OpenML
Supervised Classification on cpu

Supervised Classification on cpu

Task 3661 Supervised Classification cpu 583 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 169.6056, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4089, scimark_benchmark: 1341.5795, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9952, kappa: 0.9873, kb_relative_information_score: 194.5952, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.8205, recall: 0.9952, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.2047, scimark_benchmark: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9131, kb_relative_information_score: 182.0451, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9676, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3661, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.7534, kappa: 0.3041, kb_relative_information_score: 88.5272, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8447, predictive_accuracy: 0.8038, prior_entropy: 0.8205, recall: 0.8038, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4429, root_relative_squared_error: 1.018, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9622, kappa: 0.9013, kb_relative_information_score: 179.4175, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9635, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3862, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9762, kappa: 0.9372, kb_relative_information_score: 193.5039, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9763, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3555, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 171.4837, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5206, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1345.3152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 1327.2954, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 196.4435, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2368, scimark_benchmark: 833.3193, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1317.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9461, kappa: 0.8546, kb_relative_information_score: 142.4967, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9478, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4818, scimark_benchmark: 1351.6526, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 149.8921, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4642, scimark_benchmark: 937.1527, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.975, kb_relative_information_score: 188.5633, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9908, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2763, scimark_benchmark: 1334.2049, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9472, kappa: 0.8601, kb_relative_information_score: 174.5699, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4926, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.8897, kb_relative_information_score: 181.1621, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9595, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4298, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9713, kappa: 0.9242, kb_relative_information_score: 190.7168, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.8205, recall: 0.9713, relative_absolute_error: 0.0744, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3203, scimark_benchmark: 1268.9931, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9874, kb_relative_information_score: 204.6553, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 0.8205, recall: 0.9952, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.1567, scimark_benchmark: 1368.9272, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 206.5586, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8205, recall: 1, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0604, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 204.443, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 1, predictive_accuracy: 1, prior_entropy: 0.8205, recall: 1, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1076, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9904, kappa: 0.9747, kb_relative_information_score: 201.9546, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.8205, recall: 0.9904, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.1576, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9807, kappa: 0.9488, kb_relative_information_score: 193.5264, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.8205, recall: 0.9809, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2674, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9028, kappa: 0.7314, kb_relative_information_score: 141.5528, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9153, predictive_accuracy: 0.9091, prior_entropy: 0.8205, recall: 0.9091, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5904, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9265, kappa: 0.8018, kb_relative_information_score: 156.53, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9276, predictive_accuracy: 0.9282, prior_entropy: 0.8205, recall: 0.9282, relative_absolute_error: 0.2368, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5356, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9855, kappa: 0.9614, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9859, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.6492, kappa: 0.0279, kb_relative_information_score: 56.451, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8134, predictive_accuracy: 0.7512, prior_entropy: 0.8205, recall: 0.7512, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.1465, scimark_benchmark: 887.6719, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9418, kappa: 0.8445, kb_relative_information_score: 173.0918, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 0.8205, recall: 0.9426, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5508, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9952, kappa: 0.9873, kb_relative_information_score: 196.0513, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.8205, recall: 0.9952, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.093, root_relative_squared_error: 0.2138, scimark_benchmark: 1335.643, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8191, kappa: 0.4983, kb_relative_information_score: 106.0234, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.8252, predictive_accuracy: 0.8325, prior_entropy: 0.8205, recall: 0.8325, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9406, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 169.6056, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4089, scimark_benchmark: 1028.5889, usercpu_time_millis: 650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9098, kb_relative_information_score: 181.3508, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3696, scimark_benchmark: 1250.8301, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9121, kb_relative_information_score: 170.8545, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9668, predictive_accuracy: 0.9665, prior_entropy: 0.8205, recall: 0.9665, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3616, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.976, kappa: 0.9364, kb_relative_information_score: 192.565, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.8205, recall: 0.9761, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.3396, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9189, kappa: 0.7865, kb_relative_information_score: 148.9851, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9192, predictive_accuracy: 0.9187, prior_entropy: 0.8205, recall: 0.9187, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.6066, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9465, kappa: 0.8565, kb_relative_information_score: 169.0785, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8205, recall: 0.9474, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.5158, scimark_benchmark: 1327.6929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9565, kappa: 0.8841, kb_relative_information_score: 181.8398, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9566, predictive_accuracy: 0.9569, prior_entropy: 0.8205, recall: 0.9569, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.477, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.924, kappa: 0.7909, kb_relative_information_score: 164.3437, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9345, predictive_accuracy: 0.9282, prior_entropy: 0.8205, recall: 0.9282, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6158, scimark_benchmark: 1308.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9522, kappa: 0.8736, kb_relative_information_score: 173.5155, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.8205, recall: 0.9522, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4991, scimark_benchmark: 1465.2979,

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