OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 56704 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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56704 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
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: 0.5727, f_measure: 0.5727, kappa: 0.1454, kb_relative_information_score: 0.1454, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5727, predictive_accuracy: 0.5727, prior_entropy: 1, recall: 0.5727, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6537, root_relative_squared_error: 1.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6035, 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: 0.6031, 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: 0.6004, 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: 0.5996, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 0.1992, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5996, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6328, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6016, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 0.1962, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, 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: 0.6019, 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: 0.6012, 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: 0.6012, 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: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5655, kappa: 0.1323, kb_relative_information_score: 0.1323, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5662, prior_entropy: 1, recall: 0.5662, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6587, root_relative_squared_error: 1.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5363, kappa: 0.1015, kb_relative_information_score: 0.1015, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.558, predictive_accuracy: 0.5508, prior_entropy: 1, recall: 0.5508, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5309, kappa: 0.0854, kb_relative_information_score: 0.0854, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5475, predictive_accuracy: 0.5427, prior_entropy: 1, recall: 0.5427, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5759, 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: 0.5764, 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: 0.5265, f_measure: 0.493, kappa: 0.0531, kb_relative_information_score: 0.0531, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5361, predictive_accuracy: 0.5265, prior_entropy: 1, recall: 0.5265, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6881, root_relative_squared_error: 1.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5422, 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: 0.5467, 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: 0.515, f_measure: 0.3737, kappa: 0.03, kb_relative_information_score: 0.03, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6538, predictive_accuracy: 0.515, prior_entropy: 1, recall: 0.515, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.5478, kappa: 0.1177, kb_relative_information_score: 0.1177, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5652, predictive_accuracy: 0.5588, prior_entropy: 1, recall: 0.5588, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.5548, kappa: 0.1131, kb_relative_information_score: 0.1131, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5574, predictive_accuracy: 0.5565, prior_entropy: 1, recall: 0.5565, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6659, root_relative_squared_error: 1.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.3747, kappa: 0.0315, kb_relative_information_score: 0.0315, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6617, predictive_accuracy: 0.5158, prior_entropy: 1, recall: 0.5158, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3917,
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: 0.5, 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: 0.5, 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: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
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: 0.5727, f_measure: 0.5727, kappa: 0.1454, kb_relative_information_score: 0.1454, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5727, predictive_accuracy: 0.5727, prior_entropy: 1, recall: 0.5727, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6537, root_relative_squared_error: 1.3074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6035, 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: 0.6031, 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: 0.6004, 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: 0.5996, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 0.1992, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5996, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6328, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6016, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5981, kappa: 0.1962, kb_relative_information_score: 0.1962, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5981, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.634, root_relative_squared_error: 1.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, 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: 0.6019, 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: 0.6012, 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: 0.6012, 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: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
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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: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5708, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5838, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,

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