OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8494, kappa: 0.6321, kb_relative_information_score: 2171.8556, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8486, predictive_accuracy: 0.8516, prior_entropy: 0.8733, recall: 0.8516, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7397, scimark_benchmark: 1375.1649, usercpu_time_millis: 21.892, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 20.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7037, kappa: 0.255, kb_relative_information_score: 980.5111, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.758, predictive_accuracy: 0.7543, prior_entropy: 0.8733, recall: 0.7543, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.875, scimark_benchmark: 1371.3489, usercpu_time_millis: 9.127, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 7.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8566, kappa: 0.6501, kb_relative_information_score: 2307.3974, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8559, predictive_accuracy: 0.8584, prior_entropy: 0.8733, recall: 0.8584, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7195, scimark_benchmark: 1376.1697, usercpu_time_millis: 38.871, usercpu_time_millis_testing: 2.485, usercpu_time_millis_training: 36.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.7909, kappa: 0.4841, kb_relative_information_score: 1537.519, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7897, predictive_accuracy: 0.7972, prior_entropy: 0.8733, recall: 0.7972, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.8071, scimark_benchmark: 1378.5627, usercpu_time_millis: 15.055, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 13.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8728, kappa: 0.6916, kb_relative_information_score: 2791.1777, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8723, predictive_accuracy: 0.8734, prior_entropy: 0.8733, recall: 0.8734, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6682, scimark_benchmark: 1385.9087, usercpu_time_millis: 71.395, usercpu_time_millis_testing: 2.398, usercpu_time_millis_training: 68.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8124, kappa: 0.541, kb_relative_information_score: 1889.7375, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.811, predictive_accuracy: 0.8155, prior_entropy: 0.8733, recall: 0.8155, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7781, scimark_benchmark: 1375.1632, usercpu_time_millis: 37.334, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 35.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: -0.4975, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1377.8102, usercpu_time_millis: 6.924, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 5.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8752, kappa: 0.6976, kb_relative_information_score: 2795.7928, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6637, scimark_benchmark: 1376.154, usercpu_time_millis: 78.589, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 76.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7861, kappa: 0.4772, kb_relative_information_score: 1449.4954, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7842, predictive_accuracy: 0.7894, prior_entropy: 0.8733, recall: 0.7894, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8245, scimark_benchmark: 1376.3637, usercpu_time_millis: 14.348, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 12.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7719, kappa: 0.434, kb_relative_information_score: 1417.9108, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7711, predictive_accuracy: 0.7813, prior_entropy: 0.8733, recall: 0.7813, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.374, root_relative_squared_error: 0.8213, scimark_benchmark: 1371.3715, usercpu_time_millis: 9.587, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 8.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8724, kappa: 0.6906, kb_relative_information_score: 2795.0968, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8719, predictive_accuracy: 0.8731, prior_entropy: 0.8733, recall: 0.8731, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6672, scimark_benchmark: 1374.1562, usercpu_time_millis: 83.069, usercpu_time_millis_testing: 3.022, usercpu_time_millis_training: 80.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9099, kappa: 0.7817, kb_relative_information_score: 3275.0871, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9096, predictive_accuracy: 0.9103, prior_entropy: 0.8733, recall: 0.9103, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5854, scimark_benchmark: 1386.6391, usercpu_time_millis: 86.553, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 80.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7636, kappa: 0.446, kb_relative_information_score: 1272.1546, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.773, predictive_accuracy: 0.7583, prior_entropy: 0.8733, recall: 0.7583, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8619, scimark_benchmark: 1371.858, usercpu_time_millis: 4.905, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 4.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8808, kappa: 0.7103, kb_relative_information_score: 2718.0909, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8803, predictive_accuracy: 0.8818, prior_entropy: 0.8733, recall: 0.8818, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6613, scimark_benchmark: 1373.8434, usercpu_time_millis: 16.932, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 15.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8554, kappa: 0.6479, kb_relative_information_score: 2542.1282, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8547, predictive_accuracy: 0.857, prior_entropy: 0.8733, recall: 0.857, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7017, scimark_benchmark: 1373.0602, usercpu_time_millis: 51.064, usercpu_time_millis_testing: 1.469, usercpu_time_millis_training: 49.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8956, kappa: 0.7474, kb_relative_information_score: 3153.7734, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8953, predictive_accuracy: 0.896, prior_entropy: 0.8733, recall: 0.896, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.6158, scimark_benchmark: 1371.9183, usercpu_time_millis: 19.211, usercpu_time_millis_testing: 0.613, usercpu_time_millis_training: 18.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7701, kappa: 0.4304, kb_relative_information_score: 1246.2767, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7687, predictive_accuracy: 0.7787, prior_entropy: 0.8733, recall: 0.7787, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8444, scimark_benchmark: 1359.8551, usercpu_time_millis: 0.402, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8464, kappa: 0.6244, kb_relative_information_score: 2160.0457, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8456, predictive_accuracy: 0.8488, prior_entropy: 0.8733, recall: 0.8488, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7372, scimark_benchmark: 1371.9073, usercpu_time_millis: 25.271, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 24.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8105, kappa: 0.538, kb_relative_information_score: 1808.2767, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8091, predictive_accuracy: 0.8127, prior_entropy: 0.8733, recall: 0.8127, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7804, scimark_benchmark: 1379.8702, usercpu_time_millis: 32.091, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 29.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8738, kappa: 0.6947, kb_relative_information_score: 2924.0154, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8734, predictive_accuracy: 0.8742, prior_entropy: 0.8733, recall: 0.8742, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6558, scimark_benchmark: 1378.7382, usercpu_time_millis: 13.22, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 12.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8979, kappa: 0.753, kb_relative_information_score: 3226.6314, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8977, predictive_accuracy: 0.8982, prior_entropy: 0.8733, recall: 0.8982, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6043, scimark_benchmark: 1384.9311, usercpu_time_millis: 30.524, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 29.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8981, kappa: 0.7534, kb_relative_information_score: 3236.5214, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8978, predictive_accuracy: 0.8984, prior_entropy: 0.8733, recall: 0.8984, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6048, scimark_benchmark: 1380.867, usercpu_time_millis: 93.472, usercpu_time_millis_testing: 2.839, usercpu_time_millis_training: 90.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8648, kappa: 0.6719, kb_relative_information_score: 2709.3805, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8642, predictive_accuracy: 0.8657, prior_entropy: 0.8733, recall: 0.8657, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6799, scimark_benchmark: 1380.7549, usercpu_time_millis: 52.168, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 50.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7306, kappa: 0.3202, kb_relative_information_score: 1007.7895, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7485, predictive_accuracy: 0.7607, prior_entropy: 0.8733, recall: 0.7607, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8675, scimark_benchmark: 1367.0563, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7642, kappa: 0.4511, kb_relative_information_score: 1128.4375, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7581, prior_entropy: 0.8733, recall: 0.7581, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8881, scimark_benchmark: 1374.3162, usercpu_time_millis: 5.837, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 5.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8457, kappa: 0.6227, kb_relative_information_score: 2208.7726, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8449, predictive_accuracy: 0.8481, prior_entropy: 0.8733, recall: 0.8481, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7401, scimark_benchmark: 1377.3603, usercpu_time_millis: 20.379, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 19.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8856, kappa: 0.7231, kb_relative_information_score: 3040.0629, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.886, prior_entropy: 0.8733, recall: 0.886, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6345, scimark_benchmark: 1385.6582, usercpu_time_millis: 111.631, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 108.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7983, kappa: 0.5083, kb_relative_information_score: 1681.4838, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7967, predictive_accuracy: 0.8007, prior_entropy: 0.8733, recall: 0.8007, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.796, scimark_benchmark: 1386.5536, usercpu_time_millis: 9.724, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 9.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8533, kappa: 0.6418, kb_relative_information_score: 2223.3716, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8526, predictive_accuracy: 0.8553, prior_entropy: 0.8733, recall: 0.8553, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7333, scimark_benchmark: 1344.9985, usercpu_time_millis: 47.091, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 44.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.585, kb_relative_information_score: -0.3454, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1383.1772, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8657, kappa: 0.673, kb_relative_information_score: 2448.5599, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8651, predictive_accuracy: 0.8671, prior_entropy: 0.8733, recall: 0.8671, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6965, scimark_benchmark: 1366.0573, usercpu_time_millis: 26.872, usercpu_time_millis_testing: 1.992, usercpu_time_millis_training: 24.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.585, kb_relative_information_score: 0.2644, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1364.8087, usercpu_time_millis: 0.322, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.6985, kappa: 0.2425, kb_relative_information_score: 1049.0775, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7537, predictive_accuracy: 0.7511, prior_entropy: 0.8733, recall: 0.7511, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8591, scimark_benchmark: 1379.2814, usercpu_time_millis: 5.733, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 5.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8596, kappa: 0.6579, kb_relative_information_score: 2371.6425, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8589, predictive_accuracy: 0.8612, prior_entropy: 0.8733, recall: 0.8612, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.7066, scimark_benchmark: 1380.2063, usercpu_time_millis: 6.787, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8513, kappa: 0.6374, kb_relative_information_score: 2197.8889, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8506, predictive_accuracy: 0.8533, prior_entropy: 0.8733, recall: 0.8533, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7365, scimark_benchmark: 1381.5778, usercpu_time_millis: 52.331, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 50.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.874, kappa: 0.6939, kb_relative_information_score: 2584.7232, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8735, predictive_accuracy: 0.8751, prior_entropy: 0.8733, recall: 0.8751, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6792, scimark_benchmark: 1849.8294, usercpu_time_millis: 13.863, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 13.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7244, kappa: 0.3045, kb_relative_information_score: 1097.1311, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7552, predictive_accuracy: 0.7615, prior_entropy: 0.8733, recall: 0.7615, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.854, scimark_benchmark: 1849.0944, usercpu_time_millis: 8.417, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 7.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7587, kappa: 0.3968, kb_relative_information_score: 1223.9792, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7609, predictive_accuracy: 0.7733, prior_entropy: 0.8733, recall: 0.7733, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8409, scimark_benchmark: 1848.5692, usercpu_time_millis: 5.569, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 5.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7718, kappa: 0.4358, kb_relative_information_score: 1280.1177, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7701, predictive_accuracy: 0.7796, prior_entropy: 0.8733, recall: 0.7796, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8404, scimark_benchmark: 1849.8294, usercpu_time_millis: 1.6, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.88, kappa: 0.7094, kb_relative_information_score: 2857.786, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8796, predictive_accuracy: 0.8806, prior_entropy: 0.8733, recall: 0.8806, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.655, scimark_benchmark: 1384.0241, usercpu_time_millis: 76.976, usercpu_time_millis_testing: 3.846, usercpu_time_millis_training: 73.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7723, kappa: 0.4498, kb_relative_information_score: 1077.0165, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7728, prior_entropy: 0.8733, recall: 0.7728, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8758, scimark_benchmark: 1429.3367, usercpu_time_millis: 11.498, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 10.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8899, kappa: 0.7334, kb_relative_information_score: 2967.6776, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8896, predictive_accuracy: 0.8905, prior_entropy: 0.8733, recall: 0.8905, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6363, scimark_benchmark: 1381.7882, usercpu_time_millis: 57.234, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 54.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8398, kappa: 0.6073, kb_relative_information_score: 2080.6879, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8391, predictive_accuracy: 0.8429, prior_entropy: 0.8733, recall: 0.8429, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.7471, scimark_benchmark: 1393.8027, usercpu_time_millis: 20.957, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 19.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8919, kappa: 0.7382, kb_relative_information_score: 3051.8819, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8915, predictive_accuracy: 0.8923, prior_entropy: 0.8733, recall: 0.8923, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6278, scimark_benchmark: 1376.6288, usercpu_time_millis: 94.8, usercpu_time_millis_testing: 4.083, usercpu_time_millis_training: 90.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7812, kappa: 0.4739, kb_relative_information_score: 1548.8814, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7819, predictive_accuracy: 0.7805, prior_entropy: 0.8733, recall: 0.7805, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.826, scimark_benchmark: 1396.7026, usercpu_time_millis: 7.63, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 7.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8973, kappa: 0.7512, kb_relative_information_score: 2991.2665, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.897, predictive_accuracy: 0.8979, prior_entropy: 0.8733, recall: 0.8979, relative_absolute_error: 0.4657, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.625, scimark_benchmark: 1373.2627, usercpu_time_millis: 5.371, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.898, kappa: 0.7533, kb_relative_information_score: 3257.0444, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8977, predictive_accuracy: 0.8982, prior_entropy: 0.8733, recall: 0.8982, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6047, scimark_benchmark: 1383.0267, usercpu_time_millis: 94.69, usercpu_time_millis_testing: 2.329, usercpu_time_millis_training: 92.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8869, kappa: 0.7255, kb_relative_information_score: 2942.0071, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8865, predictive_accuracy: 0.8877, prior_entropy: 0.8733, recall: 0.8877, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6401, scimark_benchmark: 1374.534, usercpu_time_millis: 8.92, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 8.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8852, kappa: 0.7213, kb_relative_information_score: 2783.4892, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8848, predictive_accuracy: 0.886, prior_entropy: 0.8733, recall: 0.886, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6529, scimark_benchmark: 1373.5322, usercpu_time_millis: 45.624, usercpu_time_millis_testing: 3.047, usercpu_time_millis_training: 42.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7793, kappa: 0.4633, kb_relative_information_score: 1594.9222, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7778, predictive_accuracy: 0.7813, prior_entropy: 0.8733, recall: 0.7813, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.8225, scimark_benchmark: 1371.7647, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9131, kappa: 0.7897, kb_relative_information_score: 3556.7757, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9129, predictive_accuracy: 0.9134, prior_entropy: 0.8733, recall: 0.9134, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5633, scimark_benchmark: 1378.3451, usercpu_time_millis: 30.453, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 29.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8175, kappa: 0.5532, kb_relative_information_score: 1916.4546, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8163, predictive_accuracy: 0.8209, prior_entropy: 0.8733, recall: 0.8209, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7697, scimark_benchmark: 1379.2406, usercpu_time_millis: 31.532, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 29.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.585, kb_relative_information_score: 0.1938, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1376.2914, usercpu_time_millis: 2.617, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 2.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.585, kb_relative_information_score: -0.0815, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1375.2461, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8929, kappa: 0.7404, kb_relative_information_score: 2943.3807, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.8934, prior_entropy: 0.8733, recall: 0.8934, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.6311, scimark_benchmark: 1377.2776, usercpu_time_millis: 9.884, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 9.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.6667, kappa: 0.171, kb_relative_information_score: 900.7404, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7574, predictive_accuracy: 0.7389, prior_entropy: 0.8733, recall: 0.7389, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8762, scimark_benchmark: 1376.1923, usercpu_time_millis: 6.88, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 5.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7885, kappa: 0.4872, kb_relative_information_score: 1659.9849, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7875, predictive_accuracy: 0.7898, prior_entropy: 0.8733, recall: 0.7898, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.8046, scimark_benchmark: 1379.6563, usercpu_time_millis: 19.213, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 18.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9079, kappa: 0.7772, kb_relative_information_score: 3510.3297, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9077, predictive_accuracy: 0.9082, prior_entropy: 0.8733, recall: 0.9082, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5732, scimark_benchmark: 1376.4039, usercpu_time_millis: 87.209, usercpu_time_millis_testing: 2.461, usercpu_time_millis_training: 84.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.878, kappa: 0.7046, kb_relative_information_score: 2900.283, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8776, predictive_accuracy: 0.8786, prior_entropy: 0.8733, recall: 0.8786, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.651, scimark_benchmark: 1373.4852, usercpu_time_millis: 52.893, usercpu_time_millis_testing: 2.607, usercpu_time_millis_training: 50.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.901, kappa: 0.7604, kb_relative_information_score: 3325.1181, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9008, predictive_accuracy: 0.9014, prior_entropy: 0.8733, recall: 0.9014, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5953, scimark_benchmark: 1375.5487, usercpu_time_millis: 40.892, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 39.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8698, kappa: 0.6851, kb_relative_information_score: 3002.3118, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8695, predictive_accuracy: 0.8701, prior_entropy: 0.8733, recall: 0.8701, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6578, scimark_benchmark: 1376.2276, usercpu_time_millis: 120.973, usercpu_time_millis_testing: 2.28, usercpu_time_millis_training: 118.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8197, kappa: 0.5583, kb_relative_information_score: 1903.9503, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8185, predictive_accuracy: 0.8231, prior_entropy: 0.8733, recall: 0.8231, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7687, scimark_benchmark: 1382.4196, usercpu_time_millis: 5.226, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 4.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7737, kappa: 0.4421, kb_relative_information_score: 1000.8985, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7717, predictive_accuracy: 0.7803, prior_entropy: 0.8733, recall: 0.7803, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8723, scimark_benchmark: 1378.9544, usercpu_time_millis: 13.308, usercpu_time_millis_testing: 1.432, usercpu_time_millis_training: 11.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8562, kappa: 0.6496, kb_relative_information_score: 2475.6458, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8555, predictive_accuracy: 0.8579, prior_entropy: 0.8733, recall: 0.8579, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7081, scimark_benchmark: 1379.6059, usercpu_time_millis: 35.694, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 34.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9116, kappa: 0.7863, kb_relative_information_score: 3545.7078, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9114, predictive_accuracy: 0.9119, prior_entropy: 0.8733, recall: 0.9119, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5643, scimark_benchmark: 1373.6124, usercpu_time_millis: 18.086, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 17.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.6675, kappa: 0.1726, kb_relative_information_score: 911.7649, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7551, predictive_accuracy: 0.7389, prior_entropy: 0.8733, recall: 0.7389, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8746, scimark_benchmark: 1380.3863, usercpu_time_millis: 12.754, usercpu_time_millis_testing: 1.669, usercpu_time_millis_training: 11.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8833, kappa: 0.7177, kb_relative_information_score: 3084.1376, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.883, predictive_accuracy: 0.8836, prior_entropy: 0.8733, recall: 0.8836, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6362, scimark_benchmark: 1380.1461, usercpu_time_millis: 140.96, usercpu_time_millis_testing: 3.054, usercpu_time_millis_training: 137.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9052, kappa: 0.7707, kb_relative_information_score: 3318.7889, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.905, predictive_accuracy: 0.9054, prior_entropy: 0.8733, recall: 0.9054, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5893, scimark_benchmark: 1381.2967, usercpu_time_millis: 90.542, usercpu_time_millis_testing: 3.707, usercpu_time_millis_training: 86.835,

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