OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -23.3033, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.6016, kappa: 0.0996, kb_relative_information_score: 45.4423, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6469, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.5324, kappa: -0.0118, kb_relative_information_score: 10.3991, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4907, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 67.493, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.5756, kappa: 0.0601, kb_relative_information_score: 34.0621, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6492, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 8.2179, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.64, kappa: 0.1711, kb_relative_information_score: 25.8164, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6624, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -37.367, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0281, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -5.2737, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.6568, kappa: 0.2053, kb_relative_information_score: 33.2678, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6649, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.2108, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 7.148, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 5.2397, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 6.5979, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.5762, kappa: 0.0354, kb_relative_information_score: 58.7853, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5836, predictive_accuracy: 0.6488, prior_entropy: 0.9188, recall: 0.6488, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 16.1862, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.5421, kappa: 0.0118, kb_relative_information_score: 29.0234, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6458, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5635, kappa: 0.0374, kb_relative_information_score: 64.8373, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6228, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5402, kappa: -0.0043, kb_relative_information_score: -71.9365, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5536, predictive_accuracy: 0.5313, prior_entropy: 0.9188, recall: 0.5313, relative_absolute_error: 1.0543, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6847, root_relative_squared_error: 1.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -6.1945, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.3033, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6355, kappa: 0.1591, kb_relative_information_score: 46.122, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6504, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 15.6403, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, kb_relative_information_score: 11.4235, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 3.4338, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 3.9652, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -13.6066, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 2.7536, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -9.1338, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -4.6646, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 31.8766, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -74.418, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.059, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.478, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -42.4763, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0321, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6775, kappa: 0.2647, kb_relative_information_score: 119.9342, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6742, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 2.6098, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -36.3219, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -6.6823, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.602, kappa: 0.1029, kb_relative_information_score: 35.6317, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6562, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.631, kappa: 0.149, kb_relative_information_score: 28.9334, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6455, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -36.3631, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.5595, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.6219, kappa: 0.1274, kb_relative_information_score: 47.7548, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6154, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 22.2543, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.2942, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -1.2827, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 6.5704, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 30.8745, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 11.7051, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.188, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5993, kappa: 0.0975, kb_relative_information_score: 7.4175, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6525, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 75.5845, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -4.5157, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 1.2058, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -49.7127, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5703, kappa: 0.005, kb_relative_information_score: -15.9914, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.558, predictive_accuracy: 0.6012, prior_entropy: 0.9188, recall: 0.6012, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.6156, kappa: 0.1167, kb_relative_information_score: 43.8204, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6317, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6491, kappa: 0.1873, kb_relative_information_score: 41.6516, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6508, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 14.5904, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.6146, kappa: 0.1185, kb_relative_information_score: 24.9418, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.609, predictive_accuracy: 0.6235, prior_entropy: 0.9188, recall: 0.6235, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 48.3548, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.6538, kappa: 0.2014, kb_relative_information_score: 108.344, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6498, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.6067, kappa: 0.1, kb_relative_information_score: 74.7301, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6007, predictive_accuracy: 0.6161, prior_entropy: 0.9188, recall: 0.6161, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.1551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -13.1836, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.5591, kappa: 0.0318, kb_relative_information_score: 33.2194, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6236, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -209.7749, mean_absolute_error: 0.5354, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.2041, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5446, root_relative_squared_error: 1.1553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.1479, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 5.0492, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -28.2405, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.3123, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -9.6891, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.6074, kappa: 0.0934, kb_relative_information_score: -40.044, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6099, predictive_accuracy: 0.6533, prior_entropy: 0.9188, recall: 0.6533, relative_absolute_error: 1.0284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -297.492, mean_absolute_error: 0.5926, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.3328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6479, root_relative_squared_error: 1.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 16.1639, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6382, kappa: 0.1624, kb_relative_information_score: 25.3959, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6424, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 8.8403, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -19.189, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, kb_relative_information_score: 23.3788, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.6125, kappa: 0.124, kb_relative_information_score: 31.2638, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6107, predictive_accuracy: 0.6146, prior_entropy: 0.9188, recall: 0.6146, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.1548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -24.854, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.5219, kappa: 0.0444, kb_relative_information_score: -107.3454, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5792, predictive_accuracy: 0.5089, prior_entropy: 0.9188, recall: 0.5089, relative_absolute_error: 1.1045, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7008, root_relative_squared_error: 1.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -30.147, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -1.7883, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -6.0697, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 10.7101, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6294, kappa: 0.1418, kb_relative_information_score: 26.2014, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6307, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.0071, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 22.4488, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4847, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 11.2645, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 10.1091, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -23.0448, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.8356, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 4.248, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,

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