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OpenML
Task
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 3539 Supervised Classification prnn_crabs 546 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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546 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.96, kappa: 0.92, kb_relative_information_score: 176.5062, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 1, recall: 0.96, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.365, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 198, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1414, scimark_benchmark: 1313.9994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5726, kappa: 0.15, kb_relative_information_score: 30, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.5767, predictive_accuracy: 0.575, prior_entropy: 1, recall: 0.575, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3038, scimark_benchmark: 887.6719, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 186, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3742, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 159.2079, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.185, root_relative_squared_error: 0.37, scimark_benchmark: 924.1296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 200, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 106.0504, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 1319.6463, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 144.8751, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4692, scimark_benchmark: 1346.9602, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 152, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8806, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8649, kappa: 0.73, kb_relative_information_score: 135.3054, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8659, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6818, scimark_benchmark: 986.8456, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 164.0658, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.5462, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8046, kappa: 0.61, kb_relative_information_score: 122, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8075, predictive_accuracy: 0.805, prior_entropy: 1, recall: 0.805, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8832, scimark_benchmark: 1359.379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5691, kappa: 0.19, kb_relative_information_score: 38, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.625, predictive_accuracy: 0.595, prior_entropy: 1, recall: 0.595, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6364, root_relative_squared_error: 1.2728, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 196.8783, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1042, scimark_benchmark: 902.4773, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.92, kappa: 0.84, kb_relative_information_score: 163.6606, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5483, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6944, kappa: 0.39, kb_relative_information_score: 78, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6966, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1045, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.925, kappa: 0.85, kb_relative_information_score: 170, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5477, scimark_benchmark: 1505.597,
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: 200, 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: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 162.105, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5248, scimark_benchmark: 942.6953, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 174.3518, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3953, scimark_benchmark: 926.6717, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 171.6859, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9507, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3791, scimark_benchmark: 936.7115, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.7224, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.5053, scimark_benchmark: 894.7455, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9049, kappa: 0.81, kb_relative_information_score: 152.8093, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.906, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5662, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8099, kappa: 0.62, kb_relative_information_score: 126.4956, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7528, scimark_benchmark: 911.3823, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 115.467, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8101, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7781, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7799, kappa: 0.56, kb_relative_information_score: 97.4781, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.861, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 159.7684, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9002, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.563, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.895, kappa: 0.79, kb_relative_information_score: 152.7949, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8954, predictive_accuracy: 0.895, prior_entropy: 1, recall: 0.895, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5411, scimark_benchmark: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 140.5207, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.259, root_relative_squared_error: 0.518, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.92, kappa: 0.84, kb_relative_information_score: 118.6456, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5922, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8498, kappa: 0.7, kb_relative_information_score: 90.7882, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8523, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7081, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 200, 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: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 188.5799, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9808, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2345, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7643, kappa: 0.53, kb_relative_information_score: 67.399, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7682, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8301, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 159.3613, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9454, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4779, scimark_benchmark: 902.4773,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, build_cpu_time: 0.0372, build_memory: 1218708868.8, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 171.792, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5211, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.0753, build_memory: 758106782.4, f_measure: 0.935, kappa: 0.87, kb_relative_information_score: 173.6984, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9361, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5086, scimark_benchmark: 916.8516,
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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

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