OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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57199 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5969, kappa: 0.1946, kb_relative_information_score: 0.1946, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6346, root_relative_squared_error: 1.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.5731, kappa: 0.1462, kb_relative_information_score: 0.1462, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5731, predictive_accuracy: 0.5731, prior_entropy: 1, recall: 0.5731, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6534, root_relative_squared_error: 1.3068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5372, kappa: 0.0777, kb_relative_information_score: 0.0777, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5394, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6791, root_relative_squared_error: 1.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5615, kappa: 0.1231, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5615, predictive_accuracy: 0.5615, prior_entropy: 1, recall: 0.5615, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6622, root_relative_squared_error: 1.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5408, kappa: 0.0908, kb_relative_information_score: 0.0908, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5473, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6743, root_relative_squared_error: 1.3485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.5611, kappa: 0.1223, kb_relative_information_score: 0.1223, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5612, predictive_accuracy: 0.5612, prior_entropy: 1, recall: 0.5612, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6625, root_relative_squared_error: 1.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.5623, kappa: 0.1423, kb_relative_information_score: 0.1423, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5774, predictive_accuracy: 0.5712, prior_entropy: 1, recall: 0.5712, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6549, root_relative_squared_error: 1.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5861, kappa: 0.1723, kb_relative_information_score: 0.1723, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5862, predictive_accuracy: 0.5862, prior_entropy: 1, recall: 0.5862, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6433, root_relative_squared_error: 1.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5927, kappa: 0.1854, kb_relative_information_score: 0.1854, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5927, predictive_accuracy: 0.5927, prior_entropy: 1, recall: 0.5927, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5361, kappa: 0.0754, kb_relative_information_score: 0.0754, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5382, predictive_accuracy: 0.5377, prior_entropy: 1, recall: 0.5377, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6799, root_relative_squared_error: 1.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6012, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6012, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.4402, kappa: 0.0169, kb_relative_information_score: 0.0169, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5165, predictive_accuracy: 0.5085, prior_entropy: 1, recall: 0.5085, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5827, kappa: 0.1746, kb_relative_information_score: 0.1746, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5913, predictive_accuracy: 0.5873, prior_entropy: 1, recall: 0.5873, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6424, root_relative_squared_error: 1.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5892, kappa: 0.1785, kb_relative_information_score: 0.1785, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5892, predictive_accuracy: 0.5892, prior_entropy: 1, recall: 0.5892, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.2818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.5673, kappa: 0.1346, kb_relative_information_score: 0.1346, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5673, predictive_accuracy: 0.5673, prior_entropy: 1, recall: 0.5673, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6578, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5331, kappa: 0.0692, kb_relative_information_score: 0.0692, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5351, predictive_accuracy: 0.5346, prior_entropy: 1, recall: 0.5346, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6822, root_relative_squared_error: 1.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.565, f_measure: 0.5549, kappa: 0.13, kb_relative_information_score: 0.13, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5715, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 0.1331, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6584, root_relative_squared_error: 1.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5719, kappa: 0.1438, kb_relative_information_score: 0.1438, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5719, predictive_accuracy: 0.5719, prior_entropy: 1, recall: 0.5719, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6543, root_relative_squared_error: 1.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5658, kappa: 0.1315, kb_relative_information_score: 0.1315, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5658, predictive_accuracy: 0.5658, prior_entropy: 1, recall: 0.5658, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.659, root_relative_squared_error: 1.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.6107, kappa: 0.2262, kb_relative_information_score: 0.2262, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6159, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.58, kappa: 0.16, kb_relative_information_score: 0.16, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 0.1446, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.654, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5465, kappa: 0.1008, kb_relative_information_score: 0.1008, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5522, predictive_accuracy: 0.5504, prior_entropy: 1, recall: 0.5504, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6705, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 0.1485, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5742, predictive_accuracy: 0.5742, prior_entropy: 1, recall: 0.5742, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6525, root_relative_squared_error: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5997, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6026, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5735, kappa: 0.1469, kb_relative_information_score: 0.1469, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5735, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6017, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6021, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5376, kappa: 0.0785, kb_relative_information_score: 0.0785, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5398, predictive_accuracy: 0.5392, prior_entropy: 1, recall: 0.5392, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6788, root_relative_squared_error: 1.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5347, kappa: 0.0723, kb_relative_information_score: 0.0723, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5366, predictive_accuracy: 0.5362, prior_entropy: 1, recall: 0.5362, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.5368, kappa: 0.0931, kb_relative_information_score: 0.0931, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5508, predictive_accuracy: 0.5465, prior_entropy: 1, recall: 0.5465, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6734, root_relative_squared_error: 1.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5915, kappa: 0.1831, kb_relative_information_score: 0.1831, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5915, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6391, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5835, kappa: 0.1669, kb_relative_information_score: 0.1669, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5835, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5392, f_measure: 0.5374, kappa: 0.0785, kb_relative_information_score: 0.0785, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5398, predictive_accuracy: 0.5392, prior_entropy: 1, recall: 0.5392, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6788, root_relative_squared_error: 1.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5831, kappa: 0.1662, kb_relative_information_score: 0.1662, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5831, predictive_accuracy: 0.5831, prior_entropy: 1, recall: 0.5831, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6457, root_relative_squared_error: 1.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5669, kappa: 0.1338, kb_relative_information_score: 0.1338, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5669, predictive_accuracy: 0.5669, prior_entropy: 1, recall: 0.5669, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 0.1485, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5742, predictive_accuracy: 0.5742, prior_entropy: 1, recall: 0.5742, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6525, root_relative_squared_error: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6005, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6034, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.5343, kappa: 0.0715, kb_relative_information_score: 0.0715, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5362, predictive_accuracy: 0.5358, prior_entropy: 1, recall: 0.5358, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.5384, kappa: 0.0808, kb_relative_information_score: 0.0808, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5411, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6779, root_relative_squared_error: 1.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5912, kappa: 0.1877, kb_relative_information_score: 0.1877, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5963, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5835, kappa: 0.1669, kb_relative_information_score: 0.1669, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5835, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5773, f_measure: 0.5773, kappa: 0.1546, kb_relative_information_score: 0.1546, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5773, predictive_accuracy: 0.5773, prior_entropy: 1, recall: 0.5773, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5696, kappa: 0.1392, kb_relative_information_score: 0.1392, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5696, predictive_accuracy: 0.5696, prior_entropy: 1, recall: 0.5696, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.656, root_relative_squared_error: 1.3121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 0.1869, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 0.1446, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.654, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 0.1446, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.654, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5623, kappa: 0.1246, kb_relative_information_score: 0.1246, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5623, predictive_accuracy: 0.5623, prior_entropy: 1, recall: 0.5623, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5923, kappa: 0.1846, kb_relative_information_score: 0.1846, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5923, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.5673, kappa: 0.1346, kb_relative_information_score: 0.1346, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5673, predictive_accuracy: 0.5673, prior_entropy: 1, recall: 0.5673, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6578, root_relative_squared_error: 1.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5686, kappa: 0.1515, kb_relative_information_score: 0.1515, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5812, predictive_accuracy: 0.5758, prior_entropy: 1, recall: 0.5758, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 0.1946, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6346, root_relative_squared_error: 1.2692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6011, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6012, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 0.1869, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.57, kappa: 0.14, kb_relative_information_score: 0.14, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.57, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4129, kappa: 0.0015, kb_relative_information_score: 0.0015, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5019, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7066, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6004, kappa: 0.2008, kb_relative_information_score: 0.2008, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6004, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5696, kappa: 0.1523, kb_relative_information_score: 0.1523, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5811, predictive_accuracy: 0.5762, prior_entropy: 1, recall: 0.5762, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.651, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6034, kappa: 0.2069, kb_relative_information_score: 0.2069, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6297, root_relative_squared_error: 1.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5759, kappa: 0.1646, kb_relative_information_score: 0.1646, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5876, predictive_accuracy: 0.5823, prior_entropy: 1, recall: 0.5823, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.3729, kappa: 0.0292, kb_relative_information_score: 0.0292, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6522, predictive_accuracy: 0.5146, prior_entropy: 1, recall: 0.5146, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6967, root_relative_squared_error: 1.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5923, kappa: 0.1846, kb_relative_information_score: 0.1846, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5923, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5912, kappa: 0.1823, kb_relative_information_score: 0.1823, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5912, predictive_accuracy: 0.5912, prior_entropy: 1, recall: 0.5912, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6394, root_relative_squared_error: 1.2788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.5542, kappa: 0.1085, kb_relative_information_score: 0.1085, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5542, predictive_accuracy: 0.5542, prior_entropy: 1, recall: 0.5542, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6677, root_relative_squared_error: 1.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5823, kappa: 0.1646, kb_relative_information_score: 0.1646, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5823, predictive_accuracy: 0.5823, prior_entropy: 1, recall: 0.5823, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.408, kappa: 0.0008, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.501, predictive_accuracy: 0.5004, prior_entropy: 1, recall: 0.5004, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.6007, kappa: 0.2015, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6318, root_relative_squared_error: 1.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.5572, kappa: 0.1146, kb_relative_information_score: 0.1146, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5573, predictive_accuracy: 0.5573, prior_entropy: 1, recall: 0.5573, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6654, root_relative_squared_error: 1.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.5746, kappa: 0.1492, kb_relative_information_score: 0.1492, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5746, predictive_accuracy: 0.5746, prior_entropy: 1, recall: 0.5746, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6522, root_relative_squared_error: 1.3044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.539, kappa: 0.0823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5419, predictive_accuracy: 0.5412, prior_entropy: 1, recall: 0.5412, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6774, root_relative_squared_error: 1.3548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5998, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6002, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 0.1869, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5681, kappa: 0.1362, kb_relative_information_score: 0.1362, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5681, predictive_accuracy: 0.5681, prior_entropy: 1, recall: 0.5681, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6012, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6012, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5615, kappa: 0.1231, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5615, predictive_accuracy: 0.5615, prior_entropy: 1, recall: 0.5615, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6622, root_relative_squared_error: 1.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5997, kappa: 0.2023, kb_relative_information_score: 0.2023, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6026, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5801, kappa: 0.1654, kb_relative_information_score: 0.1654, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5848, predictive_accuracy: 0.5827, prior_entropy: 1, recall: 0.5827, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.646, root_relative_squared_error: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5408, kappa: 0.1, kb_relative_information_score: 0.1, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5544, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5838, kappa: 0.1738, kb_relative_information_score: 0.1738, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5896, predictive_accuracy: 0.5869, prior_entropy: 1, recall: 0.5869, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5917, kappa: 0.1877, kb_relative_information_score: 0.1877, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5959, predictive_accuracy: 0.5938, prior_entropy: 1, recall: 0.5938, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6373, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5394, kappa: 0.0831, kb_relative_information_score: 0.0831, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5423, predictive_accuracy: 0.5415, prior_entropy: 1, recall: 0.5415, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6771, root_relative_squared_error: 1.3542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6118, kappa: 0.2238, kb_relative_information_score: 0.2238, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.612, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.623, root_relative_squared_error: 1.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5992, kappa: 0.1985, kb_relative_information_score: 0.1985, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5993, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5754, f_measure: 0.5753, kappa: 0.1508, kb_relative_information_score: 0.1508, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5754, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.5957, kappa: 0.1931, kb_relative_information_score: 0.1931, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5974, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.5908, kappa: 0.1815, kb_relative_information_score: 0.1815, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5908, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5968, kappa: 0.1938, kb_relative_information_score: 0.1938, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.597, predictive_accuracy: 0.5969, prior_entropy: 1, recall: 0.5969, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6349, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.4188, kappa: 0.0062, kb_relative_information_score: 0.0062, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5073, predictive_accuracy: 0.5031, prior_entropy: 1, recall: 0.5031, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7049, root_relative_squared_error: 1.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5835, kappa: 0.1669, kb_relative_information_score: 0.1669, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5835, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5935, kappa: 0.1869, kb_relative_information_score: 0.1869, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5935, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6376, root_relative_squared_error: 1.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.5715, kappa: 0.1431, kb_relative_information_score: 0.1431, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5716, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6546, root_relative_squared_error: 1.3091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.5886, kappa: 0.1838, kb_relative_information_score: 0.1838, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.595, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6388, root_relative_squared_error: 1.2776,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs