Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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19084 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 25.3539, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 17.7771, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 11.2249, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.5207, kappa: 0.2552, kb_relative_information_score: 264.1883, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5207, predictive_accuracy: 0.5282, prior_entropy: 1.5392, recall: 0.5282, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 24.6527, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.5239, kappa: 0.2611, kb_relative_information_score: 303.0322, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5294, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5211, kappa: 0.2575, kb_relative_information_score: 284.3204, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5327, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 10.7832, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.4242, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 5.5261, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 14.5849, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 8.4396, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.5178, kappa: 0.2515, kb_relative_information_score: 163.4607, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5308, predictive_accuracy: 0.5343, prior_entropy: 1.5392, recall: 0.5343, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, kappa: 0.0722, kb_relative_information_score: 98.2739, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4589, prior_entropy: 1.5392, recall: 0.4589, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 7.2969, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.52, kappa: 0.2543, kb_relative_information_score: 277.4887, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5222, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: -68.3732, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.2261, prior_entropy: 1.5392, recall: 0.2261, relative_absolute_error: 1.1976, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.7183, root_relative_squared_error: 1.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: 6.0143, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.4555, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 11.2162, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.5161, kappa: 0.251, kb_relative_information_score: 308.8672, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5145, predictive_accuracy: 0.5214, prior_entropy: 1.5392, recall: 0.5214, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0005, kb_relative_information_score: 181.3292, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4026, prior_entropy: 1.5392, recall: 0.4026, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6311, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 33.0129, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4678, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.5335, kappa: 0.2766, kb_relative_information_score: 307.6938, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5326, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 11.6591, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 3.1378, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 2.7822, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.5353, kappa: 0.2798, kb_relative_information_score: 244.1695, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5397, predictive_accuracy: 0.5472, prior_entropy: 1.5392, recall: 0.5472, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.5982, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 9.2778, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.5293, kappa: 0.2706, kb_relative_information_score: 218.6422, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5278, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 39.1188, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: 12.3422, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0005, kb_relative_information_score: 135.3866, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3714, prior_entropy: 1.5392, recall: 0.3714, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6474, root_relative_squared_error: 1.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 16.9348, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0005, kb_relative_information_score: 12.7572, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4026, prior_entropy: 1.5392, recall: 0.4026, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.44, kappa: 0.1337, kb_relative_information_score: 91.8765, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4722, predictive_accuracy: 0.4711, prior_entropy: 1.5392, recall: 0.4711, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 4.9157, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 22.6796, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.4333, kappa: 0.1509, kb_relative_information_score: 132.3175, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5089, predictive_accuracy: 0.4922, prior_entropy: 1.5392, recall: 0.4922, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.4544, kappa: 0.1626, kb_relative_information_score: 256.7108, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4736, predictive_accuracy: 0.4555, prior_entropy: 1.5392, recall: 0.4555, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5004, kappa: 0.2242, kb_relative_information_score: 211.5762, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5038, predictive_accuracy: 0.5132, prior_entropy: 1.5392, recall: 0.5132, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.4255, kappa: 0.1343, kb_relative_information_score: 117.3921, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5173, predictive_accuracy: 0.4827, prior_entropy: 1.5392, recall: 0.4827, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.5334, kappa: 0.277, kb_relative_information_score: 328.3644, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5317, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5338, kappa: 0.277, kb_relative_information_score: 207.8732, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5428, predictive_accuracy: 0.5479, prior_entropy: 1.5392, recall: 0.5479, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 9.0759, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.5144, kappa: 0.2549, kb_relative_information_score: 321.4546, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5157, predictive_accuracy: 0.5207, prior_entropy: 1.5392, recall: 0.5207, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.546, kappa: 0.2957, kb_relative_information_score: 273.8048, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5454, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.5287, kappa: 0.27, kb_relative_information_score: 308.6639, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5277, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 6.8301, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 14.098, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 4.6143, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.3971, kappa: 0.0688, kb_relative_information_score: 111.4774, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4108, predictive_accuracy: 0.4311, prior_entropy: 1.5392, recall: 0.4311, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 5.6438, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.5365, kappa: 0.2814, kb_relative_information_score: 318.1039, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5377, predictive_accuracy: 0.5465, prior_entropy: 1.5392, recall: 0.5465, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 68.4812, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 25.1028, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 29.0028, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5409, kappa: 0.2899, kb_relative_information_score: 223.7281, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5515, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5281, kappa: 0.2705, kb_relative_information_score: 272.2858, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5348, predictive_accuracy: 0.5424, prior_entropy: 1.5392, recall: 0.5424, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.5226, kappa: 0.2605, kb_relative_information_score: 264.9722, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5286, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5369, kappa: 0.2805, kb_relative_information_score: 274.9233, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5388, predictive_accuracy: 0.5458, prior_entropy: 1.5392, recall: 0.5458, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.5145, kappa: 0.2467, kb_relative_information_score: 290.0798, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5126, predictive_accuracy: 0.5214, prior_entropy: 1.5392, recall: 0.5214, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 7.6625, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, kappa: 0.0369, kb_relative_information_score: 68.1242, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4202, prior_entropy: 1.5392, recall: 0.4202, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.5109, kappa: 0.2438, kb_relative_information_score: 206.0582, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5308, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.5309, kappa: 0.2698, kb_relative_information_score: 230.1993, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5375, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 14.4882, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 30.5997, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 34.5558, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 13.5135, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.5281, kappa: 0.2675, kb_relative_information_score: 285.3265, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5272, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 77.2786, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 74.5562, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.5091, kappa: 0.2387, kb_relative_information_score: 326.2698, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5101, predictive_accuracy: 0.5146, prior_entropy: 1.5392, recall: 0.5146, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 21.1797, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 5.0241, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 12.0149, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.5212, kappa: 0.2592, kb_relative_information_score: 181.6163, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5354, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.44, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 6.7086, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, kb_relative_information_score: 31.1832, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 7.5715, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.7264, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.5191, kappa: 0.262, kb_relative_information_score: 209.9384, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5226, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.5054, kappa: 0.2321, kb_relative_information_score: 334.1654, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5039, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 24.7551, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.549, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.5315, kappa: 0.2727, kb_relative_information_score: 228.1591, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5322, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0005, kb_relative_information_score: 181.3292, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4026, prior_entropy: 1.5392, recall: 0.4026, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6311, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.5385, kappa: 0.2841, kb_relative_information_score: 291.5413, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5526, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.8028, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 13.9069, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 25.9365, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 15.4109, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 98.8962, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.5196, kappa: 0.261, kb_relative_information_score: 196.9281, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5404, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 12.2447, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, kappa: -0.0004, kb_relative_information_score: 72.6398, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.425, prior_entropy: 1.5392, recall: 0.425, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9935,

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

OpenML bootcamp

From your own software

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

OpenML APIs