OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9318, kappa: 0.8309, kb_relative_information_score: 25289.6773, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015, scimark_benchmark: 1840.7014, usercpu_time_millis: 261.959, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 260.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9484, kappa: 0.8733, kb_relative_information_score: 26949.2818, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4413, scimark_benchmark: 1066.2196, usercpu_time_millis: 369.162, usercpu_time_millis_testing: 5.225, usercpu_time_millis_training: 363.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9648, kappa: 0.9137, kb_relative_information_score: 29252.2342, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675, scimark_benchmark: 1845.7835, usercpu_time_millis: 407.079, usercpu_time_millis_testing: 3.663, usercpu_time_millis_training: 403.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9307, kappa: 0.8276, kb_relative_information_score: 24793.3918, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1371.5632, usercpu_time_millis: 1550.117, usercpu_time_millis_testing: 12.055, usercpu_time_millis_training: 1538.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29819.378, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1366.8247, usercpu_time_millis: 9893.544, usercpu_time_millis_testing: 28.139, usercpu_time_millis_training: 9865.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9553, kappa: 0.8904, kb_relative_information_score: 27838.6655, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138, scimark_benchmark: 1367.9531, usercpu_time_millis: 1279.022, usercpu_time_millis_testing: 13.032, usercpu_time_millis_training: 1265.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9292, kappa: 0.8236, kb_relative_information_score: 24733.3995, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5003, scimark_benchmark: 1363.7578, usercpu_time_millis: 908.941, usercpu_time_millis_testing: 9.627, usercpu_time_millis_training: 899.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9542, kappa: 0.8876, kb_relative_information_score: 28089.9676, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4148, scimark_benchmark: 1370.6013, usercpu_time_millis: 9879.272, usercpu_time_millis_testing: 15.559, usercpu_time_millis_training: 9863.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29443.3574, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1361.2717, usercpu_time_millis: 9673.876, usercpu_time_millis_testing: 26.042, usercpu_time_millis_training: 9647.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 30116.3536, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3459, scimark_benchmark: 1362.9398, usercpu_time_millis: 2447.994, usercpu_time_millis_testing: 5.072, usercpu_time_millis_training: 2442.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29215.8337, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3685, scimark_benchmark: 1374.812, usercpu_time_millis: 4138.38, usercpu_time_millis_testing: 23.113, usercpu_time_millis_training: 4115.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9156, kappa: 0.7876, kb_relative_information_score: 24396.0433, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9186, prior_entropy: 0.863, recall: 0.9186, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5233, scimark_benchmark: 1350.2869, usercpu_time_millis: 399.354, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9159, kappa: 0.7898, kb_relative_information_score: 16633.4643, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.918, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6428, scimark_benchmark: 1370.2944, usercpu_time_millis: 188.674, usercpu_time_millis_testing: 9.444, usercpu_time_millis_training: 179.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.2682, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.9794, usercpu_time_millis: 35.764, usercpu_time_millis_testing: 4.324, usercpu_time_millis_training: 31.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.929, kappa: 0.823, kb_relative_information_score: 25023.3724, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5014, scimark_benchmark: 1369.589, usercpu_time_millis: 905.928, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 903.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9355, kappa: 0.8401, kb_relative_information_score: 25436.1141, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4892, scimark_benchmark: 1366.8819, usercpu_time_millis: 3093.1, usercpu_time_millis_testing: 13.732, usercpu_time_millis_training: 3079.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8933, kappa: 0.7374, kb_relative_information_score: 18794.5105, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.893, predictive_accuracy: 0.8939, prior_entropy: 0.863, recall: 0.8939, relative_absolute_error: 0.4778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6175, scimark_benchmark: 1374.3062, usercpu_time_millis: 558.816, usercpu_time_millis_testing: 6.649, usercpu_time_millis_training: 552.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8165, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.5818, usercpu_time_millis: 41.75, usercpu_time_millis_testing: 5.192, usercpu_time_millis_training: 36.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9431, kappa: 0.8599, kb_relative_information_score: 26248.9251, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4597, scimark_benchmark: 1368.8511, usercpu_time_millis: 88.858, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 87.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 28649.2975, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3954, scimark_benchmark: 1369.7701, usercpu_time_millis: 3258.207, usercpu_time_millis_testing: 5.924, usercpu_time_millis_training: 3252.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9439, kappa: 0.862, kb_relative_information_score: 26620.0874, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4551, scimark_benchmark: 1360.1441, usercpu_time_millis: 697.811, usercpu_time_millis_testing: 2.38, usercpu_time_millis_training: 695.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.962, kappa: 0.9067, kb_relative_information_score: 28892.1509, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3802, scimark_benchmark: 1368.4942, usercpu_time_millis: 5767.116, usercpu_time_millis_testing: 21.58, usercpu_time_millis_training: 5745.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9348, kappa: 0.838, kb_relative_information_score: 23027.1078, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.863, recall: 0.9359, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5117, scimark_benchmark: 1367.9736, usercpu_time_millis: 155.846, usercpu_time_millis_testing: 4.338, usercpu_time_millis_training: 151.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -7.2372, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1367.2796, usercpu_time_millis: 15.481, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 14.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9549, kappa: 0.8892, kb_relative_information_score: 27858.8636, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.4141, scimark_benchmark: 1366.9282, usercpu_time_millis: 1306.259, usercpu_time_millis_testing: 12.637, usercpu_time_millis_training: 1293.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7025, kappa: 0.2424, kb_relative_information_score: 6939.1812, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8226, predictive_accuracy: 0.7665, prior_entropy: 0.863, recall: 0.7665, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8513, scimark_benchmark: 1369.8943, usercpu_time_millis: 36.267, usercpu_time_millis_testing: 4.281, usercpu_time_millis_training: 31.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9697, kappa: 0.9257, kb_relative_information_score: 30142.5791, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3407, scimark_benchmark: 1362.9317, usercpu_time_millis: 1814.035, usercpu_time_millis_testing: 6.764, usercpu_time_millis_training: 1807.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.0449, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1365.6773, usercpu_time_millis: 39.097, usercpu_time_millis_testing: 3.49, usercpu_time_millis_training: 35.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9693, kappa: 0.9248, kb_relative_information_score: 30028.1018, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3434, scimark_benchmark: 1367.0708, usercpu_time_millis: 4033.571, usercpu_time_millis_testing: 14.049, usercpu_time_millis_training: 4019.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9597, kappa: 0.901, kb_relative_information_score: 28468.2093, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1372.3027, usercpu_time_millis: 318.118, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 315.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9586, kappa: 0.8976, kb_relative_information_score: 25995.3596, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4222, scimark_benchmark: 1372.0484, usercpu_time_millis: 278.024, usercpu_time_millis_testing: 13.46, usercpu_time_millis_training: 264.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9626, kappa: 0.908, kb_relative_information_score: 28845.2256, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804, scimark_benchmark: 1367.948, usercpu_time_millis: 4170.517, usercpu_time_millis_testing: 22.54, usercpu_time_millis_training: 4147.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.3843, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1371.0457, usercpu_time_millis: 30.637, usercpu_time_millis_testing: 5.427, usercpu_time_millis_training: 25.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9559, kappa: 0.8918, kb_relative_information_score: 28099.2703, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4112, scimark_benchmark: 1376.2153, usercpu_time_millis: 2282.579, usercpu_time_millis_testing: 5.163, usercpu_time_millis_training: 2277.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9205, kappa: 0.8007, kb_relative_information_score: 24668.406, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9237, predictive_accuracy: 0.9228, prior_entropy: 0.863, recall: 0.9228, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5161, scimark_benchmark: 1369.245, usercpu_time_millis: 1628.04, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 1624.33,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9616, kappa: 0.9052, kb_relative_information_score: 26565.0255, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1357.1832, usercpu_time_millis: 345.286, usercpu_time_millis_testing: 13.566, usercpu_time_millis_training: 331.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8603, kappa: 0.6558, kb_relative_information_score: 14380.2178, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8597, predictive_accuracy: 0.8611, prior_entropy: 0.863, recall: 0.8611, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7173, scimark_benchmark: 1363.5342, usercpu_time_millis: 129.035, usercpu_time_millis_testing: 5.16, usercpu_time_millis_training: 123.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9053, kappa: 0.7654, kb_relative_information_score: 21646.9775, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9051, predictive_accuracy: 0.9064, prior_entropy: 0.863, recall: 0.9064, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5852, scimark_benchmark: 1365.8013, usercpu_time_millis: 4029.221, usercpu_time_millis_testing: 11.882, usercpu_time_millis_training: 4017.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29997.3266, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3438, scimark_benchmark: 1366.5997, usercpu_time_millis: 1266.074, usercpu_time_millis_testing: 5.279, usercpu_time_millis_training: 1260.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 27160.4741, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.444, scimark_benchmark: 1364.6361, usercpu_time_millis: 3718.96, usercpu_time_millis_testing: 8.252, usercpu_time_millis_training: 3710.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8591, kappa: 0.6538, kb_relative_information_score: 15072.1354, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.728, scimark_benchmark: 1372.6231, usercpu_time_millis: 305.398, usercpu_time_millis_testing: 9.644, usercpu_time_millis_training: 295.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9542, kappa: 0.887, kb_relative_information_score: 26822.0245, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4231, scimark_benchmark: 1366.2407, usercpu_time_millis: 230.398, usercpu_time_millis_testing: 7.808, usercpu_time_millis_training: 222.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8708, kappa: 0.6847, kb_relative_information_score: 17562.2334, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8714, predictive_accuracy: 0.8703, prior_entropy: 0.863, recall: 0.8703, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6641, scimark_benchmark: 1367.7184, usercpu_time_millis: 999.651, usercpu_time_millis_testing: 8.356, usercpu_time_millis_training: 991.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9554, kappa: 0.8907, kb_relative_information_score: 28199.9873, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4108, scimark_benchmark: 1372.9987, usercpu_time_millis: 8913.431, usercpu_time_millis_testing: 17.708, usercpu_time_millis_training: 8895.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 29919.5971, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.3474, scimark_benchmark: 1366.9729, usercpu_time_millis: 6871.447, usercpu_time_millis_testing: 20.911, usercpu_time_millis_training: 6850.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9501, kappa: 0.8777, kb_relative_information_score: 27672.8561, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4307, scimark_benchmark: 1359.5064, usercpu_time_millis: 121.662, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 121.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.923, kappa: 0.8063, kb_relative_information_score: 18659.0059, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9256, prior_entropy: 0.863, recall: 0.9256, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5947, scimark_benchmark: 1373.4391, usercpu_time_millis: 32.36, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 31.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9373, kappa: 0.8449, kb_relative_information_score: 25587.7501, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.478, scimark_benchmark: 1372.9872, usercpu_time_millis: 316.797, usercpu_time_millis_testing: 3.973, usercpu_time_millis_training: 312.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9206, kappa: 0.8007, kb_relative_information_score: 24738.2549, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9246, predictive_accuracy: 0.9231, prior_entropy: 0.863, recall: 0.9231, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5107, scimark_benchmark: 1373.5861, usercpu_time_millis: 1028.283, usercpu_time_millis_testing: 6.49, usercpu_time_millis_training: 1021.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8685, kappa: 0.6799, kb_relative_information_score: 17336.9481, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6839, scimark_benchmark: 1371.1987, usercpu_time_millis: 1132.159, usercpu_time_millis_testing: 6.821, usercpu_time_millis_training: 1125.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.933, kappa: 0.8336, kb_relative_information_score: 25243.4748, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4966, scimark_benchmark: 1373.0327, usercpu_time_millis: 2465.969, usercpu_time_millis_testing: 6.53, usercpu_time_millis_training: 2459.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9164, kappa: 0.7898, kb_relative_information_score: 23919.6247, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.921, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.5237, scimark_benchmark: 1365.5061, usercpu_time_millis: 620.469, usercpu_time_millis_testing: 9.001, usercpu_time_millis_training: 611.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9258, kappa: 0.8134, kb_relative_information_score: 18738.8503, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9282, prior_entropy: 0.863, recall: 0.9282, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5915, scimark_benchmark: 1366.5438, usercpu_time_millis: 128.505, usercpu_time_millis_testing: 7.643, usercpu_time_millis_training: 120.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29431.3014, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.362, scimark_benchmark: 1349.5171, usercpu_time_millis: 3782.96, usercpu_time_millis_testing: 12.172, usercpu_time_millis_training: 3770.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9415, kappa: 0.8555, kb_relative_information_score: 26176.867, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4664, scimark_benchmark: 1370.0931, usercpu_time_millis: 1423.783, usercpu_time_millis_testing: 16.267, usercpu_time_millis_training: 1407.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9258, kappa: 0.8145, kb_relative_information_score: 24904.98, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.928, predictive_accuracy: 0.9276, prior_entropy: 0.863, recall: 0.9276, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5117, scimark_benchmark: 1366.8431, usercpu_time_millis: 4203.273, usercpu_time_millis_testing: 8.687, usercpu_time_millis_training: 4194.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 30027.4796, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3366, scimark_benchmark: 1368.8359, usercpu_time_millis: 2965.456, usercpu_time_millis_testing: 31.111, usercpu_time_millis_training: 2934.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9262, kappa: 0.8159, kb_relative_information_score: 18813.0191, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5956, scimark_benchmark: 1356.6256, usercpu_time_millis: 18.289, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 17.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29943.9409, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568, scimark_benchmark: 1366.0107, usercpu_time_millis: 447.746, usercpu_time_millis_testing: 0.994, usercpu_time_millis_training: 446.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8607, kappa: 0.6617, kb_relative_information_score: 16910.2545, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8624, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6967, scimark_benchmark: 1368.6597, usercpu_time_millis: 456.594, usercpu_time_millis_testing: 3.631, usercpu_time_millis_training: 452.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9338, kappa: 0.8355, kb_relative_information_score: 24829.8894, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924, scimark_benchmark: 1374.4578, usercpu_time_millis: 1041.85, usercpu_time_millis_testing: 11.488, usercpu_time_millis_training: 1030.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9262, kappa: 0.8157, kb_relative_information_score: 18604.1126, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5994, scimark_benchmark: 1367.0437, usercpu_time_millis: 30.031, usercpu_time_millis_testing: 1.481, usercpu_time_millis_training: 28.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9208, kappa: 0.8015, kb_relative_information_score: 24760.8481, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9231, prior_entropy: 0.863, recall: 0.9231, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162, scimark_benchmark: 1363.88, usercpu_time_millis: 922.091, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 920.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9537, kappa: 0.8863, kb_relative_information_score: 27747.117, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4212, scimark_benchmark: 1719.131, usercpu_time_millis: 1441.948, usercpu_time_millis_testing: 8.221, usercpu_time_millis_training: 1433.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9307, kappa: 0.8274, kb_relative_information_score: 25155.8203, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.863, recall: 0.9321, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5009, scimark_benchmark: 1366.6762, usercpu_time_millis: 3158.458, usercpu_time_millis_testing: 16.037, usercpu_time_millis_training: 3142.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9179, kappa: 0.7935, kb_relative_information_score: 24384.7, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.5172, scimark_benchmark: 1367.9801, usercpu_time_millis: 363.367, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 361.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9691, kappa: 0.9241, kb_relative_information_score: 29882.0022, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.347, scimark_benchmark: 1373.6472, usercpu_time_millis: 7887.015, usercpu_time_millis_testing: 22.308, usercpu_time_millis_training: 7864.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9437, kappa: 0.861, kb_relative_information_score: 26430.5593, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4592, scimark_benchmark: 1368.0313, usercpu_time_millis: 1324.897, usercpu_time_millis_testing: 14.057, usercpu_time_millis_training: 1310.84,

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