OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1289.7249, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1305.4551, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1280.1176, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1285.0121, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1281.4595, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1299.9114, usercpu_time_millis: 0.368, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1289.8553, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1299.7155, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1299.0768, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1308.1658, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1279.956, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1296.6762, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1299.9264, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1294.2905, usercpu_time_millis: 0.575, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.968, kappa: 0.6708, kb_relative_information_score: 2176.4474, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9674, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.7376, scimark_benchmark: 1285.3023, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1278.1255, usercpu_time_millis: 0.752, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1286.1131, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9725, kappa: 0.7222, kb_relative_information_score: 2548.1303, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.972, predictive_accuracy: 0.9733, prior_entropy: 0.3037, recall: 0.9733, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.6668, scimark_benchmark: 1300.6556, usercpu_time_millis: 0.324, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1282.848, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1301.698, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1257.4076, usercpu_time_millis: 0.309, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: 3.9937, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1293.3906, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9654, kappa: 0.6426, kb_relative_information_score: 1568.84, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9647, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6842, scimark_benchmark: 1291.5449, usercpu_time_millis: 25.715, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 25.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.965, kappa: 0.6381, kb_relative_information_score: 1568.5896, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9642, predictive_accuracy: 0.9669, prior_entropy: 0.3037, recall: 0.9669, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6844, scimark_benchmark: 1289.9457, usercpu_time_millis: 17.748, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 17.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9679, kappa: 0.6568, kb_relative_information_score: 1152.0041, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.6966, scimark_benchmark: 1316.2026, usercpu_time_millis: 4.513, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 4.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9769, kappa: 0.7631, kb_relative_information_score: 2943.99, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9769, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.3399, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5961, scimark_benchmark: 1319.3161, usercpu_time_millis: 42.686, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 42.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.9198, kb_relative_information_score: -1144.5223, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9986, scimark_benchmark: 1295.4729, usercpu_time_millis: 15.777, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 15.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1645.3754, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 1301.1333, usercpu_time_millis: 4.663, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: -1694.2418, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9709, scimark_benchmark: 1300.5986, usercpu_time_millis: 16.173, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 16.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9657, kappa: 0.6456, kb_relative_information_score: 1576.6962, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.6839, scimark_benchmark: 1311.6634, usercpu_time_millis: 21.612, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 21.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9414, kappa: 0.3018, kb_relative_information_score: 2115.1397, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.956, predictive_accuracy: 0.9558, prior_entropy: 0.3037, recall: 0.9558, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.8176, scimark_benchmark: 1269.8432, usercpu_time_millis: 8.459, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 8.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9656, kappa: 0.6442, kb_relative_information_score: 1608.5054, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.6825, scimark_benchmark: 1301.6244, usercpu_time_millis: 5.937, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 5.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9209, kappa: 0.0144, kb_relative_information_score: -1880.211, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9493, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.9575, scimark_benchmark: 1315.1162, usercpu_time_millis: 9.623, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 9.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9675, kappa: 0.6698, kb_relative_information_score: 1637.3317, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9669, predictive_accuracy: 0.9688, prior_entropy: 0.3037, recall: 0.9688, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.6778, scimark_benchmark: 1296.2151, usercpu_time_millis: 4.661, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.9198, kb_relative_information_score: -1210.8627, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0159, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9986, scimark_benchmark: 1313.001, usercpu_time_millis: 602.424, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 602.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9652, kappa: 0.6396, kb_relative_information_score: 1619.9349, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9644, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6836, scimark_benchmark: 1307.941, usercpu_time_millis: 6.794, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 6.749,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9653, kappa: 0.6397, kb_relative_information_score: 1541.2037, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6853, scimark_benchmark: 1282.0639, usercpu_time_millis: 81.676, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 81.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.9244, kappa: 0.0682, kb_relative_information_score: -1609.5963, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9383, predictive_accuracy: 0.9475, prior_entropy: 0.3037, recall: 0.9475, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.9302, scimark_benchmark: 1298.7674, usercpu_time_millis: 6.976, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 6.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.9198, kb_relative_information_score: -1251.4654, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.9977, scimark_benchmark: 1276.2223, usercpu_time_millis: 132.99, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 132.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.9249, kappa: 0.0749, kb_relative_information_score: -114.3785, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9394, predictive_accuracy: 0.9477, prior_entropy: 0.3037, recall: 0.9477, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.976, scimark_benchmark: 1295.8274, usercpu_time_millis: 157.734, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 156.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9663, kappa: 0.6543, kb_relative_information_score: 1644.3672, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9656, predictive_accuracy: 0.968, prior_entropy: 0.3037, recall: 0.968, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.6804, scimark_benchmark: 1281.0242, usercpu_time_millis: 4.9, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 4.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.9198, kb_relative_information_score: -1143.2084, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.9985, scimark_benchmark: 1306.4848, usercpu_time_millis: 21.023, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 20.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9422, kappa: 0.3459, kb_relative_information_score: 481.5687, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9417, predictive_accuracy: 0.9521, prior_entropy: 0.3037, recall: 0.9521, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.8536, scimark_benchmark: 1307.6041, usercpu_time_millis: 8.469, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 8.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9828, kappa: 0.8323, kb_relative_information_score: 3063.9041, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.508, scimark_benchmark: 1318.163, usercpu_time_millis: 9.043, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 8.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9658, kappa: 0.6457, kb_relative_information_score: 1578.5125, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9651, predictive_accuracy: 0.9678, prior_entropy: 0.3037, recall: 0.9678, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.684, scimark_benchmark: 1322.3329, usercpu_time_millis: 10.267, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 10.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.9198, kb_relative_information_score: -1150.2141, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9984, scimark_benchmark: 1321.7286, usercpu_time_millis: 27.009, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 26.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9656, kappa: 0.6442, kb_relative_information_score: 1608.639, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9649, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.6821, scimark_benchmark: 1315.8897, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 5.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9804, kappa: 0.8114, kb_relative_information_score: 2951.388, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9809, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.5279, scimark_benchmark: 1318.6484, usercpu_time_millis: 8.959, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 8.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9507, kappa: 0.4403, kb_relative_information_score: 952.8377, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9544, predictive_accuracy: 0.9593, prior_entropy: 0.3037, recall: 0.9593, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.7991, scimark_benchmark: 1301.5804, usercpu_time_millis: 52.816, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 52.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9771, kappa: 0.7639, kb_relative_information_score: 2820.8644, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9771, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.134, root_relative_squared_error: 0.593, scimark_benchmark: 1317.2216, usercpu_time_millis: 14.091, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 13.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9439, kappa: 0.3698, kb_relative_information_score: 640.819, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9433, predictive_accuracy: 0.9529, prior_entropy: 0.3037, recall: 0.9529, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.8511, scimark_benchmark: 1319.4735, usercpu_time_millis: 14.572, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 14.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.9198, kb_relative_information_score: -1253.308, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.998, scimark_benchmark: 1300.6975, usercpu_time_millis: 256.397, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 256.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.975, kappa: 0.7382, kb_relative_information_score: 2768.8404, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9756, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6126, scimark_benchmark: 1319.3977, usercpu_time_millis: 9.524, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 9.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9416, kappa: 0.3369, kb_relative_information_score: 640.3034, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9409, predictive_accuracy: 0.9516, prior_entropy: 0.3037, recall: 0.9516, relative_absolute_error: 0.7189, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8564, scimark_benchmark: 1315.2572, usercpu_time_millis: 10.182, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 10.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9438, kappa: 0.3667, kb_relative_information_score: 358.0591, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9432, predictive_accuracy: 0.9529, prior_entropy: 0.3037, recall: 0.9529, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.8531, scimark_benchmark: 1317.1824, usercpu_time_millis: 6.722, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 6.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9651, kappa: 0.6382, kb_relative_information_score: 1599.2063, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9644, predictive_accuracy: 0.9671, prior_entropy: 0.3037, recall: 0.9671, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.6845, scimark_benchmark: 1317.4441, usercpu_time_millis: 8.763, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 8.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9837, kappa: 0.8348, kb_relative_information_score: 3375.907, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5061, scimark_benchmark: 1295.5364, usercpu_time_millis: 14.639, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 14.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.969, kappa: 0.6914, kb_relative_information_score: 1592.3606, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.6766, scimark_benchmark: 1292.1617, usercpu_time_millis: 4.589, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 4.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.9198, kb_relative_information_score: -1146.1468, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9984, scimark_benchmark: 1323.7492, usercpu_time_millis: 33.841, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 33.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9787, kappa: 0.7918, kb_relative_information_score: 2095.1424, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.5632, scimark_benchmark: 1320.7883, usercpu_time_millis: 8.384, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 8.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9653, kappa: 0.6412, kb_relative_information_score: 1551.2888, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9646, predictive_accuracy: 0.9673, prior_entropy: 0.3037, recall: 0.9673, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6848, scimark_benchmark: 1296.6215, usercpu_time_millis: 126.718, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 126.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9419, kappa: 0.3414, kb_relative_information_score: 606.425, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9413, predictive_accuracy: 0.9519, prior_entropy: 0.3037, recall: 0.9519, relative_absolute_error: 0.7222, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8557, scimark_benchmark: 1304.8392, usercpu_time_millis: 15.81, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 15.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9699, kappa: 0.7008, kb_relative_information_score: 1640.2078, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6758, scimark_benchmark: 1292.8263, usercpu_time_millis: 4.407, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 4.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9617, kappa: 0.5815, kb_relative_information_score: 1092.6178, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9632, predictive_accuracy: 0.9663, prior_entropy: 0.3037, recall: 0.9663, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.741, scimark_benchmark: 1310.8018, usercpu_time_millis: 4.344, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 4.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9216, kappa: 0.0276, kb_relative_information_score: -1864.2979, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9317, predictive_accuracy: 0.9465, prior_entropy: 0.3037, recall: 0.9465, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.9495, scimark_benchmark: 1323.1669, usercpu_time_millis: 8.616, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 8.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9469, kappa: 0.3908, kb_relative_information_score: 780.1705, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9506, predictive_accuracy: 0.9568, prior_entropy: 0.3037, recall: 0.9568, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.185, root_relative_squared_error: 0.819, scimark_benchmark: 1316.6625, usercpu_time_millis: 39.79, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 39.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9696, kappa: 0.6982, kb_relative_information_score: 1646.3122, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9693, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.6756, scimark_benchmark: 1310.4893, usercpu_time_millis: 4.432, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 4.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9685, kappa: 0.6646, kb_relative_information_score: 2188.6687, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.691, scimark_benchmark: 1319.8748, usercpu_time_millis: 73.819, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 73.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9691, kappa: 0.6929, kb_relative_information_score: 1585.2511, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9687, predictive_accuracy: 0.9696, prior_entropy: 0.3037, recall: 0.9696, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6759, scimark_benchmark: 1296.6787, usercpu_time_millis: 4.165, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 4.111,

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