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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on fri_c2_250_5

Supervised Classification on fri_c2_250_5

Task 3774 Supervised Classification fri_c2_250_5 638 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
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Metric:

638 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.1381, build_memory: 447202000, f_measure: 0.9117, kappa: 0.8204, kb_relative_information_score: 203.4168, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9125, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5649, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, build_cpu_time: 0.0996, build_memory: 302098440, f_measure: 0.9117, kappa: 0.8204, kb_relative_information_score: 203.2261, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9125, predictive_accuracy: 0.912, prior_entropy: 0.9898, recall: 0.912, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5719, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.078, build_memory: 622239912.8, f_measure: 0.8996, kappa: 0.7957, kb_relative_information_score: 199.1072, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5914, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, build_cpu_time: 0.044, build_memory: 1118999756.8, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 192.8548, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6376, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 0.0241, build_memory: 987529358.4, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 194.0355, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6503, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.0518, build_memory: 694416116, f_measure: 0.8917, kappa: 0.7798, kb_relative_information_score: 193.665, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6549, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.1487, build_memory: 1596295769.6, f_measure: 0.8874, kappa: 0.7709, kb_relative_information_score: 192.5875, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6718, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1867, build_memory: 1627886824.8, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 195.8575, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6514, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 0.3699, build_memory: 2768979032, f_measure: 0.8878, kappa: 0.7718, kb_relative_information_score: 192.5522, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9898, recall: 0.888, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6736, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 0.0144, build_memory: 224409458.4, f_measure: 0.8202, kappa: 0.6358, kb_relative_information_score: 157.0608, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.851, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 0.0072, build_memory: 594179400, f_measure: 0.8202, kappa: 0.6358, kb_relative_information_score: 157.0608, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.851, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, build_cpu_time: 0.0804, build_memory: 193876364.8, f_measure: 0.8717, kappa: 0.7392, kb_relative_information_score: 186.2564, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6173, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.638, build_memory: 916370630.4, f_measure: 0.8996, kappa: 0.7957, kb_relative_information_score: 198.1156, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9006, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6354, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, build_cpu_time: 0.3348, build_memory: 936514648.8, f_measure: 0.9037, kappa: 0.8041, kb_relative_information_score: 200.9109, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9044, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6138, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, build_cpu_time: 0.2032, build_memory: 1998517511.2, f_measure: 0.8994, kappa: 0.7953, kb_relative_information_score: 197.8329, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9013, predictive_accuracy: 0.9, prior_entropy: 0.9898, recall: 0.9, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6288, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, build_cpu_time: 0.0978, build_memory: 209207632.8, f_measure: 0.8915, kappa: 0.7793, kb_relative_information_score: 190.7689, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6261, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, build_cpu_time: 0.1986, build_memory: 944070484, f_measure: 0.737, kappa: 0.4715, kb_relative_information_score: 76.342, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7425, predictive_accuracy: 0.736, prior_entropy: 0.9898, recall: 0.736, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8817, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.097, build_memory: 1260141221.6, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 196.1972, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6113, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.001, build_memory: 1100890424, f_measure: 0.8398, kappa: 0.6747, kb_relative_information_score: 140.549, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7156, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, build_cpu_time: 0.0009, build_memory: 1373988872, f_measure: 0.8398, kappa: 0.6747, kb_relative_information_score: 140.549, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9898, recall: 0.84, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7156, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0544, build_memory: 781946447.2, f_measure: 0.8955, kappa: 0.7873, kb_relative_information_score: 174.7822, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.529, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, build_cpu_time: 0.0048, build_memory: 1115898392, f_measure: 0.8672, kappa: 0.7298, kb_relative_information_score: 162.9635, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9898, recall: 0.868, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.702, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, build_cpu_time: 0.0001, build_memory: 398149768, f_measure: 0.8202, kappa: 0.6358, kb_relative_information_score: 157.0608, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8207, predictive_accuracy: 0.82, prior_entropy: 0.9898, recall: 0.82, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.851, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0191, build_memory: 970437516, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, build_cpu_time: 0.0057, build_memory: 1523124056, f_measure: 0.7648, kappa: 0.5271, kb_relative_information_score: 129.5092, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7698, predictive_accuracy: 0.764, prior_entropy: 0.9898, recall: 0.764, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9787, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, build_cpu_time: 0.0101, build_memory: 37750913.6, f_measure: 0.7566, kappa: 0.5157, kb_relative_information_score: 125.4262, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7701, predictive_accuracy: 0.756, prior_entropy: 0.9898, recall: 0.756, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9951, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, build_cpu_time: 0.0024, build_memory: 72862579.2, f_measure: 0.6805, kappa: 0.3532, kb_relative_information_score: 68.1142, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6814, predictive_accuracy: 0.68, prior_entropy: 0.9898, recall: 0.68, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8773, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, build_cpu_time: 0.0056, build_memory: 846478232, f_measure: 0.8755, kappa: 0.7466, kb_relative_information_score: 157.6791, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9898, recall: 0.876, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6139, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 0.0088, build_memory: 1182240424, f_measure: 0.8359, kappa: 0.6669, kb_relative_information_score: 124.321, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9898, recall: 0.836, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7391, scimark_benchmark: 933.0871,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, build_cpu_time: 0.0371, build_memory: 863226408, f_measure: 0.733, kappa: 0.463, kb_relative_information_score: 113.1771, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7379, predictive_accuracy: 0.732, prior_entropy: 0.9898, recall: 0.732, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0429, scimark_benchmark: 931.4894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, build_cpu_time: 0.1173, build_memory: 318963765.6, f_measure: 0.8917, kappa: 0.7798, kb_relative_information_score: 193.7467, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6567, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, build_cpu_time: 0.0596, build_memory: 244772733.6, f_measure: 0.8796, kappa: 0.7551, kb_relative_information_score: 189.2999, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6638, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 0.8295, build_memory: 81352600, f_measure: 0.8915, kappa: 0.7793, kb_relative_information_score: 167.574, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5719, scimark_benchmark: 935.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, build_cpu_time: 0.1855, build_memory: 491879258.4, f_measure: 0.8956, kappa: 0.7877, kb_relative_information_score: 173.8651, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8963, predictive_accuracy: 0.896, prior_entropy: 0.9898, recall: 0.896, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5563, scimark_benchmark: 942.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, build_cpu_time: 0.1179, build_memory: 1975250591.2, f_measure: 0.9037, kappa: 0.8041, kb_relative_information_score: 174.3112, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.9044, predictive_accuracy: 0.904, prior_entropy: 0.9898, recall: 0.904, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5555, scimark_benchmark: 937.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, build_cpu_time: 0.0646, build_memory: 3749325348, f_measure: 0.8918, kappa: 0.7802, kb_relative_information_score: 174.0278, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9898, recall: 0.892, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5617, scimark_benchmark: 932.1393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, build_cpu_time: 0.0251, build_memory: 1005383989.6, f_measure: 0.8799, kappa: 0.756, kb_relative_information_score: 175.1135, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9898, recall: 0.88, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5647, scimark_benchmark: 929.0522,

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