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OpenML
Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7807, kappa: 0.5549, kb_relative_information_score: 130.1217, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8557, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8402, kappa: 0.6756, kb_relative_information_score: 182.4355, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8031, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8246, kappa: 0.6436, kb_relative_information_score: 174.2933, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8271, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8396, scimark_benchmark: 1363.434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 178.3644, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8216, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8143, kappa: 0.6231, kb_relative_information_score: 144.2824, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8145, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7338, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7083, kappa: 0.4129, kb_relative_information_score: 109.1555, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7114, predictive_accuracy: 0.7074, prior_entropy: 0.9912, recall: 0.7074, relative_absolute_error: 0.5924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.0886, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8217, kappa: 0.6382, kb_relative_information_score: 147.8359, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7228, scimark_benchmark: 1310.3951, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8187, kappa: 0.6334, kb_relative_information_score: 142.7494, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7746, scimark_benchmark: 1073.494, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 128.9436, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8109, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7295, scimark_benchmark: 1354.2491, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7479, kappa: 0.4891, kb_relative_information_score: 131.5466, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7478, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.01, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7486, kappa: 0.4894, kb_relative_information_score: 110.3302, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.753, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.842, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7991, kappa: 0.5923, kb_relative_information_score: 128.0168, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8149, scimark_benchmark: 1066.7184, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7768, kappa: 0.547, kb_relative_information_score: 147.8311, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7773, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9487, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6224, kappa: 0.2965, kb_relative_information_score: 92.8711, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7961, predictive_accuracy: 0.6778, prior_entropy: 0.9912, recall: 0.6778, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1424, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7699, kappa: 0.5334, kb_relative_information_score: 136.7809, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7698, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9307, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7221, kappa: 0.437, kb_relative_information_score: 117.2977, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.722, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7928, kappa: 0.5807, kb_relative_information_score: 156.6721, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.793, predictive_accuracy: 0.7926, prior_entropy: 0.9912, recall: 0.7926, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8956, scimark_benchmark: 942.1229, usercpu_time_millis: 6060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8102, kappa: 0.6146, kb_relative_information_score: 166.1511, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8111, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8746, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0044, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7843, kappa: 0.5621, kb_relative_information_score: 140.5144, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7848, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8648, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8296, kappa: 0.655, kb_relative_information_score: 174.5465, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8071, scimark_benchmark: 942.6953, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8109, kappa: 0.6165, kb_relative_information_score: 152.097, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8108, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7975, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 153.4296, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.779, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 153.4296, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.779, scimark_benchmark: 939.7623, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8219, kappa: 0.6388, kb_relative_information_score: 169.4094, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8219, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7973, scimark_benchmark: 942.1229, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8479, kappa: 0.6917, kb_relative_information_score: 178.5755, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8479, predictive_accuracy: 0.8481, prior_entropy: 0.9912, recall: 0.8481, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7602, scimark_benchmark: 926.6717, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8333, kappa: 0.6622, kb_relative_information_score: 176.539, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7633, scimark_benchmark: 876.8277, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 176.9041, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8368, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.7511, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8207, kappa: 0.6358, kb_relative_information_score: 168.6244, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8237, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7741, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7735, kappa: 0.5406, kb_relative_information_score: 139.8825, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7735, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8399, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.762, kappa: 0.5168, kb_relative_information_score: 139.8519, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7623, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8056, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7707, kappa: 0.5365, kb_relative_information_score: 139.4933, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7714, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7911, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, build_cpu_time: 0.1559, build_memory: 1473786095.2, f_measure: 0.6853, kappa: 0.363, kb_relative_information_score: 96.5957, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6855, predictive_accuracy: 0.6852, prior_entropy: 0.9912, recall: 0.6852, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0822, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, build_cpu_time: 0.0814, build_memory: 284441582.4, f_measure: 0.6954, kappa: 0.3819, kb_relative_information_score: 104.3471, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6952, predictive_accuracy: 0.6963, prior_entropy: 0.9912, recall: 0.6963, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0249, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, build_cpu_time: 0.0265, build_memory: 982563413.6, f_measure: 0.7144, kappa: 0.4211, kb_relative_information_score: 105.1178, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7142, predictive_accuracy: 0.7148, prior_entropy: 0.9912, recall: 0.7148, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9881, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, build_cpu_time: 0.0137, build_memory: 665073665.6, f_measure: 0.7209, kappa: 0.4332, kb_relative_information_score: 108.0539, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7211, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.6052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9301, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, build_cpu_time: 0.037, build_memory: 917988335.2, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 153.4296, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.779, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, build_cpu_time: 0.0356, build_memory: 485244595.2, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 153.4296, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.779, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 2.3705, build_memory: 61938248.8, f_measure: 0.7295, kappa: 0.452, kb_relative_information_score: 123.1574, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7294, predictive_accuracy: 0.7296, prior_entropy: 0.9912, recall: 0.7296, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9235, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 6.5852, build_memory: 404601132, f_measure: 0.7467, kappa: 0.4857, kb_relative_information_score: 132.1545, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7474, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9529, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 10.5402, build_memory: 791983050.4, f_measure: 0.7584, kappa: 0.5096, kb_relative_information_score: 140.1, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7586, predictive_accuracy: 0.7593, prior_entropy: 0.9912, recall: 0.7593, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9318, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, build_cpu_time: 22.6751, build_memory: 452657636, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 162.114, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8634, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 49.0552, build_memory: 39985947.2, f_measure: 0.8027, kappa: 0.5995, kb_relative_information_score: 162.1503, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8752, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 22.2852, build_memory: 126977454.4, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 162.6841, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8856, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, build_cpu_time: 11.8483, build_memory: 511470923.2, f_measure: 0.7989, kappa: 0.5916, kb_relative_information_score: 160.2837, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8906, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, build_cpu_time: 5.4481, build_memory: 1475076056, f_measure: 0.7989, kappa: 0.5916, kb_relative_information_score: 159.6571, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8919, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, build_cpu_time: 2.8185, build_memory: 662430624.8, f_measure: 0.7953, kappa: 0.5844, kb_relative_information_score: 159.0149, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8961, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, build_cpu_time: 1.3404, build_memory: 335735200.8, f_measure: 0.7809, kappa: 0.5556, kb_relative_information_score: 152.1032, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8937, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, build_cpu_time: 0.2695, build_memory: 966472059.2, f_measure: 0.7855, kappa: 0.5664, kb_relative_information_score: 145.5083, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7861, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8839, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, build_cpu_time: 0.5272, build_memory: 681554807.2, f_measure: 0.7661, kappa: 0.5255, kb_relative_information_score: 143.5822, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7661, predictive_accuracy: 0.7667, prior_entropy: 0.9912, recall: 0.7667, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9204, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, build_cpu_time: 0.9995, build_memory: 2565470949.6, f_measure: 0.7768, kappa: 0.547, kb_relative_information_score: 146.9767, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7773, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.931, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, build_cpu_time: 2.0018, build_memory: 65884663.2, f_measure: 0.8072, kappa: 0.6093, kb_relative_information_score: 159.5743, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8072, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.885, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, build_cpu_time: 3.9872, build_memory: 215874372, f_measure: 0.7816, kappa: 0.5579, kb_relative_information_score: 150.2589, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7817, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.925, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 0.103, build_memory: 631061824.8, f_measure: 0.7817, kappa: 0.5586, kb_relative_information_score: 146.7067, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7822, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8609, scimark_benchmark: 920.7965,

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