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OpenML
Task
Supervised Classification on sleuth_ex2015

Supervised Classification on sleuth_ex2015

Task 3576 Supervised Classification sleuth_ex2015 492 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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Metric:

492 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.5982, kappa: 0.2, kb_relative_information_score: 5.5081, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.0957, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7128, kappa: 0.4333, kb_relative_information_score: 26, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7291, predictive_accuracy: 0.7167, prior_entropy: 1, recall: 0.7167, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0646, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.6476, kappa: 0.3, kb_relative_information_score: 18, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6543, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1832, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7833, kappa: 0.5667, kb_relative_information_score: 34, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7836, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9309, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.6825, kappa: 0.3667, kb_relative_information_score: 15.543, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6852, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8972, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5165, kappa: 0.0333, kb_relative_information_score: 2, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5167, predictive_accuracy: 0.5167, prior_entropy: 1, recall: 0.5167, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.3904, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 16.0911, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9851, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 9.4261, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1066.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5489, kappa: 0.1, kb_relative_information_score: 6, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5505, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3416, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.5804, kappa: 0.1667, kb_relative_information_score: 8.3804, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5857, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.0567, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.6317, kappa: 0.2667, kb_relative_information_score: 9.6713, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6357, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0175, scimark_benchmark: 1354.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5996, kappa: 0.2, kb_relative_information_score: 12, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6004, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.4872, kappa: 0.1, kb_relative_information_score: 6, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.598, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3416, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6652, kappa: 0.3333, kb_relative_information_score: 19.4839, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6697, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1095, scimark_benchmark: 922.9039, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5647, kappa: 0.1333, kb_relative_information_score: 5.9898, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5679, predictive_accuracy: 0.5667, prior_entropy: 1, recall: 0.5667, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1092, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.614, kappa: 0.2333, kb_relative_information_score: 14, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.62, predictive_accuracy: 0.6167, prior_entropy: 1, recall: 0.6167, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2383, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.6114, kappa: 0.2333, kb_relative_information_score: 14, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6234, predictive_accuracy: 0.6167, prior_entropy: 1, recall: 0.6167, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6191, root_relative_squared_error: 1.2383, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5982, kappa: 0.2, kb_relative_information_score: 9.586, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6018, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0786, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7483, kappa: 0.5, kb_relative_information_score: 29.6818, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7571, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9503, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 32.7365, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8973, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7494, kappa: 0.5, kb_relative_information_score: 27.0712, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7525, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9498, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7828, kappa: 0.5667, kb_relative_information_score: 24.8675, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7862, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7656, kappa: 0.5333, kb_relative_information_score: 23.2152, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7715, predictive_accuracy: 0.7667, prior_entropy: 1, recall: 0.7667, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8953, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6667, kappa: 0.3333, kb_relative_information_score: 19.4771, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.553, root_relative_squared_error: 1.1061, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6997, kappa: 0.4, kb_relative_information_score: 23.8367, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7009, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0494, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6667, kappa: 0.3333, kb_relative_information_score: 19.915, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0838, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.7, kappa: 0.4, kb_relative_information_score: 22.9685, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0424, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6663, kappa: 0.3333, kb_relative_information_score: 19.0986, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6674, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.544, root_relative_squared_error: 1.088, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6476, kappa: 0.3, kb_relative_information_score: 21.4063, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6543, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.065, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6663, kappa: 0.3333, kb_relative_information_score: 19.5672, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6674, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.0588, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6663, kappa: 0.3333, kb_relative_information_score: 19.3665, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6674, predictive_accuracy: 0.6667, prior_entropy: 1, recall: 0.6667, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0153, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 19.3612, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9993, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6832, kappa: 0.3667, kb_relative_information_score: 17.7307, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6835, predictive_accuracy: 0.6833, prior_entropy: 1, recall: 0.6833, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9659, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.5623, kappa: 0.1333, kb_relative_information_score: 13.9685, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.5694, predictive_accuracy: 0.5667, prior_entropy: 1, recall: 0.5667, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 943.2745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, build_cpu_time: 0.1175, build_memory: 951638956.8, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 15.4706, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.195, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, build_cpu_time: 0.2472, build_memory: 904424847.2, f_measure: 0.6333, kappa: 0.2667, kb_relative_information_score: 15.3414, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6333, predictive_accuracy: 0.6333, prior_entropy: 1, recall: 0.6333, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.2134, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, build_cpu_time: 0.4803, build_memory: 952927576.8, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 12.1088, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6306, root_relative_squared_error: 1.2612, scimark_benchmark: 937.6343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, build_cpu_time: 0.0166, build_memory: 159243022.4, f_measure: 0.6499, kappa: 0.3, kb_relative_information_score: 16.4371, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, number_of_instances: 60, precision: 0.6502, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0261, scimark_benchmark: 919.5971,
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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