Task
Supervised Classification on pollen

Supervised Classification on pollen

Task 3735 Supervised Classification pollen 1538 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 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

1538 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, build_cpu_time: 0.1164, build_memory: 1139626809.553, f_measure: 0.4945, kappa: -0.0073, kb_relative_information_score: 0.2164, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0522, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, build_cpu_time: 0.2944, build_memory: 172222168.6985, f_measure: 0.4956, kappa: -0.0083, kb_relative_information_score: 4.6355, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0414, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, build_cpu_time: 0.2802, build_memory: 194636461.9709, f_measure: 0.4956, kappa: -0.0083, kb_relative_information_score: 4.6355, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0414, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, build_cpu_time: 0.2171, build_memory: 1044938364.2911, f_measure: 0.4956, kappa: -0.0083, kb_relative_information_score: 4.6355, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0414, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, build_cpu_time: 0.8442, build_memory: 520351103.4906, f_measure: 0.4938, kappa: -0.0026, kb_relative_information_score: -0.0225, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4986, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, build_cpu_time: 0.8065, build_memory: 521327455.9605, f_measure: 0.4938, kappa: -0.0026, kb_relative_information_score: -0.0225, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4986, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, build_cpu_time: 0.8293, build_memory: 811409878.5094, f_measure: 0.4938, kappa: -0.0026, kb_relative_information_score: -0.0225, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4986, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, build_cpu_time: 0.4327, build_memory: 652039379.3347, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, build_cpu_time: 0.9225, build_memory: 560356353.3763, f_measure: 0.4806, kappa: -0.0369, kb_relative_information_score: -8.0519, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4814, predictive_accuracy: 0.4815, prior_entropy: 1, recall: 0.4815, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0025, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, build_cpu_time: 1.0706, build_memory: 774053953.6279, f_measure: 0.4852, kappa: -0.0296, kb_relative_information_score: -142.5067, mean_absolute_error: 0.5185, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4852, predictive_accuracy: 0.4852, prior_entropy: 1, recall: 0.4852, relative_absolute_error: 1.0369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6982, root_relative_squared_error: 1.3964, scimark_benchmark: 941.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, build_cpu_time: 0.0408, build_memory: 63433418.2328, f_measure: 0.4817, kappa: -0.0327, kb_relative_information_score: -8.2194, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4834, predictive_accuracy: 0.4836, prior_entropy: 1, recall: 0.4836, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 940.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, build_cpu_time: 208.0296, build_memory: 365493194.2827, f_measure: 0.4759, kappa: -0.0177, kb_relative_information_score: -0.4869, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.49, predictive_accuracy: 0.4912, prior_entropy: 1, recall: 0.4912, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4817, build_cpu_time: 410.5993, build_memory: 583845318.3077, f_measure: 0.4761, kappa: -0.0442, kb_relative_information_score: -0.3413, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4776, predictive_accuracy: 0.4779, prior_entropy: 1, recall: 0.4779, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, build_cpu_time: 0.2034, build_memory: 173321733.9252, f_measure: 0.4853, kappa: -0.0234, kb_relative_information_score: 4.2128, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.488, predictive_accuracy: 0.4883, prior_entropy: 1, recall: 0.4883, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4854, build_cpu_time: 0.0537, build_memory: 851962835.5385, f_measure: 0.4861, kappa: -0.0234, kb_relative_information_score: 4.8321, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4881, predictive_accuracy: 0.4883, prior_entropy: 1, recall: 0.4883, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, build_cpu_time: 0.0278, build_memory: 1118138313.6549, f_measure: 0.4863, kappa: -0.0218, kb_relative_information_score: 6.0917, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4888, predictive_accuracy: 0.4891, prior_entropy: 1, recall: 0.4891, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.9438, build_memory: 40500625.9522, f_measure: 0.4786, kappa: -0.0099, kb_relative_information_score: -4.2197, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4944, predictive_accuracy: 0.4951, prior_entropy: 1, recall: 0.4951, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1415, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.9815, build_memory: 70276261.9522, f_measure: 0.4786, kappa: -0.0099, kb_relative_information_score: -4.2197, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4944, predictive_accuracy: 0.4951, prior_entropy: 1, recall: 0.4951, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1415, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, build_cpu_time: 0.0118, build_memory: 964158530.368, f_measure: 0.4833, kappa: -0.0239, kb_relative_information_score: 5.9113, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4876, predictive_accuracy: 0.488, prior_entropy: 1, recall: 0.488, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, build_cpu_time: 0.007, build_memory: 2859456811.8566, f_measure: 0.4864, kappa: -0.0255, kb_relative_information_score: 3.4479, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4872, predictive_accuracy: 0.4873, prior_entropy: 1, recall: 0.4873, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, build_cpu_time: 0.0057, build_memory: 525374847.3389, f_measure: 0.4864, kappa: -0.0255, kb_relative_information_score: 3.4479, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4872, predictive_accuracy: 0.4873, prior_entropy: 1, recall: 0.4873, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, build_cpu_time: 10.0774, build_memory: 2258582640.9875, f_measure: 0.4898, kappa: -0.0172, kb_relative_information_score: -4.3491, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4913, predictive_accuracy: 0.4914, prior_entropy: 1, recall: 0.4914, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, build_cpu_time: 21.7251, build_memory: 929621640.1746, f_measure: 0.488, kappa: -0.0213, kb_relative_information_score: -1.5584, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4892, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, build_cpu_time: 42.7231, build_memory: 1781744398.4803, f_measure: 0.4882, kappa: -0.0229, kb_relative_information_score: -1.6094, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4885, predictive_accuracy: 0.4886, prior_entropy: 1, recall: 0.4886, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, build_cpu_time: 83.4378, build_memory: 189732230.3721, f_measure: 0.4952, kappa: -0.0083, kb_relative_information_score: -0.5315, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, build_cpu_time: 162.8391, build_memory: 1391740173.343, f_measure: 0.4916, kappa: -0.0156, kb_relative_information_score: -0.4837, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4922, predictive_accuracy: 0.4922, prior_entropy: 1, recall: 0.4922, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 945.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, build_cpu_time: 18.4083, build_memory: 1634704807.9335, f_measure: 0.4995, kappa: 0.001, kb_relative_information_score: 16.0264, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.548, root_relative_squared_error: 1.096, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, build_cpu_time: 9.9234, build_memory: 976620530.2931, f_measure: 0.507, kappa: 0.014, kb_relative_information_score: 20.1632, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.507, predictive_accuracy: 0.507, prior_entropy: 1, recall: 0.507, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0777, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, build_cpu_time: 4.7512, build_memory: 1206540501.7609, f_measure: 0.5043, kappa: 0.0161, kb_relative_information_score: 21.6915, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5083, predictive_accuracy: 0.5081, prior_entropy: 1, recall: 0.5081, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0599, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, build_cpu_time: 4.5771, build_memory: 1187333583.973, f_measure: 0.5043, kappa: 0.0161, kb_relative_information_score: 21.6915, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5083, predictive_accuracy: 0.5081, prior_entropy: 1, recall: 0.5081, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0599, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, build_cpu_time: 2.5087, build_memory: 931141454.0437, f_measure: 0.4994, kappa: 0.001, kb_relative_information_score: 8.0451, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5005, prior_entropy: 1, recall: 0.5005, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0505, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, build_cpu_time: 1.2851, build_memory: 846716227.42, f_measure: 0.4951, kappa: 0.0172, kb_relative_information_score: 23.5093, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5096, predictive_accuracy: 0.5086, prior_entropy: 1, recall: 0.5086, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0308, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 40.8957, build_memory: 2574631565.9231, f_measure: 0.4958, kappa: -0.0083, kb_relative_information_score: -3.871, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, recall: 0.4958, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0034, scimark_benchmark: 710.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, build_cpu_time: 56.874, build_memory: 334360735.3638, f_measure: 0.4942, kappa: -0.0114, kb_relative_information_score: -3.8588, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4943, predictive_accuracy: 0.4943, prior_entropy: 1, recall: 0.4943, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 943.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, build_cpu_time: 1.5679, build_memory: 1219552617.7568, f_measure: 0.4839, kappa: -0.0156, kb_relative_information_score: 3.1949, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4917, predictive_accuracy: 0.4922, prior_entropy: 1, recall: 0.4922, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 943.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, build_cpu_time: 0.8907, build_memory: 2112644595.6154, f_measure: 0.5002, kappa: 0.0094, kb_relative_information_score: 4.4926, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5049, predictive_accuracy: 0.5047, prior_entropy: 1, recall: 0.5047, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 895.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, build_cpu_time: 0.5484, build_memory: 4425953687.5343, f_measure: 0.4954, kappa: -0.0016, kb_relative_information_score: 3.6102, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4992, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 933.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 0.2786, build_memory: 1702105169.3618, f_measure: 0.4915, kappa: -0.0047, kb_relative_information_score: 4.5422, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4975, predictive_accuracy: 0.4977, prior_entropy: 1, recall: 0.4977, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 897.6715,

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