OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9585, kappa: 0.8285, kb_relative_information_score: 2313.7347, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5098, scimark_benchmark: 1738.3274, usercpu_time_millis: 5663.035, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 5660.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.973, kappa: 0.886, kb_relative_information_score: 2638.4009, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4207, scimark_benchmark: 1802.4249, usercpu_time_millis: 4092.95, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 4090.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2519.6834, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4491, scimark_benchmark: 737.2127, usercpu_time_millis: 3729.143, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 3726.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2647.4755, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4198, scimark_benchmark: 1819.5393, usercpu_time_millis: 3264.903, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 3262.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9762, kappa: 0.9, kb_relative_information_score: 2691.0698, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4133, scimark_benchmark: 1817.8567, usercpu_time_millis: 1754.748, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 1753.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9588, kappa: 0.8299, kb_relative_information_score: 2286.2883, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5136, scimark_benchmark: 1728.4686, usercpu_time_millis: 1633.555, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 1632.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9555, kappa: 0.8141, kb_relative_information_score: 2299.1915, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9553, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5127, scimark_benchmark: 1809.5563, usercpu_time_millis: 1605.008, usercpu_time_millis_testing: 1.989, usercpu_time_millis_training: 1603.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9773, kappa: 0.9041, kb_relative_information_score: 2636.8587, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4024, scimark_benchmark: 737.9401, usercpu_time_millis: 1431.836, usercpu_time_millis_testing: 6.618, usercpu_time_millis_training: 1425.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9752, kappa: 0.8954, kb_relative_information_score: 2625.3659, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4143, scimark_benchmark: 1821.0296, usercpu_time_millis: 1383.748, usercpu_time_millis_testing: 2.665, usercpu_time_millis_training: 1381.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.961, kappa: 0.8382, kb_relative_information_score: 2247.2328, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4968, scimark_benchmark: 738.8222, usercpu_time_millis: 1286.956, usercpu_time_millis_testing: 3.389, usercpu_time_millis_training: 1283.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9756, kappa: 0.8978, kb_relative_information_score: 2712.0697, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4095, scimark_benchmark: 736.6879, usercpu_time_millis: 1255.984, usercpu_time_millis_testing: 2.505, usercpu_time_millis_training: 1253.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9591, kappa: 0.8303, kb_relative_information_score: 2263.0956, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5116, scimark_benchmark: 1728.8162, usercpu_time_millis: 632.724, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 631.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2573.0995, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.424, scimark_benchmark: 1811.038, usercpu_time_millis: 364.441, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 362.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2449.1458, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4539, scimark_benchmark: 1731.1814, usercpu_time_millis: 319.525, usercpu_time_millis_testing: 1.216, usercpu_time_millis_training: 318.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9589, kappa: 0.8308, kb_relative_information_score: 2280.5064, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.515, scimark_benchmark: 1787.1988, usercpu_time_millis: 251.085, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 250.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9717, kappa: 0.88, kb_relative_information_score: 2543.0435, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4442, scimark_benchmark: 1731.1814, usercpu_time_millis: 243.593, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 242.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9611, kappa: 0.8381, kb_relative_information_score: 2239.8583, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.5, scimark_benchmark: 737.2127, usercpu_time_millis: 226.292, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 224.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2491.4771, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.445, scimark_benchmark: 1797.6516, usercpu_time_millis: 61.209, usercpu_time_millis_testing: 0.608, usercpu_time_millis_training: 60.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.6901, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1787.8537, usercpu_time_millis: 7.538, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 6.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -2.7391, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1795.7057, usercpu_time_millis: 5.141, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 4.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9733, kappa: 0.8874, kb_relative_information_score: 2597.4401, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4305, scimark_benchmark: 1094.0133, usercpu_time_millis: 6336.846, usercpu_time_millis_testing: 6.083, usercpu_time_millis_training: 6330.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9588, kappa: 0.8299, kb_relative_information_score: 2283.2104, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5278, scimark_benchmark: 1805.9831, usercpu_time_millis: 5300.323, usercpu_time_millis_testing: 1.542, usercpu_time_millis_training: 5298.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9588, kappa: 0.8302, kb_relative_information_score: 2284.8214, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.5301, scimark_benchmark: 1716.8263, usercpu_time_millis: 5254.696, usercpu_time_millis_testing: 2.242, usercpu_time_millis_training: 5252.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2553.2895, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4425, scimark_benchmark: 1702.8781, usercpu_time_millis: 4201.45, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 4199.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2585.1955, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4469, scimark_benchmark: 1730.4525, usercpu_time_millis: 3958.132, usercpu_time_millis_testing: 2.085, usercpu_time_millis_training: 3956.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9645, kappa: 0.852, kb_relative_information_score: 2369.0745, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4796, scimark_benchmark: 2147.0475, usercpu_time_millis: 3631.512, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 3629.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9751, kappa: 0.8956, kb_relative_information_score: 2706.7111, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4132, scimark_benchmark: 1734.394, usercpu_time_millis: 3205.79, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 3203.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9597, kappa: 0.8335, kb_relative_information_score: 2296.1631, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5073, scimark_benchmark: 2147.7337, usercpu_time_millis: 2250.873, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 2249.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9718, kappa: 0.8807, kb_relative_information_score: 2433.4537, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4533, scimark_benchmark: 1723.9607, usercpu_time_millis: 2024.129, usercpu_time_millis_testing: 2.334, usercpu_time_millis_training: 2021.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9702, kappa: 0.8738, kb_relative_information_score: 2571.7883, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4444, scimark_benchmark: 1698.2646, usercpu_time_millis: 1945.346, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 1944.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9591, kappa: 0.8316, kb_relative_information_score: 2282.2984, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5104, scimark_benchmark: 1740.7957, usercpu_time_millis: 1701.054, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 1699.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2262.8439, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5016, scimark_benchmark: 1759.3393, usercpu_time_millis: 893.254, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 891.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9736, kappa: 0.8882, kb_relative_information_score: 2548.5566, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.4329, scimark_benchmark: 1744.0649, usercpu_time_millis: 836.587, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 834.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9562, kappa: 0.817, kb_relative_information_score: 2261.8162, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.956, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5175, scimark_benchmark: 1707.6947, usercpu_time_millis: 281.788, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 280.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9616, kappa: 0.8404, kb_relative_information_score: 2244.0039, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4974, scimark_benchmark: 1761.6304, usercpu_time_millis: 246.638, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 245.674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9691, kappa: 0.8687, kb_relative_information_score: 2203.5757, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.172, root_relative_squared_error: 0.4957, scimark_benchmark: 1741.4796, usercpu_time_millis: 719.79, usercpu_time_millis_testing: 2.764, usercpu_time_millis_training: 717.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9592, kappa: 0.8325, kb_relative_information_score: 2267.8948, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5077, scimark_benchmark: 2129.6468, usercpu_time_millis: 574.529, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 573.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.964, kappa: 0.8495, kb_relative_information_score: 2226.4164, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4968, scimark_benchmark: 1725.2655, usercpu_time_millis: 459.335, usercpu_time_millis_testing: 1.866, usercpu_time_millis_training: 457.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9761, kappa: 0.8994, kb_relative_information_score: 2657.6032, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3998, scimark_benchmark: 1731.1994, usercpu_time_millis: 397.045, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 395.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9735, kappa: 0.8879, kb_relative_information_score: 2398.9599, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4459, scimark_benchmark: 1723.9268, usercpu_time_millis: 303.912, usercpu_time_millis_testing: 2.854, usercpu_time_millis_training: 301.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9699, kappa: 0.8706, kb_relative_information_score: 2354.8218, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.4574, scimark_benchmark: 1739.7073, usercpu_time_millis: 238.922, usercpu_time_millis_testing: 5.649, usercpu_time_millis_training: 233.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9712, kappa: 0.8772, kb_relative_information_score: 2250.3422, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.479, scimark_benchmark: 1730.591, usercpu_time_millis: 238.357, usercpu_time_millis_testing: 2.372, usercpu_time_millis_training: 235.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9695, kappa: 0.8717, kb_relative_information_score: 2353.2835, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.473, scimark_benchmark: 1728.9274, usercpu_time_millis: 225, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 224.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9741, kappa: 0.8902, kb_relative_information_score: 2464.1141, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4392, scimark_benchmark: 1736.0383, usercpu_time_millis: 32.958, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 32.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9718, kappa: 0.8799, kb_relative_information_score: 2340.6461, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9723, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.4568, scimark_benchmark: 1737.1946, usercpu_time_millis: 23.681, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 22.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9622, kappa: 0.8362, kb_relative_information_score: 2087.5491, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5289, scimark_benchmark: 1719.131, usercpu_time_millis: 19.377, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 18.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -9.8765, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1733.8726, usercpu_time_millis: 3.582, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 2.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -13.4811, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1738.3274, usercpu_time_millis: 3.502, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 2.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9583, kappa: 0.828, kb_relative_information_score: 2284.4625, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.531, scimark_benchmark: 1785.8519, usercpu_time_millis: 5091.937, usercpu_time_millis_testing: 2.33, usercpu_time_millis_training: 5089.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9724, kappa: 0.8836, kb_relative_information_score: 2628.6369, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4355, scimark_benchmark: 1841.7343, usercpu_time_millis: 4138.865, usercpu_time_millis_testing: 1.725, usercpu_time_millis_training: 4137.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.975, kappa: 0.8952, kb_relative_information_score: 2692.1811, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4141, scimark_benchmark: 1781.6418, usercpu_time_millis: 2924.974, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 2923.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9588, kappa: 0.8302, kb_relative_information_score: 2282.2921, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.184, root_relative_squared_error: 0.5302, scimark_benchmark: 1811.2087, usercpu_time_millis: 2371.057, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 2369.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9717, kappa: 0.8803, kb_relative_information_score: 2563.8929, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4298, scimark_benchmark: 1770.5992, usercpu_time_millis: 2109.09, usercpu_time_millis_testing: 3.045, usercpu_time_millis_training: 2106.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2576.3668, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4327, scimark_benchmark: 1794.3632, usercpu_time_millis: 1855.311, usercpu_time_millis_testing: 2.227, usercpu_time_millis_training: 1853.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9598, kappa: 0.8344, kb_relative_information_score: 2274.7427, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9602, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5069, scimark_benchmark: 1850.2875, usercpu_time_millis: 1246.057, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 1244.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2514.7556, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4379, scimark_benchmark: 1807.1965, usercpu_time_millis: 1129.637, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 1127.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9662, kappa: 0.8589, kb_relative_information_score: 2332.1023, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9661, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4746, scimark_benchmark: 1853.3841, usercpu_time_millis: 759.129, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 757.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9651, kappa: 0.8548, kb_relative_information_score: 2281.9975, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4844, scimark_benchmark: 1742.0388, usercpu_time_millis: 735.17, usercpu_time_millis_testing: 2.107, usercpu_time_millis_training: 733.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2625.4203, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4261, scimark_benchmark: 1785.3259, usercpu_time_millis: 729.607, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 728.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9711, kappa: 0.8779, kb_relative_information_score: 2579.122, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4275, scimark_benchmark: 1782.1728, usercpu_time_millis: 551.648, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 550.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9733, kappa: 0.8872, kb_relative_information_score: 2627.1993, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4189, scimark_benchmark: 1855.4813, usercpu_time_millis: 520.374, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 519.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9754, kappa: 0.896, kb_relative_information_score: 2636.1843, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4064, scimark_benchmark: 1721.6273, usercpu_time_millis: 458.465, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 456.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9765, kappa: 0.901, kb_relative_information_score: 2676.4967, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3977, scimark_benchmark: 1850.2875, usercpu_time_millis: 297.261, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 295.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2272.0617, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5036, scimark_benchmark: 1854.0399, usercpu_time_millis: 283.313, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 282.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.975, kappa: 0.894, kb_relative_information_score: 2553.5607, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9754, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4219, scimark_benchmark: 1849.7595, usercpu_time_millis: 199.154, usercpu_time_millis_testing: 2.002, usercpu_time_millis_training: 197.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9654, kappa: 0.8501, kb_relative_information_score: 2265.8827, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4825, scimark_benchmark: 1857.5664, usercpu_time_millis: 103.894, usercpu_time_millis_testing: 3.524, usercpu_time_millis_training: 100.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8811, kappa: 0.4427, kb_relative_information_score: 1256.5144, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9031, predictive_accuracy: 0.9018, prior_entropy: 0.5848, recall: 0.9018, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7518, scimark_benchmark: 1856.5802, usercpu_time_millis: 13.245, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 12.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9698, kappa: 0.8709, kb_relative_information_score: 2186.4008, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4979, scimark_benchmark: 1788.7316, usercpu_time_millis: 10.881, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 10.304,

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