Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 142972 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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142972 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, kb_relative_information_score: 27.4921, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -15.508, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kb_relative_information_score: 2.3316, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7462, kappa: 0.4169, kb_relative_information_score: 162.0158, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.757, predictive_accuracy: 0.7621, prior_entropy: 0.9226, recall: 0.7621, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -26.5325, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.571, kappa: 0.0666, kb_relative_information_score: 132.5763, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6894, predictive_accuracy: 0.6758, prior_entropy: 0.9226, recall: 0.6758, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, kb_relative_information_score: 12.8201, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 12.3415, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7584, kappa: 0.4456, kb_relative_information_score: 225.948, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8033, predictive_accuracy: 0.7839, prior_entropy: 0.9226, recall: 0.7839, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -118.3774, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0607, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7612, kappa: 0.4594, kb_relative_information_score: 300.8375, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7598, predictive_accuracy: 0.7649, prior_entropy: 0.9226, recall: 0.7649, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.3287, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -21.952, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -22.7522, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, kb_relative_information_score: 41.2045, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kb_relative_information_score: -11.6666, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, kb_relative_information_score: 3.9766, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8259, kappa: 0.6039, kb_relative_information_score: 439.6067, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8279, predictive_accuracy: 0.8303, prior_entropy: 0.9226, recall: 0.8303, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -1.0161, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, kb_relative_information_score: 2.098, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -36.2543, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4734, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -132.6579, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.069, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -26.7935, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 19.584, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7894, kappa: 0.5171, kb_relative_information_score: 367.3687, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7988, predictive_accuracy: 0.8, prior_entropy: 0.9226, recall: 0.8, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 11.7917, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -48.9637, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -0.4286, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, kb_relative_information_score: 32.6672, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8261, kappa: 0.6068, kb_relative_information_score: 489.8419, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8258, predictive_accuracy: 0.8284, prior_entropy: 0.9226, recall: 0.8284, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 16.5352, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, kb_relative_information_score: 9.0533, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -3.3966, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.787, kappa: 0.5163, kb_relative_information_score: 405.5232, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7868, predictive_accuracy: 0.7915, prior_entropy: 0.9226, recall: 0.7915, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 25.5517, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -7.0823, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: 29.7422, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -17.1231, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, kb_relative_information_score: -111.3998, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0567, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, kb_relative_information_score: 16.3077, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, kb_relative_information_score: 120.2457, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7442, kappa: 0.4136, kb_relative_information_score: 257.8642, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7486, predictive_accuracy: 0.7564, prior_entropy: 0.9226, recall: 0.7564, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: -10.7275, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 26.117, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, kb_relative_information_score: 65.7118, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7646, kappa: 0.4608, kb_relative_information_score: 187.8811, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7699, predictive_accuracy: 0.7754, prior_entropy: 0.9226, recall: 0.7754, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8029, kappa: 0.5507, kb_relative_information_score: 407.5919, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8049, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, kb_relative_information_score: 22.7874, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7901, kappa: 0.5248, kb_relative_information_score: 413.1037, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7893, predictive_accuracy: 0.7934, prior_entropy: 0.9226, recall: 0.7934, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8559, kappa: 0.6757, kb_relative_information_score: 600.0228, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8555, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, kb_relative_information_score: 105.4827, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: -28.5225, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8344, kappa: 0.6214, kb_relative_information_score: 396.0403, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8416, predictive_accuracy: 0.8408, prior_entropy: 0.9226, recall: 0.8408, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.7579, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, kb_relative_information_score: -6.5319, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7017, kappa: 0.3187, kb_relative_information_score: 179.902, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7516, predictive_accuracy: 0.7403, prior_entropy: 0.9226, recall: 0.7403, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 5.6519, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8242, kappa: 0.6001, kb_relative_information_score: 455.542, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8258, predictive_accuracy: 0.8284, prior_entropy: 0.9226, recall: 0.8284, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, kb_relative_information_score: 22.8351, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 1.5318, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, kb_relative_information_score: 1.4671, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 15.9807, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, kb_relative_information_score: -29.6212, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 2.5479, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 5.8498, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, kb_relative_information_score: 33.455, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6784, kappa: 0.2727, kb_relative_information_score: 179.0602, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7595, predictive_accuracy: 0.7308, prior_entropy: 0.9226, recall: 0.7308, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 9.7686, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 11.1898, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -3.3493, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, kb_relative_information_score: 44.3263, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 21.0243, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7531, kappa: 0.4356, kb_relative_information_score: 235.3813, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7547, predictive_accuracy: 0.7621, prior_entropy: 0.9226, recall: 0.7621, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8204, kappa: 0.5928, kb_relative_information_score: 432.4744, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8206, predictive_accuracy: 0.8237, prior_entropy: 0.9226, recall: 0.8237, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 20.3003, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -19.2612, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8365, kappa: 0.6299, kb_relative_information_score: 496.6498, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8365, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 593.5612, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9226, recall: 0.8417, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 4.1075, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, kb_relative_information_score: 96.1744, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, kb_relative_information_score: 22.2848, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.6216, kappa: 0.1648, kb_relative_information_score: 174.9204, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7656, predictive_accuracy: 0.7043, prior_entropy: 0.9226, recall: 0.7043, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, kb_relative_information_score: 2.7537, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 123.2843, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, kb_relative_information_score: 4.7202, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, kb_relative_information_score: -0.0699, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.2735, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.24, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 3.9312, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7646, kappa: 0.4618, kb_relative_information_score: 209.9383, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7672, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: -118.2423, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7718, kappa: 0.4848, kb_relative_information_score: 316.4116, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7706, predictive_accuracy: 0.7744, prior_entropy: 0.9226, recall: 0.7744, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 12.7531, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 8.4273, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 119.0023, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.797, kappa: 0.5336, kb_relative_information_score: 315.9404, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8164, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -12.2351, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 7.2282, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 10.7827, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8552, kappa: 0.6716, kb_relative_information_score: 583.4485, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8562, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6725,

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