OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 4248 Supervised Classification irish 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9848, kappa: 0.9692, kb_relative_information_score: 4692.3164, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.991, recall: 0.9848, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2072, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9854, kb_relative_information_score: 4924.1243, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.991, recall: 0.9928, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1108, scimark_benchmark: 1344.4042, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9848, kappa: 0.9692, kb_relative_information_score: 4692.3164, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.991, recall: 0.9848, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2072, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4999.6362, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 1337.7947, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 4730.8533, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2221, scimark_benchmark: 1371.9645, usercpu_time_millis: 950, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 4657.4926, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.991, recall: 0.9806, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2738, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9854, kb_relative_information_score: 4924.1243, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.991, recall: 0.9928, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1108, scimark_benchmark: 918.0213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 4657.4926, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.991, recall: 0.9806, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2738, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 4885.168, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.991, recall: 0.9976, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0943, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 4885.7647, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1719, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4909.3463, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.0992, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9479, kappa: 0.8949, kb_relative_information_score: 3880.3286, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9494, predictive_accuracy: 0.9478, prior_entropy: 0.991, recall: 0.9478, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4099, scimark_benchmark: 1312.0581, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 4885.168, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.991, recall: 0.9976, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0943, scimark_benchmark: 1327.5791, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 3053.8183, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6495, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4999.2244, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0003, scimark_benchmark: 1292.1375, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4902.9815, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1028, scimark_benchmark: 854.6529, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 3853.452, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3408, scimark_benchmark: 1351.6526, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9896, kappa: 0.979, kb_relative_information_score: 3747.921, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9898, predictive_accuracy: 0.9896, prior_entropy: 0.991, recall: 0.9896, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3705, scimark_benchmark: 1342.1678, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 4885.168, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.991, recall: 0.9976, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0943, scimark_benchmark: 1360.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4909.3463, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.0992, scimark_benchmark: 1360.2999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9894, kappa: 0.9786, kb_relative_information_score: 3757.0082, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9896, predictive_accuracy: 0.9894, prior_entropy: 0.991, recall: 0.9894, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.3671, scimark_benchmark: 1329.8902, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4999.6362, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969, scimark_benchmark: 1354.629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4976.7342, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.009, root_relative_squared_error: 0.0181, scimark_benchmark: 1343.5291, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4948.7633, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.0981, scimark_benchmark: 1308.3432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4814.9551, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1125, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 4657.4926, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.991, recall: 0.9806, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.136, root_relative_squared_error: 0.2738, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.977, kappa: 0.9535, kb_relative_information_score: 3554.1569, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 0.991, recall: 0.977, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.425, scimark_benchmark: 896.937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 4901.8004, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1802, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 4918.1808, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18, scimark_benchmark: 1345.4669, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 4924.6572, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.1301, scimark_benchmark: 1348.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 804.3609, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8818, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3973, kappa: -0.0004, kb_relative_information_score: 476.8276, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.3091, predictive_accuracy: 0.5558, prior_entropy: 0.991, recall: 0.5558, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6665, root_relative_squared_error: 1.3414, scimark_benchmark: 1313.6093, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 3046.0852, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6511, scimark_benchmark: 1305.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 4816.924, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0391, root_relative_squared_error: 0.0787, scimark_benchmark: 996.6105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0242, build_memory: 5320467923.84, f_measure: 1, kappa: 1, kb_relative_information_score: 4908.1023, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4938, number_of_instances: 5000, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.0993, scimark_benchmark: 935.8091,
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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