Task
Supervised Classification on kidney

Supervised Classification on kidney

Task 3808 Supervised Classification kidney 527 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, build_cpu_time: 0.0254, build_memory: 1011178947.7895, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 47.592, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8602, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, build_cpu_time: 0.0256, build_memory: 279063269.5789, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 47.592, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8602, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0576, build_memory: 1330664713.3684, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 47.8861, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8596, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0492, build_memory: 1542176897.8947, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 47.8861, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8596, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, build_cpu_time: 0.0487, build_memory: 322996621.1579, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 47.8861, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8596, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, build_cpu_time: 0.0032, build_memory: 1802175376, f_measure: 0.8815, kappa: 0.7622, kb_relative_information_score: 54.7893, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8817, predictive_accuracy: 0.8816, prior_entropy: 0.9981, recall: 0.8816, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6772, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, build_cpu_time: 0.0169, build_memory: 1587571508.8421, f_measure: 0.9211, kappa: 0.8421, kb_relative_information_score: 61.3421, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.9224, predictive_accuracy: 0.9211, prior_entropy: 0.9981, recall: 0.9211, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5792, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, build_cpu_time: 0.0232, build_memory: 419699984.4211, f_measure: 0.7895, kappa: 0.5778, kb_relative_information_score: 35.1726, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7317, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.007, build_memory: 351941154.9474, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0049, build_memory: 1039968523.579, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 0.0016, build_memory: 528015886.3158, f_measure: 0.8418, kappa: 0.6825, kb_relative_information_score: 46.0451, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8426, predictive_accuracy: 0.8421, prior_entropy: 0.9981, recall: 0.8421, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7488, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.0088, build_memory: 133692608.8421, f_measure: 0.8685, kappa: 0.7368, kb_relative_information_score: 54.7112, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8698, predictive_accuracy: 0.8684, prior_entropy: 0.9981, recall: 0.8684, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6671, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.031, build_memory: 771391018.4211, f_measure: 0.9079, kappa: 0.816, kb_relative_information_score: 62.0722, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.9108, predictive_accuracy: 0.9079, prior_entropy: 0.9981, recall: 0.9079, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.5981, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 28.6864, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9177, scimark_benchmark: 901.0726, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6932, kappa: 0.3871, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7014, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6685, kappa: 0.3357, kb_relative_information_score: 14.2367, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6718, predictive_accuracy: 0.6711, prior_entropy: 0.9981, recall: 0.6711, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9064, scimark_benchmark: 901.0726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 31.5504, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9043, scimark_benchmark: 904.3001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.7227, kappa: 0.4435, kb_relative_information_score: 33.8326, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7239, predictive_accuracy: 0.7237, prior_entropy: 0.9981, recall: 0.7237, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0528,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, build_cpu_time: 0.1479, build_memory: 546287899.0526, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 22.3159, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9315, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, build_cpu_time: 0.0469, build_memory: 1118073110.7368, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 22.0745, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9547, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 0.0002, build_memory: 262645480, f_measure: 0.6789, kappa: 0.377, kb_relative_information_score: 25.144, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7096, predictive_accuracy: 0.6842, prior_entropy: 0.9981, recall: 0.6842, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.924, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, build_cpu_time: 0.031, build_memory: 151460532.7368, f_measure: 0.7895, kappa: 0.5778, kb_relative_information_score: 34.5372, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7472, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.0165, build_memory: 413180414.7368, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 35.1404, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7392, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.0079, build_memory: 3036275856.9474, f_measure: 0.8025, kappa: 0.6036, kb_relative_information_score: 33.1296, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8026, predictive_accuracy: 0.8026, prior_entropy: 0.9981, recall: 0.8026, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7684, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.0041, build_memory: 1237000812.4211, f_measure: 0.789, kappa: 0.5766, kb_relative_information_score: 32.5308, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7897, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7864, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 0.0125, build_memory: 338034626.1053, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.7802, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8327, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 0.0115, build_memory: 731404030.7368, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.7802, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8327, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, build_cpu_time: 0.097, build_memory: 1134670478.5263, f_measure: 0.7089, kappa: 0.4258, kb_relative_information_score: 21.9941, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7234, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9392, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.0378, build_memory: 130243172.6316, f_measure: 0.7105, kappa: 0.4227, kb_relative_information_score: 24.7725, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7145, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8341, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7501, kappa: 0.4993, kb_relative_information_score: 32.8824, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9981, recall: 0.75, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8453, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.633, kappa: 0.3342, kb_relative_information_score: 21.6945, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7455, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9405, scimark_benchmark: 934.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7632, kappa: 0.5276, kb_relative_information_score: 39.3513, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7674, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.772, scimark_benchmark: 924.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 3.7615, build_memory: 1368807881.579, f_measure: 0.7105, kappa: 0.4194, kb_relative_information_score: 27.4923, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7105, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8402, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7099, kappa: 0.4242, kb_relative_information_score: 23.5637, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7183, predictive_accuracy: 0.7105, prior_entropy: 0.9981, recall: 0.7105, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9535, scimark_benchmark: 945.7621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.7895, kappa: 0.5801, kb_relative_information_score: 43.1883, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7939, predictive_accuracy: 0.7895, prior_entropy: 0.9981, recall: 0.7895, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7692, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8158, kappa: 0.6306, kb_relative_information_score: 46.0841, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.8158, predictive_accuracy: 0.8158, prior_entropy: 0.9981, recall: 0.8158, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7803, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7633, kappa: 0.5263, kb_relative_information_score: 37.3435, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.7645, predictive_accuracy: 0.7632, prior_entropy: 0.9981, recall: 0.7632, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9385, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs