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: 0.5008, 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: 0.5831, f_measure: 0.5778, 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: 0.5875, 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: 0.5646, f_measure: 0.4766, kappa: 0.1292, kb_relative_information_score: 0.1292, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6972, predictive_accuracy: 0.5646, prior_entropy: 1, recall: 0.5646, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.5712, 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: 0.5712, 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: 0.5777, f_measure: 0.5705, kappa: 0.1554, kb_relative_information_score: 0.1554, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5833, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6499, root_relative_squared_error: 1.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.5685, kappa: 0.1369, kb_relative_information_score: 0.1369, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6569, root_relative_squared_error: 1.3138,
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: 0.6058, f_measure: 0.604, kappa: 0.2115, kb_relative_information_score: 0.2115, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6279, root_relative_squared_error: 1.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4265, kappa: 0.0085, kb_relative_information_score: 0.0085, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5092, predictive_accuracy: 0.5042, prior_entropy: 1, recall: 0.5042, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7041, root_relative_squared_error: 1.4082,
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: 0.6019, 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: 0.5888, f_measure: 0.5888, kappa: 0.1777, kb_relative_information_score: 0.1777, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5888, predictive_accuracy: 0.5888, prior_entropy: 1, recall: 0.5888, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6412, root_relative_squared_error: 1.2824,
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: 0.6008, f_measure: 0.6008, 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: 0.5631, f_measure: 0.5631, kappa: 0.1262, kb_relative_information_score: 0.1262, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5631, predictive_accuracy: 0.5631, prior_entropy: 1, recall: 0.5631, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.661, root_relative_squared_error: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5353, kappa: 0.0992, kb_relative_information_score: 0.0992, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5566, predictive_accuracy: 0.5496, prior_entropy: 1, recall: 0.5496, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3422,
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: 0.5, 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: 0.5723, 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: 0.5473, f_measure: 0.5333, kappa: 0.0946, kb_relative_information_score: 0.0946, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5538, predictive_accuracy: 0.5473, prior_entropy: 1, recall: 0.5473, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5904, kappa: 0.1808, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5904, predictive_accuracy: 0.5904, prior_entropy: 1, recall: 0.5904, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.64, root_relative_squared_error: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5368, kappa: 0.0769, kb_relative_information_score: 0.0769, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.539, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3587,
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: 0.5138, f_measure: 0.3713, kappa: 0.0277, kb_relative_information_score: 0.0277, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6487, predictive_accuracy: 0.5138, prior_entropy: 1, recall: 0.5138, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6972, root_relative_squared_error: 1.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5765, kappa: 0.1531, kb_relative_information_score: 0.1531, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5766, predictive_accuracy: 0.5765, prior_entropy: 1, recall: 0.5765, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3015,
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: 0.56, f_measure: 0.56, kappa: 0.12, kb_relative_information_score: 0.12, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.5608, kappa: 0.1215, kb_relative_information_score: 0.1215, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5608, predictive_accuracy: 0.5608, prior_entropy: 1, recall: 0.5608, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.5608, kappa: 0.1215, kb_relative_information_score: 0.1215, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5608, predictive_accuracy: 0.5608, prior_entropy: 1, recall: 0.5608, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6627, root_relative_squared_error: 1.3255,
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: 0.5777, f_measure: 0.5777, kappa: 0.1554, kb_relative_information_score: 0.1554, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5777, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6499, root_relative_squared_error: 1.2997,
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,
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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: 0.5, 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,

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