OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 119.7665, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.509, root_relative_squared_error: 1.018, scimark_benchmark: 1862.7806, usercpu_time_millis: 66.338, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 65.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 82.6035, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9898, scimark_benchmark: 1909.6655, usercpu_time_millis: 50.718, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 50.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5387, kappa: 0.0776, kb_relative_information_score: 41.5527, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5388, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1861.5647, usercpu_time_millis: 43.443, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 42.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.5254, kappa: 0.0561, kb_relative_information_score: 12.2708, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5287, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1858.3038, usercpu_time_millis: 21.69, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 21.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 83.3123, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9909, scimark_benchmark: 1747.0922, usercpu_time_millis: 413.912, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 412.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 88.8189, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5786, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1745.7661, usercpu_time_millis: 282.049, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 280.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5518, kappa: 0.104, kb_relative_information_score: 53.3978, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5521, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1716.3301, usercpu_time_millis: 194.398, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 193.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5503, kappa: 0.1007, kb_relative_information_score: 57.5356, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5504, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1750.0316, usercpu_time_millis: 112.864, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 112.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5362, kappa: 0.0743, kb_relative_information_score: 25.6085, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5374, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1749.0608, usercpu_time_millis: 73.016, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 72.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.542, kappa: 0.0842, kb_relative_information_score: 46.3405, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5421, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1755.0172, usercpu_time_millis: 66.932, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 66.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5213, kappa: 0.0429, kb_relative_information_score: 30.4742, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1754.6748, usercpu_time_millis: 49.179, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 48.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5297, kappa: 0.0594, kb_relative_information_score: 11.0748, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5297, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1747.0912, usercpu_time_millis: 8.973, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 8.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4792, kb_relative_information_score: -0.0072, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, 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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1744.9079, usercpu_time_millis: 1.587, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.5267, kappa: 0.0561, kb_relative_information_score: 29.2655, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5284, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1751.1809, usercpu_time_millis: 4.094, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 3.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.5822, kappa: 0.165, kb_relative_information_score: 92.0562, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5827, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1868.2531, usercpu_time_millis: 513.732, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 512.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 75.3014, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1915.5065, usercpu_time_millis: 396.999, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 396.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 78.6433, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1859.1004, usercpu_time_millis: 315.575, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 314.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5492, kappa: 0.1007, kb_relative_information_score: 47.2952, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5508, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0047, scimark_benchmark: 1856.7467, usercpu_time_millis: 246.548, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 246.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5491, kappa: 0.099, kb_relative_information_score: 40.913, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5497, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1862.5409, usercpu_time_millis: 244.825, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 244.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5422, kappa: 0.0858, kb_relative_information_score: 37.9033, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5432, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1741.1093, usercpu_time_millis: 232.2, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 231.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.5887, kappa: 0.1782, kb_relative_information_score: 99.5909, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5894, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1872.4216, usercpu_time_millis: 217.007, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 216.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, f_measure: 0.5494, kappa: 0.099, kb_relative_information_score: 53.3607, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1867.725, usercpu_time_millis: 209.978, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 209.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 78.0377, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1747.7913, usercpu_time_millis: 190.051, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 188.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.533, kappa: 0.0693, kb_relative_information_score: 26.0095, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5352, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1773.5965, usercpu_time_millis: 200.965, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 200.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 94.1931, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1874.1301, usercpu_time_millis: 146.399, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 145.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 86.5663, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 1870.3532, usercpu_time_millis: 134.472, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 133.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 99.438, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0053, scimark_benchmark: 1871.0037, usercpu_time_millis: 94.036, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 93.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.5425, kappa: 0.0875, kb_relative_information_score: 26.607, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5442, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1872.8797, usercpu_time_millis: 81.326, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 80.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.5171, kappa: 0.0396, kb_relative_information_score: 13.7179, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5202, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1844.2382, usercpu_time_millis: 87.015, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 86.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.526, kappa: 0.0561, kb_relative_information_score: 16.3698, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5286, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1747.2953, usercpu_time_millis: 72.48, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 71.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 65.0952, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1842.0234, usercpu_time_millis: 88.192, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 87.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5244, kappa: 0.0545, kb_relative_information_score: 15.6965, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5279, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1864.4376, usercpu_time_millis: 72.005, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 71.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.5871, kappa: 0.1749, kb_relative_information_score: 90.555, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5877, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9884, scimark_benchmark: 1740.8392, usercpu_time_millis: 77.945, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 77.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.5284, kappa: 0.0594, kb_relative_information_score: 32.7751, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.53, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9953, scimark_benchmark: 1852.6084, usercpu_time_millis: 66.147, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 65.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.5213, kappa: 0.0429, kb_relative_information_score: 29.6712, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1859.9421, usercpu_time_millis: 72.025, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 71.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5198, kappa: 0.0396, kb_relative_information_score: 29.2433, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5198, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1748.5784, usercpu_time_millis: 46.048, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 45.369,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5, kb_relative_information_score: 0.0002, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, 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: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5172, kappa: 0.0363, kb_relative_information_score: 4.8966, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5183, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1859.035, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5009, kappa: 0.0066, kb_relative_information_score: 1.7299, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5034, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0035, scimark_benchmark: 1858.0644, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0135, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1851.1818, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 84.5571, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5701, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0055, scimark_benchmark: 1863.3, usercpu_time_millis: 504.388, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 503.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5377, kappa: 0.0759, kb_relative_information_score: 45.3655, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.538, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1721.1329, usercpu_time_millis: 108.485, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 108.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.5177, kappa: 0.0396, kb_relative_information_score: 12.4082, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5202, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1873.0711, usercpu_time_millis: 58.668, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 58.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5212, kappa: 0.0429, kb_relative_information_score: 28.4984, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1862.7806, usercpu_time_millis: 42.72, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 42.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.601, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 71.7398, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1875.0498, usercpu_time_millis: 35.891, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 35.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 64.8761, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9921, scimark_benchmark: 1866.2237, usercpu_time_millis: 34.543, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 33.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5248, kappa: 0.0512, kb_relative_information_score: 5.394, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1848.0409, usercpu_time_millis: 35.589, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 35.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 72.0723, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1865.8326, usercpu_time_millis: 27.866, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 27.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5889, kappa: 0.1782, kb_relative_information_score: 103.8637, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5893, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1859.4881, usercpu_time_millis: 26.581, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 26.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.5088, kappa: 0.0182, kb_relative_information_score: 6.009, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5091, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0013, scimark_benchmark: 1863.4543, usercpu_time_millis: 23.537, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 23.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.5199, kappa: 0.0429, kb_relative_information_score: 9.7022, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5217, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1865.3103, usercpu_time_millis: 17.425, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 17.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.5384, kappa: 0.0776, kb_relative_information_score: 35.8491, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1769.3132, usercpu_time_millis: 18.106, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 17.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.5406, kappa: 0.0825, kb_relative_information_score: 40.1573, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5415, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1862.5409, usercpu_time_millis: 8.219, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 8.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 59.4234, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1734.4776, usercpu_time_millis: 11.65, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 11.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0058, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1871.1584, usercpu_time_millis: 1.961, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.5238, kappa: 0.0479, kb_relative_information_score: 2.8262, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1771.8623, usercpu_time_millis: 6.524, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 6.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.5016, kappa: 0.0099, kb_relative_information_score: 17.0072, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5051, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1773.224, usercpu_time_millis: 4.354, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 4.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5189, kappa: 0.038, kb_relative_information_score: 4.0045, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1754.6378, usercpu_time_millis: 3.001, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 2.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0076, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1769.6866, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0155, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1859.035, usercpu_time_millis: 0.432, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 74.9606, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1858.9715, usercpu_time_millis: 546.608, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 545.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5939, kappa: 0.1881, kb_relative_information_score: 113.6918, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5942, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1850.6054, usercpu_time_millis: 435.916, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 434.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5815, kappa: 0.1634, kb_relative_information_score: 95.1426, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5818, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038, scimark_benchmark: 2146.8684, usercpu_time_millis: 350.37, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 349.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5618, kappa: 0.1238, kb_relative_information_score: 53.4195, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1768.8914, usercpu_time_millis: 181.278, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 180.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 67.6277, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.013, scimark_benchmark: 2150.6368, usercpu_time_millis: 117.067, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 116.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 59.021, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1855.2567, usercpu_time_millis: 73.23, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 72.422,

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