645, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3179, prior_entropy: 2.2621, recall: 0.3179, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.6344, kappa: 0.535, kb_relative_information_score: 0.5694, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6337, predictive_accuracy: 0.6359, prior_entropy: 2.2621, 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: 0.7777, f_measure: 0.6493, kappa: 0.5536, kb_relative_information_score: 0.5871, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6482, predictive_accuracy: 0.6508, prior_entropy: 2.2621, 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: 0.7799, f_measure: 0.6529, kappa: 0.5583, kb_relative_information_score: 0.5883, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6525, predictive_accuracy: 0.6563, prior_entropy: 2.2621, 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: 0.7816, f_measure: 0.6561, kappa: 0.5619, kb_relative_information_score: 0.5919, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.656, predictive_accuracy: 0.659, prior_entropy: 2.2621, recall: 0.659, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.6685, kappa: 0.5786, kb_relative_information_score: 0.6066, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6695, predictive_accuracy: 0.6726, prior_entropy: 2.2621, 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: 0.7804, f_measure: 0.6542, kappa: 0.5595, kb_relative_information_score: 0.5915, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6532, predictive_accuracy: 0.6563, prior_entropy: 2.2621, 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: 0.5489, kappa: 0.1026, kb_relative_information_score: 0.2114, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3601, prior_entropy: 2.2621, recall: 0.3601, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.2785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.6516, kappa: 0.556, kb_relative_information_score: 0.5883, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6508, predictive_accuracy: 0.6535, prior_entropy: 2.2621, 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: 0.7832, f_measure: 0.6587, kappa: 0.5653, kb_relative_information_score: 0.595, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6582, predictive_accuracy: 0.6617, prior_entropy: 2.2621, 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: 0.7805, f_measure: 0.6541, kappa: 0.5599, kb_relative_information_score: 0.5898, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6534, predictive_accuracy: 0.6576, prior_entropy: 2.2621, 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: 0.5096, kappa: 0.02, kb_relative_information_score: 0.1498, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3043, prior_entropy: 2.2621, recall: 0.3043, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6413, kappa: 0.5436, kb_relative_information_score: 0.5777, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6405, predictive_accuracy: 0.6427, prior_entropy: 2.2621, 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: 0.7783, f_measure: 0.6511, kappa: 0.555, kb_relative_information_score: 0.588, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6505, predictive_accuracy: 0.6522, prior_entropy: 2.2621, 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: 0.7695, f_measure: 0.6356, kappa: 0.5363, kb_relative_information_score: 0.5703, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6345, predictive_accuracy: 0.6372, prior_entropy: 2.2621, 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: 0.6525, kappa: 0.3099, kb_relative_information_score: 0.3612, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5, prior_entropy: 2.2621, recall: 0.5, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.533, kappa: 0.4459, kb_relative_information_score: 0.476, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6222, predictive_accuracy: 0.5842, prior_entropy: 2.2621, recall: 0.5842, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.5315, kappa: 0.4469, kb_relative_information_score: 0.4768, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6246, predictive_accuracy: 0.5856, prior_entropy: 2.2621, recall: 0.5856, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.5342, kappa: 0.4489, kb_relative_information_score: 0.4786, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6263, predictive_accuracy: 0.587, prior_entropy: 2.2621, recall: 0.587, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.5342, kappa: 0.4488, kb_relative_information_score: 0.4786, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.627, predictive_accuracy: 0.587, prior_entropy: 2.2621, recall: 0.587, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.6571, kappa: 0.5678, kb_relative_information_score: 0.593, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6649, predictive_accuracy: 0.6671, prior_entropy: 2.2621, recall: 0.6671, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, kappa: 0.1347, kb_relative_information_score: 0.2355, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3818, prior_entropy: 2.2621, recall: 0.3818, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 0.137, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2621, 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: 0.7808, f_measure: 0.6545, kappa: 0.5614, kb_relative_information_score: 0.5893, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6573, predictive_accuracy: 0.6603, prior_entropy: 2.2621, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.6601, kappa: 0.5738, kb_relative_information_score: 0.5974, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6717, predictive_accuracy: 0.6726, prior_entropy: 2.2621, 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: 0.501, kappa: 0.0022, kb_relative_information_score: 0.137, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2621, 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: 0.7869, f_measure: 0.6622, kappa: 0.574, kb_relative_information_score: 0.5983, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6678, predictive_accuracy: 0.6712, prior_entropy: 2.2621, 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: 0.7858, f_measure: 0.6606, kappa: 0.5721, kb_relative_information_score: 0.5971, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6665, predictive_accuracy: 0.6698, prior_entropy: 2.2621, 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: 0.7817, f_measure: 0.6542, kappa: 0.5638, kb_relative_information_score: 0.5905, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6578, predictive_accuracy: 0.663, prior_entropy: 2.2621, 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: 0.5, kb_relative_information_score: 0.1352, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2621, 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: 0.5508, kappa: 0.1065, kb_relative_information_score: 0.2143, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3628, prior_entropy: 2.2621, recall: 0.3628, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.2758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.6531, kappa: 0.5608, kb_relative_information_score: 0.5877, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6564, predictive_accuracy: 0.6603, prior_entropy: 2.2621, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.6676, kappa: 0.5769, kb_relative_information_score: 0.6047, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6693, predictive_accuracy: 0.6712, prior_entropy: 2.2621, 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: 0.5662, kappa: 0.1386, kb_relative_information_score: 0.2384, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3845, prior_entropy: 2.2621, recall: 0.3845, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, kappa: 0.0582, kb_relative_information_score: 0.178, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3302, prior_entropy: 2.2621, recall: 0.3302, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6547, kappa: 0.563, kb_relative_information_score: 0.5907, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6564, predictive_accuracy: 0.6617, prior_entropy: 2.2621, 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,

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