OpenML
Supervised Classification on 2dplanes

Supervised Classification on 2dplanes

Task 3593 Supervised Classification 2dplanes 374 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9193, kappa: 0.8387, kb_relative_information_score: 32308.3614, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9195, predictive_accuracy: 0.9193, prior_entropy: 1, recall: 0.9193, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4724, scimark_benchmark: 1838.8826, usercpu_time_millis: 1060.8068, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 1045.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9153, kappa: 0.8306, kb_relative_information_score: 32577.7798, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9155, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5345, scimark_benchmark: 1838.8826, usercpu_time_millis: 92336.9919, usercpu_time_millis_testing: 92336.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 974.2014, usercpu_time_millis: 17430, usercpu_time_millis_testing: 2780, usercpu_time_millis_training: 14650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9297, kappa: 0.8593, kb_relative_information_score: 33592.9201, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9297, predictive_accuracy: 0.9297, prior_entropy: 1, recall: 0.9297, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4353, scimark_benchmark: 819.5729, usercpu_time_millis: 880, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 900, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 941.6675, usercpu_time_millis: 670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8409, kappa: 0.6818, kb_relative_information_score: 19988.0213, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8409, predictive_accuracy: 0.8409, prior_entropy: 1, recall: 0.8409, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 941.6675, usercpu_time_millis: 390, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 931.771, usercpu_time_millis: 153030, usercpu_time_millis_testing: 45760, usercpu_time_millis_training: 107270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 936.3373, usercpu_time_millis: 4760, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 974.2014, usercpu_time_millis: 670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8816, kappa: 0.7632, kb_relative_information_score: 23024.1882, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 1, recall: 0.8816, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6103, scimark_benchmark: 938.191, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: 71.8169, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8611, kb_relative_information_score: 35105.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9077, kappa: 0.8155, kb_relative_information_score: 33131.7456, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.908, predictive_accuracy: 0.9077, prior_entropy: 1, recall: 0.9077, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5803,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643325/Run_1847330_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Problem getting URL, status 404: https://www.openml.org/data/v1/download/4643415/Run_1847375_description.xml?api_key=48830dd663e41d5cb689016a072e6ec1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6561, kappa: 0.3122, kb_relative_information_score: 5983.6589, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.6561, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9244, scimark_benchmark: 889.3151, usercpu_time_millis: 300, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8332, kappa: 0.6664, kb_relative_information_score: 18256.4018, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 1, recall: 0.8332, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7081, scimark_benchmark: 1360.5374, usercpu_time_millis: 420, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33644.7358, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4442, scimark_benchmark: 1319.9043, usercpu_time_millis: 1030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30230.0407, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 1250.8301, usercpu_time_millis: 4910, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 4670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 24665.9275, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8888, scimark_benchmark: 1351.788, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9308, kappa: 0.8617, kb_relative_information_score: 33566.6076, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 1, recall: 0.9308, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4416, scimark_benchmark: 1354.2491, usercpu_time_millis: 11960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.8029, kappa: 0.6112, kb_relative_information_score: 24923.9287, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8239, predictive_accuracy: 0.8057, prior_entropy: 1, recall: 0.8057, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8816, scimark_benchmark: 1312.3073, usercpu_time_millis: 2740, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 23044.7672, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6805, scimark_benchmark: 923.6051, usercpu_time_millis: 1010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9129, kappa: 0.8257, kb_relative_information_score: 28988.9282, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1, recall: 0.9129, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.513, scimark_benchmark: 1315.4655, usercpu_time_millis: 520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9232, kappa: 0.8465, kb_relative_information_score: 31038.1085, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9234, predictive_accuracy: 0.9232, prior_entropy: 1, recall: 0.9232, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4661, scimark_benchmark: 1370.6464, usercpu_time_millis: 2980, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9306, kappa: 0.8613, kb_relative_information_score: 35111.9745, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9308, predictive_accuracy: 0.9306, prior_entropy: 1, recall: 0.9306, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5268, scimark_benchmark: 1350.9691, usercpu_time_millis: 176040, usercpu_time_millis_testing: 44130, usercpu_time_millis_training: 131910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8392, kappa: 0.6783, kb_relative_information_score: 22515.2865, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8392, predictive_accuracy: 0.8392, prior_entropy: 1, recall: 0.8392, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 938.343, usercpu_time_millis: 8180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9082, kappa: 0.8164, kb_relative_information_score: 33153.0985, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9085, predictive_accuracy: 0.9082, prior_entropy: 1, recall: 0.9082, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5783, scimark_benchmark: 912.7324, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8628, kappa: 0.7256, kb_relative_information_score: 29579.9497, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8628, predictive_accuracy: 0.8628, prior_entropy: 1, recall: 0.8628, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7409, scimark_benchmark: 1325.2092, usercpu_time_millis: 2591800, usercpu_time_millis_testing: 281360, usercpu_time_millis_training: 2310440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.931, kappa: 0.862, kb_relative_information_score: 33646.9336, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 1, recall: 0.931, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 889.3151, usercpu_time_millis: 5150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9258, kappa: 0.8517, kb_relative_information_score: 31654.3252, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9259, predictive_accuracy: 0.9258, prior_entropy: 1, recall: 0.9258, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4739, scimark_benchmark: 1318.1432, usercpu_time_millis: 159430, usercpu_time_millis_testing: 159420, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8515, kappa: 0.7032, kb_relative_information_score: 22536.6882, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8524, predictive_accuracy: 0.8516, prior_entropy: 1, recall: 0.8516, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6714, scimark_benchmark: 825.5282, usercpu_time_millis: 2230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9296, kappa: 0.8592, kb_relative_information_score: 35066.6381, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9296, predictive_accuracy: 0.9296, prior_entropy: 1, recall: 0.9296, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.4975, scimark_benchmark: 1363.434, usercpu_time_millis: 163610, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 163510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 23977.1514, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6606, scimark_benchmark: 1304.9611, usercpu_time_millis: 4570, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 4490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 24004.5775, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6608, scimark_benchmark: 908.2231, usercpu_time_millis: 10720, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 10560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9311, kappa: 0.8622, kb_relative_information_score: 33665.8192, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 1, recall: 0.9311, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4374, scimark_benchmark: 933.3136, usercpu_time_millis: 6810, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9153, kappa: 0.8306, kb_relative_information_score: 32577.7798, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9155, predictive_accuracy: 0.9153, prior_entropy: 1, recall: 0.9153, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5345, scimark_benchmark: 925.4974, usercpu_time_millis: 176590, usercpu_time_millis_testing: 176580, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1358.4955, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9278, kappa: 0.8556, kb_relative_information_score: 34881.9735, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9281, predictive_accuracy: 0.9278, prior_entropy: 1, recall: 0.9278, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5374, scimark_benchmark: 1353.5686, usercpu_time_millis: 4840, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9281, kappa: 0.8562, kb_relative_information_score: 33569.1317, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9283, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4397, scimark_benchmark: 1358.4523, usercpu_time_millis: 4470, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9201, kappa: 0.8401, kb_relative_information_score: 33312.3311, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9201, predictive_accuracy: 0.9201, prior_entropy: 1, recall: 0.9201, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4841, scimark_benchmark: 1291.6995, usercpu_time_millis: 14230, usercpu_time_millis_testing: 2590, usercpu_time_millis_training: 11640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9091, kappa: 0.8182, kb_relative_information_score: 33219.6741, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9094, predictive_accuracy: 0.9091, prior_entropy: 1, recall: 0.9091, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5758, scimark_benchmark: 1361.1055, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9304, kappa: 0.8608, kb_relative_information_score: 33557.6591, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9304, predictive_accuracy: 0.9304, prior_entropy: 1, recall: 0.9304, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4496, scimark_benchmark: 1384.4418, usercpu_time_millis: 1740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.8601, kappa: 0.7227, kb_relative_information_score: 29467.9491, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8754, predictive_accuracy: 0.8614, prior_entropy: 1, recall: 0.8614, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7446, scimark_benchmark: 1287.514, usercpu_time_millis: 1900, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8372, kappa: 0.6744, kb_relative_information_score: 27493.9403, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8372, predictive_accuracy: 0.8372, prior_entropy: 1, recall: 0.8372, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.807, scimark_benchmark: 1331.6907, usercpu_time_millis: 1870, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8355, kappa: 0.6709, kb_relative_information_score: 27351.9396, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8355, predictive_accuracy: 0.8355, prior_entropy: 1, recall: 0.8355, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8113, scimark_benchmark: 1301.9956, usercpu_time_millis: 226750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 226720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9193, kappa: 0.8387, kb_relative_information_score: 32308.3614, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9195, predictive_accuracy: 0.9193, prior_entropy: 1, recall: 0.9193, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4724, scimark_benchmark: 1363.434, usercpu_time_millis: 1280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 23335.3196, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6606, scimark_benchmark: 925.4974, usercpu_time_millis: 2230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8502, kappa: 0.7005, kb_relative_information_score: 23730.0354, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8502, predictive_accuracy: 0.8502, prior_entropy: 1, recall: 0.8502, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6601, scimark_benchmark: 939.5088, usercpu_time_millis: 3660, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9165, kappa: 0.833, kb_relative_information_score: 27682.5212, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9167, predictive_accuracy: 0.9165, prior_entropy: 1, recall: 0.9165, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5147, scimark_benchmark: 885.0921, usercpu_time_millis: 3020, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8508, kappa: 0.7017, kb_relative_information_score: 24007.4923, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, recall: 0.8508, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6608, scimark_benchmark: 1304.9611, usercpu_time_millis: 19370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 19120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8826, kappa: 0.7653, kb_relative_information_score: 14475.6871, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8828, predictive_accuracy: 0.8826, prior_entropy: 1, recall: 0.8826, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7386, scimark_benchmark: 1028.5889, usercpu_time_millis: 8200, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9267, kappa: 0.8534, kb_relative_information_score: 31546.0801, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1, recall: 0.9267, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4716, scimark_benchmark: 1384.4418, usercpu_time_millis: 378720, usercpu_time_millis_testing: 378700, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9305, kappa: 0.8611, kb_relative_information_score: 33291.3157, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 1, recall: 0.9305, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4494, scimark_benchmark: 1330.7266, usercpu_time_millis: 50200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3343, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2509, predictive_accuracy: 0.5009, prior_entropy: 1, recall: 0.5009, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8042, kappa: 0.6085, kb_relative_information_score: 896.7754, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8042, predictive_accuracy: 0.8042, prior_entropy: 1, recall: 0.8042, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9847, scimark_benchmark: 929.0363, usercpu_time_millis: 250, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.895, kappa: 0.7901, kb_relative_information_score: 32209.9615, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8957, predictive_accuracy: 0.895, prior_entropy: 1, recall: 0.895, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.324, root_relative_squared_error: 0.648, scimark_benchmark: 940.0008, usercpu_time_millis: 341180, usercpu_time_millis_testing: 341170, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.93, kappa: 0.8601, kb_relative_information_score: 30465.1804, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4702, scimark_benchmark: 1339.4189, usercpu_time_millis: 5810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9299, kappa: 0.8598, kb_relative_information_score: 33494.7734, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9301, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4434, scimark_benchmark: 1356.2994, usercpu_time_millis: 560, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3324, kb_relative_information_score: -0.1836, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.2491, predictive_accuracy: 0.4991, prior_entropy: 1, recall: 0.4991, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9314, kappa: 0.8628, kb_relative_information_score: 33679.3468, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9314, predictive_accuracy: 0.9314, prior_entropy: 1, recall: 0.9314, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.218, root_relative_squared_error: 0.436, scimark_benchmark: 1334.3805, usercpu_time_millis: 23570, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 22840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.8025, kappa: 0.605, kb_relative_information_score: 16836.6072, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 1, recall: 0.8025, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7962, scimark_benchmark: 1321.7236, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,

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