OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9658, kappa: 0.916, kb_relative_information_score: 29533.7146, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3636, scimark_benchmark: 1840.3774, usercpu_time_millis: 256.556, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 255.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8574, kappa: 0.6537, kb_relative_information_score: 15455.5212, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8591, predictive_accuracy: 0.8563, prior_entropy: 0.863, recall: 0.8563, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7404, scimark_benchmark: 1800.9594, usercpu_time_millis: 205.28, usercpu_time_millis_testing: 4.913, usercpu_time_millis_training: 200.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9358, kappa: 0.841, kb_relative_information_score: 25598.6605, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4861, scimark_benchmark: 1769.8361, usercpu_time_millis: 127.85, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 126.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.894, kappa: 0.7344, kb_relative_information_score: 14480.5305, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.896, predictive_accuracy: 0.8969, prior_entropy: 0.863, recall: 0.8969, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6914, scimark_benchmark: 1844.4224, usercpu_time_millis: 118.664, usercpu_time_millis_testing: 9.216, usercpu_time_millis_training: 109.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8579, kappa: 0.6518, kb_relative_information_score: 15439.4944, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7382, scimark_benchmark: 1731.5618, usercpu_time_millis: 118.429, usercpu_time_millis_testing: 3.038, usercpu_time_millis_training: 115.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.5665, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1710.369, usercpu_time_millis: 61.545, usercpu_time_millis_testing: 8.774, usercpu_time_millis_training: 52.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8685, kappa: 0.6646, kb_relative_information_score: 12358.8813, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8848, predictive_accuracy: 0.8774, prior_entropy: 0.863, recall: 0.8774, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7312, scimark_benchmark: 1808.5398, usercpu_time_millis: 29.82, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 27.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.7176, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1806.1823, usercpu_time_millis: 24.97, usercpu_time_millis_testing: 2.39, usercpu_time_millis_training: 22.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.4899, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1746.1553, usercpu_time_millis: 6.848, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 6.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -27.6794, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1839.9263, usercpu_time_millis: 3.696, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 3.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9506, kappa: 0.8788, kb_relative_information_score: 28211.0187, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9505, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241, scimark_benchmark: 1850.2875, usercpu_time_millis: 4976.014, usercpu_time_millis_testing: 9.504, usercpu_time_millis_training: 4966.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9533, kappa: 0.8854, kb_relative_information_score: 27575.4095, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245, scimark_benchmark: 1855.0232, usercpu_time_millis: 2485.685, usercpu_time_millis_testing: 16.161, usercpu_time_millis_training: 2469.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9344, kappa: 0.8373, kb_relative_information_score: 25706.0701, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851, scimark_benchmark: 1847.7442, usercpu_time_millis: 1967.158, usercpu_time_millis_testing: 8.468, usercpu_time_millis_training: 1958.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28867.2899, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.382, scimark_benchmark: 1853.9121, usercpu_time_millis: 1756.969, usercpu_time_millis_testing: 12.274, usercpu_time_millis_training: 1744.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.935, kappa: 0.8388, kb_relative_information_score: 25731.7374, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.484, scimark_benchmark: 1842.7105, usercpu_time_millis: 1622.075, usercpu_time_millis_testing: 6.097, usercpu_time_millis_training: 1615.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28386.2583, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3982, scimark_benchmark: 1846.3057, usercpu_time_millis: 1574.13, usercpu_time_millis_testing: 10.811, usercpu_time_millis_training: 1563.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9485, kappa: 0.8734, kb_relative_information_score: 26922.1654, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4448, scimark_benchmark: 1858.1494, usercpu_time_millis: 1141.457, usercpu_time_millis_testing: 12.488, usercpu_time_millis_training: 1128.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9298, kappa: 0.8249, kb_relative_information_score: 25081.5185, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9313, prior_entropy: 0.863, recall: 0.9313, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.5006, scimark_benchmark: 1855.0232, usercpu_time_millis: 932.778, usercpu_time_millis_testing: 10.644, usercpu_time_millis_training: 922.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29304.5195, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1846.7651, usercpu_time_millis: 836.029, usercpu_time_millis_testing: 6.453, usercpu_time_millis_training: 829.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9633, kappa: 0.9098, kb_relative_information_score: 29050.7315, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748, scimark_benchmark: 1782.524, usercpu_time_millis: 805.126, usercpu_time_millis_testing: 6.37, usercpu_time_millis_training: 798.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28573.1224, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872, scimark_benchmark: 1849.8294, usercpu_time_millis: 594.677, usercpu_time_millis_testing: 8.697, usercpu_time_millis_training: 585.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28852.0399, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3789, scimark_benchmark: 1841.8034, usercpu_time_millis: 551.355, usercpu_time_millis_testing: 5.046, usercpu_time_millis_training: 546.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9548, kappa: 0.8891, kb_relative_information_score: 27660.2899, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182, scimark_benchmark: 1853.454, usercpu_time_millis: 332.005, usercpu_time_millis_testing: 2.888, usercpu_time_millis_training: 329.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9179, kappa: 0.7938, kb_relative_information_score: 21524.0939, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9205, prior_entropy: 0.863, recall: 0.9205, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5518, scimark_benchmark: 1848.4671, usercpu_time_millis: 251.206, usercpu_time_millis_testing: 6.588, usercpu_time_millis_training: 244.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28435.904, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1853.3841, usercpu_time_millis: 208.408, usercpu_time_millis_testing: 3.828, usercpu_time_millis_training: 204.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9165, kappa: 0.79, kb_relative_information_score: 24159.9373, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.5212, scimark_benchmark: 1851.4743, usercpu_time_millis: 202.475, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 201.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8977, kappa: 0.7472, kb_relative_information_score: 18135.1501, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8974, predictive_accuracy: 0.8987, prior_entropy: 0.863, recall: 0.8987, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.6236, scimark_benchmark: 1847.7335, usercpu_time_millis: 99.551, usercpu_time_millis_testing: 2.848, usercpu_time_millis_training: 96.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.5473, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9849, usercpu_time_millis: 60.92, usercpu_time_millis_testing: 7.697, usercpu_time_millis_training: 53.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9329, kappa: 0.833, kb_relative_information_score: 20940.3629, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5507, scimark_benchmark: 1849.3014, usercpu_time_millis: 57.852, usercpu_time_millis_testing: 2.317, usercpu_time_millis_training: 55.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9469, kappa: 0.8695, kb_relative_information_score: 26789.0687, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4463, scimark_benchmark: 1853.454, usercpu_time_millis: 49.968, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 49.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.5157, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 39.045, usercpu_time_millis_testing: 5.532, usercpu_time_millis_training: 33.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8653, kappa: 0.6693, kb_relative_information_score: 15603.497, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8651, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1852.9988, usercpu_time_millis: 21.822, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 21.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8577, kappa: 0.6527, kb_relative_information_score: 15550.9417, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8571, prior_entropy: 0.863, recall: 0.8571, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7403, scimark_benchmark: 1853.3841, usercpu_time_millis: 21.015, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 20.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9512, kappa: 0.8802, kb_relative_information_score: 27803.3158, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9512, prior_entropy: 0.863, recall: 0.9512, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1800.9256, usercpu_time_millis: 5931.126, usercpu_time_millis_testing: 17.228, usercpu_time_millis_training: 5913.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9568, kappa: 0.8941, kb_relative_information_score: 28180.3315, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4071, scimark_benchmark: 1738.1025, usercpu_time_millis: 3600.214, usercpu_time_millis_testing: 22.127, usercpu_time_millis_training: 3578.087,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9665, kappa: 0.9179, kb_relative_information_score: 29413.2978, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3623, scimark_benchmark: 1840.6995, usercpu_time_millis: 1767.131, usercpu_time_millis_testing: 10.452, usercpu_time_millis_training: 1756.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.95, kappa: 0.8774, kb_relative_information_score: 27397.2904, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4346, scimark_benchmark: 1731.6389, usercpu_time_millis: 1212.771, usercpu_time_millis_testing: 4.246, usercpu_time_millis_training: 1208.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9304, kappa: 0.8264, kb_relative_information_score: 25136.7421, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9318, prior_entropy: 0.863, recall: 0.9318, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.5007, scimark_benchmark: 1777.1285, usercpu_time_millis: 956.521, usercpu_time_millis_testing: 7.619, usercpu_time_millis_training: 948.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9552, kappa: 0.89, kb_relative_information_score: 27823.2983, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1843.3995, usercpu_time_millis: 400.516, usercpu_time_millis_testing: 8.978, usercpu_time_millis_training: 391.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9625, kappa: 0.9079, kb_relative_information_score: 28797.5002, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3816, scimark_benchmark: 1869.6108, usercpu_time_millis: 307.303, usercpu_time_millis_testing: 3.889, usercpu_time_millis_training: 303.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8681, kappa: 0.6778, kb_relative_information_score: 16891.658, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8686, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6792, scimark_benchmark: 1772.7348, usercpu_time_millis: 265.486, usercpu_time_millis_testing: 7.934, usercpu_time_millis_training: 257.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8581, kappa: 0.6517, kb_relative_information_score: 15472.9102, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8579, predictive_accuracy: 0.8583, prior_entropy: 0.863, recall: 0.8583, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.7371, scimark_benchmark: 1743.7615, usercpu_time_millis: 140.981, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 136.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9276, kappa: 0.8193, kb_relative_information_score: 23622.9859, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9292, predictive_accuracy: 0.9291, prior_entropy: 0.863, recall: 0.9291, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5111, scimark_benchmark: 1848.916, usercpu_time_millis: 124.529, usercpu_time_millis_testing: 2.251, usercpu_time_millis_training: 122.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9575, kappa: 0.8958, kb_relative_information_score: 28348.9003, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4003, scimark_benchmark: 1850.4154, usercpu_time_millis: 120.549, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 119.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8671, kappa: 0.6756, kb_relative_information_score: 17071.4598, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8677, predictive_accuracy: 0.8666, prior_entropy: 0.863, recall: 0.8666, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6814, scimark_benchmark: 1855.6669, usercpu_time_millis: 70.745, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 69.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.6087, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.5818, usercpu_time_millis: 44.398, usercpu_time_millis_testing: 7.828, usercpu_time_millis_training: 36.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.6902, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.2035, usercpu_time_millis: 24.317, usercpu_time_millis_testing: 3.507, usercpu_time_millis_training: 20.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -10.5647, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.0065, usercpu_time_millis: 12.839, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 12.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9518, kappa: 0.8818, kb_relative_information_score: 27651.9859, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9519, prior_entropy: 0.863, recall: 0.9519, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1864.3556, usercpu_time_millis: 3121.696, usercpu_time_millis_testing: 9.097, usercpu_time_millis_training: 3112.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9336, kappa: 0.8352, kb_relative_information_score: 25301.7758, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4974, scimark_benchmark: 1729.728, usercpu_time_millis: 2918.527, usercpu_time_millis_testing: 9.747, usercpu_time_millis_training: 2908.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9654, kappa: 0.9149, kb_relative_information_score: 29470.9358, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3628, scimark_benchmark: 1795.9923, usercpu_time_millis: 1946.21, usercpu_time_millis_testing: 7.75, usercpu_time_millis_training: 1938.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29491.8001, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1732.4384, usercpu_time_millis: 1597.113, usercpu_time_millis_testing: 6.825, usercpu_time_millis_training: 1590.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9345, kappa: 0.8375, kb_relative_information_score: 25336.4632, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.492, scimark_benchmark: 1736.9559, usercpu_time_millis: 1492.406, usercpu_time_millis_testing: 12.214, usercpu_time_millis_training: 1480.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 29293.2036, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3649, scimark_benchmark: 1727.4447, usercpu_time_millis: 1084.731, usercpu_time_millis_testing: 8.617, usercpu_time_millis_training: 1076.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29223.0235, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3684, scimark_benchmark: 1734.7321, usercpu_time_millis: 594.319, usercpu_time_millis_testing: 2.905, usercpu_time_millis_training: 591.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 28979.6528, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.376, scimark_benchmark: 1730.591, usercpu_time_millis: 434.084, usercpu_time_millis_testing: 2.946, usercpu_time_millis_training: 431.138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.959, kappa: 0.8991, kb_relative_information_score: 28319.547, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3966, scimark_benchmark: 1755.7769, usercpu_time_millis: 290.884, usercpu_time_millis_testing: 4.652, usercpu_time_millis_training: 286.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9461, kappa: 0.8673, kb_relative_information_score: 26731.6416, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.45, scimark_benchmark: 1806.0061, usercpu_time_millis: 294.421, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 292.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9141, kappa: 0.7837, kb_relative_information_score: 24317.6575, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9195, predictive_accuracy: 0.9172, prior_entropy: 0.863, recall: 0.9172, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5359, scimark_benchmark: 1777.0751, usercpu_time_millis: 359.897, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 358.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8686, kappa: 0.6809, kb_relative_information_score: 17301.2432, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8703, predictive_accuracy: 0.8675, prior_entropy: 0.863, recall: 0.8675, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6857, scimark_benchmark: 1852.4008, usercpu_time_millis: 288.621, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 287.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9367, kappa: 0.8434, kb_relative_information_score: 26008.2751, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9369, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4719, scimark_benchmark: 1733.3606, usercpu_time_millis: 166.112, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 164.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9584, kappa: 0.8981, kb_relative_information_score: 28409.6502, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974, scimark_benchmark: 1805.8353, usercpu_time_millis: 4354.297, usercpu_time_millis_testing: 30.937, usercpu_time_millis_training: 4323.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9461, kappa: 0.8673, kb_relative_information_score: 26766.5728, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4507, scimark_benchmark: 1821.8153, usercpu_time_millis: 3936.106, usercpu_time_millis_testing: 25.8, usercpu_time_millis_training: 3910.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 28362.7152, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.4012, scimark_benchmark: 1833.0245, usercpu_time_millis: 3782.549, usercpu_time_millis_testing: 10.338, usercpu_time_millis_training: 3772.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9638, kappa: 0.9111, kb_relative_information_score: 29139.548, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3723, scimark_benchmark: 1740.9783, usercpu_time_millis: 3442.797, usercpu_time_millis_testing: 12.167, usercpu_time_millis_training: 3430.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.917, kappa: 0.7912, kb_relative_information_score: 24509.8932, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5173, scimark_benchmark: 1713.5877, usercpu_time_millis: 3003.229, usercpu_time_millis_testing: 22.212, usercpu_time_millis_training: 2981.017,

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