OpenML
Supervised Classification on disclosure_x_bias

Supervised Classification on disclosure_x_bias

Task 4345 Supervised Classification disclosure_x_bias 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1559, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5249, kappa: 0.0491, kb_relative_information_score: 32.8408, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5257, predictive_accuracy: 0.5278, prior_entropy: 0.9987, recall: 0.5278, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0134, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5287, kappa: 0.0562, kb_relative_information_score: 85.3922, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5292, predictive_accuracy: 0.531, prior_entropy: 0.9987, recall: 0.531, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0389, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 944.1067, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 916.0735, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5138, kappa: 0.0255, kb_relative_information_score: 45.8725, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5137, predictive_accuracy: 0.5148, prior_entropy: 0.9987, recall: 0.5148, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0447, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.549, kappa: 0.0962, kb_relative_information_score: 157.8049, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5492, predictive_accuracy: 0.5503, prior_entropy: 0.9987, recall: 0.5503, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.996, scimark_benchmark: 904.6764, usercpu_time_millis: 1620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.3633, kappa: -0.0032, kb_relative_information_score: -3.8637, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.4642, predictive_accuracy: 0.5192, prior_entropy: 0.9987, recall: 0.5192, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 941.3847, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 941.3847, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.5028, kappa: 0.0034, kb_relative_information_score: 33.7801, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5026, predictive_accuracy: 0.5033, prior_entropy: 0.9987, recall: 0.5033, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0632, scimark_benchmark: 947.1781, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1559, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5249, kappa: 0.0491, kb_relative_information_score: 32.8408, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5257, predictive_accuracy: 0.5278, prior_entropy: 0.9987, recall: 0.5278, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0134, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5287, kappa: 0.0562, kb_relative_information_score: 85.3922, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5292, predictive_accuracy: 0.531, prior_entropy: 0.9987, recall: 0.531, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0389, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 927.2882, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5007, kappa: 0.0064, kb_relative_information_score: 95.2216, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5042, predictive_accuracy: 0.5085, prior_entropy: 0.9987, recall: 0.5085, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7011, root_relative_squared_error: 1.4035, scimark_benchmark: 943.6618, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5138, kappa: 0.0255, kb_relative_information_score: 45.8725, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5137, predictive_accuracy: 0.5148, prior_entropy: 0.9987, recall: 0.5148, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0447, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.549, kappa: 0.0962, kb_relative_information_score: 157.8049, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5492, predictive_accuracy: 0.5503, prior_entropy: 0.9987, recall: 0.5503, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.996, scimark_benchmark: 934.5964, usercpu_time_millis: 1790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.1841, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.3633, kappa: -0.0032, kb_relative_information_score: -3.8637, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.4642, predictive_accuracy: 0.5192, prior_entropy: 0.9987, recall: 0.5192, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.5028, kappa: 0.0034, kb_relative_information_score: 33.7801, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5026, predictive_accuracy: 0.5033, prior_entropy: 0.9987, recall: 0.5033, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0632, scimark_benchmark: 901.4991, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5511, kappa: 0.1013, kb_relative_information_score: 78.3681, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.552, predictive_accuracy: 0.5535, prior_entropy: 0.9987, recall: 0.5535, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9956, scimark_benchmark: 943.6618, usercpu_time_millis: 570, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.5512, kappa: 0.1015, kb_relative_information_score: 79.7503, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5538, prior_entropy: 0.9987, recall: 0.5538, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9956, scimark_benchmark: 933.3455, usercpu_time_millis: 270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5536, kappa: 0.1056, kb_relative_information_score: 83.4306, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5539, predictive_accuracy: 0.5551, prior_entropy: 0.9987, recall: 0.5551, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9954, scimark_benchmark: 862.7006, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.5546, kappa: 0.1086, kb_relative_information_score: 78.6796, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5559, predictive_accuracy: 0.5574, prior_entropy: 0.9987, recall: 0.5574, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9958, scimark_benchmark: 945.0448, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.543, kappa: 0.0868, kb_relative_information_score: 79.3206, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5452, predictive_accuracy: 0.5471, prior_entropy: 0.9987, recall: 0.5471, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9963, scimark_benchmark: 919.7824, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5282, kappa: 0.0545, kb_relative_information_score: 112.6023, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5281, predictive_accuracy: 0.5282, prior_entropy: 0.9987, recall: 0.5282, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.024, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.5282, kappa: 0.0545, kb_relative_information_score: 112.6023, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4991, number_of_instances: 6620, precision: 0.5281, predictive_accuracy: 0.5282, prior_entropy: 0.9987, recall: 0.5282, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.024, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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