OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.006, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1856.624, usercpu_time_millis: 2.018, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1301.101, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.1762, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.967, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1183.7344, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2887, scimark_benchmark: 1863.275, usercpu_time_millis: 6.539, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 5.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1062.2738, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3737, scimark_benchmark: 1867.725, usercpu_time_millis: 5.64, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 4.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9178, kappa: 0.8331, kb_relative_information_score: 936.1231, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 0.9912, recall: 0.9184, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5008, scimark_benchmark: 1864.3098, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 994.7723, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4275, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8879, kappa: 0.7723, kb_relative_information_score: 564.1636, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8946, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.697, scimark_benchmark: 1857.66, usercpu_time_millis: 2.947, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 2.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9789, kappa: 0.9572, kb_relative_information_score: 1206.8357, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2958, scimark_benchmark: 1861.6424, usercpu_time_millis: 2.778, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0018, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9708, kappa: 0.9407, kb_relative_information_score: 1182.8543, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9714, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3195, scimark_benchmark: 1865.8853, usercpu_time_millis: 2.707, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 750.752, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6761, scimark_benchmark: 1846.6356, usercpu_time_millis: 2.734, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 2.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 734.8597, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6886, scimark_benchmark: 1864.6011, usercpu_time_millis: 2.843, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9247, kappa: 0.8472, kb_relative_information_score: 1030.0558, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9255, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4858, scimark_benchmark: 1848.372, usercpu_time_millis: 2.361, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 2.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.0464, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1870.0988, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9759, kappa: 0.9511, kb_relative_information_score: 1207.8304, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.302, scimark_benchmark: 1864.2755, usercpu_time_millis: 2.759, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9193, kappa: 0.8362, kb_relative_information_score: 812.9155, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9218, predictive_accuracy: 0.9198, prior_entropy: 0.9912, recall: 0.9198, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5529, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.632, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0623, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1855.7107, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9592, kappa: 0.9173, kb_relative_information_score: 1110.2703, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.9912, recall: 0.9592, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3806, scimark_benchmark: 1863.3902, usercpu_time_millis: 1.392, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1256.177, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2081, scimark_benchmark: 1852.0263, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9305, kappa: 0.8589, kb_relative_information_score: 1052.8088, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4477, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1314.7731, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1663, scimark_benchmark: 1864.8991, usercpu_time_millis: 3.443, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 3.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.881, kappa: 0.7588, kb_relative_information_score: 616.408, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8811, predictive_accuracy: 0.8812, prior_entropy: 0.9912, recall: 0.8812, relative_absolute_error: 0.6066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6807, scimark_benchmark: 1851.5723, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9113, kappa: 0.82, kb_relative_information_score: 916.2433, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9133, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5317, scimark_benchmark: 1862.932, usercpu_time_millis: 4.592, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 4.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1317.4154, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.1615, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9445, kappa: 0.8875, kb_relative_information_score: 1076.3108, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 0.9912, recall: 0.9446, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4173, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9715, kappa: 0.9423, kb_relative_information_score: 1195.7486, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3172, scimark_benchmark: 1862.4126, usercpu_time_millis: 0.511, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8924, kappa: 0.7814, kb_relative_information_score: 534.7158, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8989, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7163, scimark_benchmark: 1856.7467, usercpu_time_millis: 0.905, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8612, kappa: 0.7204, kb_relative_information_score: 821.1886, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8637, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.616, scimark_benchmark: 1864.2167, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1201.7101, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.254, scimark_benchmark: 1842.0656, usercpu_time_millis: 2.643, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.8755, kappa: 0.748, kb_relative_information_score: 671.6979, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8756, predictive_accuracy: 0.8754, prior_entropy: 0.9912, recall: 0.8754, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6448, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1084.1637, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3547, scimark_benchmark: 1861.3136, usercpu_time_millis: 1.683, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9577, kappa: 0.9142, kb_relative_information_score: 1130.3409, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9578, predictive_accuracy: 0.9577, prior_entropy: 0.9912, recall: 0.9577, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3761, scimark_benchmark: 1863.3902, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: 0.032, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1862.5505, usercpu_time_millis: 0.54, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1291.9207, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.183, scimark_benchmark: 1851.4609, usercpu_time_millis: 0.851, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.258, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1864.3739, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.066,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9135, kappa: 0.8245, kb_relative_information_score: 941.3707, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9154, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5226, scimark_benchmark: 2015.2802, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1248.4903, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1873.615, usercpu_time_millis: 9.004, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 8.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 1006.9752, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4469, scimark_benchmark: 1857.1406, usercpu_time_millis: 4.929, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 4.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0103, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1856.1102, usercpu_time_millis: 1.251, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.1025, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1848.8314, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1260.603, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2002, scimark_benchmark: 1860.8554, usercpu_time_millis: 4.687, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 4.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9664, kappa: 0.9318, kb_relative_information_score: 1184.0772, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9669, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3283, scimark_benchmark: 1848.2606, usercpu_time_millis: 4.785, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 4.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1303.8082, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.2317, scimark_benchmark: 1870.2804, usercpu_time_millis: 8.57, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 8.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 733.5994, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6915, scimark_benchmark: 1851.5125, usercpu_time_millis: 0.555, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1120.2621, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.325, scimark_benchmark: 1867.5973, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 741.189, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7093, scimark_benchmark: 1849.9877, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8923, kappa: 0.7813, kb_relative_information_score: 479.2841, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8991, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7446, scimark_benchmark: 1853.0696, usercpu_time_millis: 3.232, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 2.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.968, kappa: 0.9351, kb_relative_information_score: 1110.594, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.968, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3602, scimark_benchmark: 1867.2711, usercpu_time_millis: 5.881, usercpu_time_millis_testing: 0.688, usercpu_time_millis_training: 5.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1235.6703, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.2684, scimark_benchmark: 1857.2061, usercpu_time_millis: 2.599, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 1063.6182, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.423, scimark_benchmark: 1861.833, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1240.2474, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2191, scimark_benchmark: 1860.4015, usercpu_time_millis: 2.011, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 1314.8867, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2527, scimark_benchmark: 1872.9496, usercpu_time_millis: 10.261, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 9.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8769, kappa: 0.751, kb_relative_information_score: 615.559, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8771, predictive_accuracy: 0.8768, prior_entropy: 0.9912, recall: 0.8768, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6789, scimark_benchmark: 1857.66, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 1183.2127, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.9912, recall: 0.9665, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3292, scimark_benchmark: 1862.8168, usercpu_time_millis: 5.381, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 4.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9231, kappa: 0.8439, kb_relative_information_score: 1012.0947, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9248, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4871, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.597, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 792.0234, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5636, scimark_benchmark: 1865.3572, usercpu_time_millis: 3.958, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 3.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1310.479, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2143, scimark_benchmark: 1862.4126, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.1867, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1829.5239, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1297.3813, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1865, scimark_benchmark: 1865.4271, usercpu_time_millis: 8.411, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 7.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9202, kappa: 0.8379, kb_relative_information_score: 993.2575, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.922, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4887, scimark_benchmark: 1869.7037, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 4.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.7322, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6961, scimark_benchmark: 1862.6573, usercpu_time_millis: 2.761, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3966, kb_relative_information_score: -0.0658, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1858.3038, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9119, kappa: 0.8211, kb_relative_information_score: 723.1835, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9151, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6033, scimark_benchmark: 1858.9715, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1074.8333, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3608, scimark_benchmark: 1855.5992, usercpu_time_millis: 2.76, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1003.5686, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5152, scimark_benchmark: 1859.9517, usercpu_time_millis: 7.164, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9788, kappa: 0.9571, kb_relative_information_score: 1182.3107, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3093, scimark_benchmark: 1865.5208, usercpu_time_millis: 4.775, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 4.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1273.4546, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2105, scimark_benchmark: 1857.66, usercpu_time_millis: 8.148, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 7.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8502, kappa: 0.6981, kb_relative_information_score: 735.4712, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8522, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6886, scimark_benchmark: 1857.1406, usercpu_time_millis: 1.04, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.924,

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