Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 34536 Supervised Classification Internet-Advertisements 57663 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9666, kappa: 0.8558, kb_relative_information_score: 2273.3707, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.3201, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4746, scimark_benchmark: 1259.7238, usercpu_time_millis: 66.777, usercpu_time_millis_testing: 3.588, usercpu_time_millis_training: 63.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9658, kappa: 0.8519, kb_relative_information_score: 2201.8988, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.4908, scimark_benchmark: 1291.765, usercpu_time_millis: 648.456, usercpu_time_millis_testing: 17.907, usercpu_time_millis_training: 630.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9211, kappa: 0.6399, kb_relative_information_score: 1736.9954, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9349, predictive_accuracy: 0.9308, prior_entropy: 0.5848, recall: 0.9308, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6307, scimark_benchmark: 1294.9665, usercpu_time_millis: 115.618, usercpu_time_millis_testing: 9.027, usercpu_time_millis_training: 106.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9698, kappa: 0.8701, kb_relative_information_score: 2323.4872, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4626, scimark_benchmark: 1275.0386, usercpu_time_millis: 294.367, usercpu_time_millis_testing: 10.909, usercpu_time_millis_training: 283.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9732, kappa: 0.8853, kb_relative_information_score: 2409.5234, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4406, scimark_benchmark: 1280.974, usercpu_time_millis: 1116.65, usercpu_time_millis_testing: 24.593, usercpu_time_millis_training: 1092.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.957, kappa: 0.8115, kb_relative_information_score: 2142.5464, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1296.9482, usercpu_time_millis: 130.519, usercpu_time_millis_testing: 7.853, usercpu_time_millis_training: 122.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9432, kappa: 0.7468, kb_relative_information_score: 1982.7816, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9504, predictive_accuracy: 0.9482, prior_entropy: 0.5848, recall: 0.9482, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5707, scimark_benchmark: 1286.8974, usercpu_time_millis: 72.218, usercpu_time_millis_testing: 6.071, usercpu_time_millis_training: 66.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7982, kappa: 0.0149, kb_relative_information_score: 742.4209, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8805, predictive_accuracy: 0.8612, prior_entropy: 0.5848, recall: 0.8612, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.8712, scimark_benchmark: 1288.7768, usercpu_time_millis: 86.639, usercpu_time_millis_testing: 8.562, usercpu_time_millis_training: 78.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9556, kappa: 0.805, kb_relative_information_score: 2103.0996, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5241, scimark_benchmark: 1295.6529, usercpu_time_millis: 682.604, usercpu_time_millis_testing: 27.385, usercpu_time_millis_training: 655.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9451, kappa: 0.7556, kb_relative_information_score: 1981.3202, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5605, scimark_benchmark: 1289.0478, usercpu_time_millis: 260.151, usercpu_time_millis_testing: 16.202, usercpu_time_millis_training: 243.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9062, kappa: 0.566, kb_relative_information_score: 1465.222, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.926, predictive_accuracy: 0.9201, prior_entropy: 0.5848, recall: 0.9201, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.6985, scimark_benchmark: 1286.7481, usercpu_time_millis: 94.863, usercpu_time_millis_testing: 6.825, usercpu_time_millis_training: 88.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9563, kappa: 0.8082, kb_relative_information_score: 2154.2854, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.525, scimark_benchmark: 1282.6878, usercpu_time_millis: 179.026, usercpu_time_millis_testing: 10.504, usercpu_time_millis_training: 168.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9485, kappa: 0.7716, kb_relative_information_score: 2032.0465, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9542, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.548, scimark_benchmark: 1278.0611, usercpu_time_millis: 346.372, usercpu_time_millis_testing: 19.519, usercpu_time_millis_training: 326.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9732, kappa: 0.8851, kb_relative_information_score: 2410.826, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4415, scimark_benchmark: 1287.4687, usercpu_time_millis: 1731.54, usercpu_time_millis_testing: 39.72, usercpu_time_millis_training: 1691.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9663, kappa: 0.8546, kb_relative_information_score: 2235.3062, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4844, scimark_benchmark: 1300.2594, usercpu_time_millis: 34.691, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 32.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9477, kappa: 0.7682, kb_relative_information_score: 2022.7308, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9536, predictive_accuracy: 0.9518, prior_entropy: 0.5848, recall: 0.9518, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5623, scimark_benchmark: 1282.6659, usercpu_time_millis: 123.036, usercpu_time_millis_testing: 7.413, usercpu_time_millis_training: 115.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9271, kappa: 0.6694, kb_relative_information_score: 1798.9281, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9389, predictive_accuracy: 0.9353, prior_entropy: 0.5848, recall: 0.9353, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.6117, scimark_benchmark: 1277.7781, usercpu_time_millis: 339.928, usercpu_time_millis_testing: 22.499, usercpu_time_millis_training: 317.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9668, kappa: 0.8565, kb_relative_information_score: 2280.1658, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4731, scimark_benchmark: 1289.9766, usercpu_time_millis: 359.625, usercpu_time_millis_testing: 11.641, usercpu_time_millis_training: 347.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9651, kappa: 0.8488, kb_relative_information_score: 2212.9884, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9672, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.4886, scimark_benchmark: 1288.3937, usercpu_time_millis: 871.753, usercpu_time_millis_testing: 30.6, usercpu_time_millis_training: 841.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9644, kappa: 0.8455, kb_relative_information_score: 2262.2875, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4833, scimark_benchmark: 1287.4836, usercpu_time_millis: 498.617, usercpu_time_millis_testing: 20.114, usercpu_time_millis_training: 478.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9726, kappa: 0.8831, kb_relative_information_score: 2396.9882, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4442, scimark_benchmark: 1302.9798, usercpu_time_millis: 598.629, usercpu_time_millis_testing: 14.741, usercpu_time_millis_training: 583.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9596, kappa: 0.8238, kb_relative_information_score: 2130.8962, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5101, scimark_benchmark: 1283.8893, usercpu_time_millis: 375.793, usercpu_time_millis_testing: 11.103, usercpu_time_millis_training: 364.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9699, kappa: 0.8706, kb_relative_information_score: 2363.8522, mean_absolute_error: 0.0701, 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: 0.2909, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4562, scimark_benchmark: 1292.6613, usercpu_time_millis: 722.914, usercpu_time_millis_testing: 21.725, usercpu_time_millis_training: 701.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7982, kappa: 0.0149, kb_relative_information_score: 737.8566, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8805, predictive_accuracy: 0.8612, prior_entropy: 0.5848, recall: 0.8612, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8718, scimark_benchmark: 1283.4463, usercpu_time_millis: 30.862, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 28.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9466, kappa: 0.763, kb_relative_information_score: 2046.4865, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9528, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5586, scimark_benchmark: 1279.0451, usercpu_time_millis: 307.481, usercpu_time_millis_testing: 19.283, usercpu_time_millis_training: 288.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9584, kappa: 0.8179, kb_relative_information_score: 2140.1498, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9621, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.512, scimark_benchmark: 1302.07, usercpu_time_millis: 531.991, usercpu_time_millis_testing: 21.514, usercpu_time_millis_training: 510.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9735, kappa: 0.8868, kb_relative_information_score: 2420.2167, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4389, scimark_benchmark: 1289.0405, usercpu_time_millis: 237.014, usercpu_time_millis_testing: 7.596, usercpu_time_millis_training: 229.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.971, kappa: 0.8758, kb_relative_information_score: 2373.8476, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.4528, scimark_benchmark: 1301.5459, usercpu_time_millis: 587.31, usercpu_time_millis_testing: 16.901, usercpu_time_millis_training: 570.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9243, kappa: 0.6557, kb_relative_information_score: 1775.4516, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.937, predictive_accuracy: 0.9332, prior_entropy: 0.5848, recall: 0.9332, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.6233, scimark_benchmark: 1277.9433, usercpu_time_millis: 279.609, usercpu_time_millis_testing: 21.492, usercpu_time_millis_training: 258.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9517, kappa: 0.7868, kb_relative_information_score: 2085.2441, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9567, predictive_accuracy: 0.9552, prior_entropy: 0.5848, recall: 0.9552, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5388, scimark_benchmark: 1288.3192, usercpu_time_millis: 304.958, usercpu_time_millis_testing: 18.431, usercpu_time_millis_training: 286.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.7975, kappa: 0.0112, kb_relative_information_score: 726.7005, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8803, predictive_accuracy: 0.8609, prior_entropy: 0.5848, recall: 0.8609, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8749, scimark_benchmark: 1298.9749, usercpu_time_millis: 128.889, usercpu_time_millis_testing: 10.598, usercpu_time_millis_training: 118.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9617, kappa: 0.833, kb_relative_information_score: 2168.8096, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5014, scimark_benchmark: 1300.1992, usercpu_time_millis: 635.556, usercpu_time_millis_testing: 22.356, usercpu_time_millis_training: 613.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.961, kappa: 0.8298, kb_relative_information_score: 2140.9806, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5061, scimark_benchmark: 1284.1319, usercpu_time_millis: 742.7, usercpu_time_millis_testing: 19.483, usercpu_time_millis_training: 723.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9688, kappa: 0.8656, kb_relative_information_score: 2293.024, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4708, scimark_benchmark: 1279.2333, usercpu_time_millis: 888.321, usercpu_time_millis_testing: 29.289, usercpu_time_millis_training: 859.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9695, kappa: 0.8688, kb_relative_information_score: 2301.4356, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.4695, scimark_benchmark: 1295.5345, usercpu_time_millis: 369.536, usercpu_time_millis_testing: 12.541, usercpu_time_millis_training: 356.995,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9556, kappa: 0.805, kb_relative_information_score: 2207.3681, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.5196, scimark_benchmark: 1293.8696, usercpu_time_millis: 168.184, usercpu_time_millis_testing: 8.976, usercpu_time_millis_training: 159.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9553, kappa: 0.8033, kb_relative_information_score: 2111.6067, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5239, scimark_benchmark: 1291.9496, usercpu_time_millis: 171.457, usercpu_time_millis_testing: 9.63, usercpu_time_millis_training: 161.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9681, kappa: 0.8623, kb_relative_information_score: 2324.4647, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.4692, scimark_benchmark: 1278.0251, usercpu_time_millis: 769.214, usercpu_time_millis_testing: 27.136, usercpu_time_millis_training: 742.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9685, kappa: 0.8641, kb_relative_information_score: 2303.6589, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9701, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4685, scimark_benchmark: 1294.9857, usercpu_time_millis: 431.008, usercpu_time_millis_testing: 15.769, usercpu_time_millis_training: 415.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9574, kappa: 0.8131, kb_relative_information_score: 2132.9201, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5159, scimark_benchmark: 1294.6163, usercpu_time_millis: 568.384, usercpu_time_millis_testing: 26.512, usercpu_time_millis_training: 541.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9699, kappa: 0.8706, kb_relative_information_score: 2331.5518, mean_absolute_error: 0.0721, 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: 0.2994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4601, scimark_benchmark: 1275.3263, usercpu_time_millis: 1313.89, usercpu_time_millis_testing: 30.983, usercpu_time_millis_training: 1282.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9746, kappa: 0.8918, kb_relative_information_score: 2424.8632, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4376, scimark_benchmark: 1285.8524, usercpu_time_millis: 1470.749, usercpu_time_millis_testing: 22.954, usercpu_time_millis_training: 1447.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9231, kappa: 0.6498, kb_relative_information_score: 1736.4941, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9362, predictive_accuracy: 0.9323, prior_entropy: 0.5848, recall: 0.9323, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.629, scimark_benchmark: 1301.2245, usercpu_time_millis: 142.998, usercpu_time_millis_testing: 10.913, usercpu_time_millis_training: 132.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2434.5113, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.436, scimark_benchmark: 1297.0997, usercpu_time_millis: 1304.069, usercpu_time_millis_testing: 27.847, usercpu_time_millis_training: 1276.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9623, kappa: 0.8361, kb_relative_information_score: 2219.5, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.965, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.493, scimark_benchmark: 1295.0586, usercpu_time_millis: 136.46, usercpu_time_millis_testing: 7.654, usercpu_time_millis_training: 128.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8654, kappa: 0.3587, kb_relative_information_score: 1149.5228, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9048, predictive_accuracy: 0.8942, prior_entropy: 0.5848, recall: 0.8942, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.7794, scimark_benchmark: 1283.0201, usercpu_time_millis: 101.248, usercpu_time_millis_testing: 10.447, usercpu_time_millis_training: 90.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9506, kappa: 0.7817, kb_relative_information_score: 2033.6973, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9543, prior_entropy: 0.5848, recall: 0.9543, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.5496, scimark_benchmark: 1293.8798, usercpu_time_millis: 72.446, usercpu_time_millis_testing: 5.726, usercpu_time_millis_training: 66.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9702, kappa: 0.8718, kb_relative_information_score: 2285.0165, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4676, scimark_benchmark: 1284.0892, usercpu_time_millis: 643.648, usercpu_time_millis_testing: 16.73, usercpu_time_millis_training: 626.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9648, kappa: 0.8476, kb_relative_information_score: 2269.319, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.5848, recall: 0.9665, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4844, scimark_benchmark: 1292.8032, usercpu_time_millis: 31.487, usercpu_time_millis_testing: 3.051, usercpu_time_millis_training: 28.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9556, kappa: 0.805, kb_relative_information_score: 2129.813, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5201, scimark_benchmark: 1288.4418, usercpu_time_millis: 86.887, usercpu_time_millis_testing: 5.815, usercpu_time_millis_training: 81.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.956, kappa: 0.8066, kb_relative_information_score: 2134.6401, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5165, scimark_benchmark: 1305.5313, usercpu_time_millis: 152.106, usercpu_time_millis_testing: 8.328, usercpu_time_millis_training: 143.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9702, kappa: 0.8718, kb_relative_information_score: 2338.482, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4582, scimark_benchmark: 1298.2173, usercpu_time_millis: 415.932, usercpu_time_millis_testing: 11.776, usercpu_time_millis_training: 404.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9679, kappa: 0.8613, kb_relative_information_score: 2242.8507, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4788, scimark_benchmark: 1292.1118, usercpu_time_millis: 1333.344, usercpu_time_millis_testing: 31.925, usercpu_time_millis_training: 1301.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9542, kappa: 0.7984, kb_relative_information_score: 2104.6651, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5239, scimark_benchmark: 1288.3647, usercpu_time_millis: 507.025, usercpu_time_millis_testing: 24.77, usercpu_time_millis_training: 482.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9658, kappa: 0.8516, kb_relative_information_score: 2262.762, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9679, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4788, scimark_benchmark: 1277.6595, usercpu_time_millis: 784.382, usercpu_time_millis_testing: 26.768, usercpu_time_millis_training: 757.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9605, kappa: 0.8275, kb_relative_information_score: 2157.5912, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5063, scimark_benchmark: 1264.3926, usercpu_time_millis: 658.191, usercpu_time_millis_testing: 28.885, usercpu_time_millis_training: 629.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9723, kappa: 0.8819, kb_relative_information_score: 2318.3041, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4594, scimark_benchmark: 1280.2544, usercpu_time_millis: 1521.619, usercpu_time_millis_testing: 25.624, usercpu_time_millis_training: 1495.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9749, kappa: 0.8928, kb_relative_information_score: 2439.0904, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4371, scimark_benchmark: 1279.835, usercpu_time_millis: 991.483, usercpu_time_millis_testing: 21.057, usercpu_time_millis_training: 970.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9295, kappa: 0.6809, kb_relative_information_score: 1834.5092, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9406, predictive_accuracy: 0.9372, prior_entropy: 0.5848, recall: 0.9372, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6033, scimark_benchmark: 1303.5698, usercpu_time_millis: 241.1, usercpu_time_millis_testing: 14.364, usercpu_time_millis_training: 226.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9698, kappa: 0.8701, kb_relative_information_score: 2276.2314, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.474, scimark_benchmark: 1290.3552, usercpu_time_millis: 456.621, usercpu_time_millis_testing: 14.59, usercpu_time_millis_training: 442.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.7975, kappa: 0.0112, kb_relative_information_score: 695.3127, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8803, predictive_accuracy: 0.8609, prior_entropy: 0.5848, recall: 0.8609, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.8809, scimark_benchmark: 1304.2303, usercpu_time_millis: 30.153, usercpu_time_millis_testing: 2.789, usercpu_time_millis_training: 27.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9685, kappa: 0.8641, kb_relative_information_score: 2313.9633, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9701, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.162, root_relative_squared_error: 0.467, scimark_benchmark: 1294.4453, usercpu_time_millis: 712.117, usercpu_time_millis_testing: 22.631, usercpu_time_millis_training: 689.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9315, kappa: 0.6903, kb_relative_information_score: 1839.0243, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9419, predictive_accuracy: 0.9387, prior_entropy: 0.5848, recall: 0.9387, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.209, root_relative_squared_error: 0.6024, scimark_benchmark: 1287.1268, usercpu_time_millis: 103.407, usercpu_time_millis_testing: 7.118, usercpu_time_millis_training: 96.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9369, kappa: 0.7163, kb_relative_information_score: 1886.4182, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9458, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5924, scimark_benchmark: 1288.5238, usercpu_time_millis: 71.357, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 66.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9708, kappa: 0.8743, kb_relative_information_score: 2346.3791, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9723, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4556, scimark_benchmark: 1291.8181, usercpu_time_millis: 1140.169, usercpu_time_millis_testing: 28.449, usercpu_time_millis_training: 1111.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.963, kappa: 0.8392, kb_relative_information_score: 2205.4587, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9656, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4921, scimark_benchmark: 1291.4985, usercpu_time_millis: 63.561, usercpu_time_millis_testing: 4.664, usercpu_time_millis_training: 58.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9722, kappa: 0.8809, kb_relative_information_score: 2401.4239, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4474, scimark_benchmark: 1280.2454, usercpu_time_millis: 936.167, usercpu_time_millis_testing: 24.82, usercpu_time_millis_training: 911.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9709, kappa: 0.8748, kb_relative_information_score: 2360.2493, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4548, scimark_benchmark: 1283.043, usercpu_time_millis: 420.751, usercpu_time_millis_testing: 12.829, usercpu_time_millis_training: 407.922,

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