OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
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  • 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: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, 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: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8296, kappa: 0.655, kb_relative_information_score: 137.7732, mean_absolute_error: 0.256, 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: 0.5183, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7378, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.8022, kappa: 0.5981, kb_relative_information_score: 134.5402, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7776, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.808, kappa: 0.6139, kb_relative_information_score: 143.2249, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8117, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.733, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8224, kappa: 0.6406, kb_relative_information_score: 150.714, mean_absolute_error: 0.2273, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8226, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7477, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 140.5337, mean_absolute_error: 0.246, 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: 0.4982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7681, scimark_benchmark: 940.2922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.8193, build_cpu_time: 0.1134, build_memory: 101479270.4, f_measure: 0.7699, kappa: 0.5334, kb_relative_information_score: 146.4846, mean_absolute_error: 0.224, 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: 0.4536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9345, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, build_cpu_time: 0.3538, build_memory: 397229356.8, f_measure: 0.8104, kappa: 0.6153, kb_relative_information_score: 165.9755, mean_absolute_error: 0.1893, 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: 0.3833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8699, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.0793, build_memory: 234196629.6, f_measure: 0.7817, kappa: 0.5586, kb_relative_information_score: 147.0846, mean_absolute_error: 0.2252, 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: 0.456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.86, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 0.0809, build_memory: 348145323.2, 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: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, build_cpu_time: 0.0623, build_memory: 1753523008.8, f_measure: 0.778, kappa: 0.5507, kb_relative_information_score: 143.9275, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7782, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8554, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, build_cpu_time: 0.07, build_memory: 248842100, f_measure: 0.7765, kappa: 0.5462, kb_relative_information_score: 143.9495, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7775, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.933, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 0.1729, build_memory: 999131943.2, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 161.3977, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8897, scimark_benchmark: 919.8064,
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: 0.8416, build_cpu_time: 0.0826, build_memory: 298751077.6, 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: 945.0532,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, build_cpu_time: 0.0932, build_memory: 1598530567.2, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 156.2561, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7588, scimark_benchmark: 929.9115,
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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: 799.2185, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 17.8621, build_memory: 1384018829.6, f_measure: 0.8143, kappa: 0.6231, kb_relative_information_score: 143.5771, mean_absolute_error: 0.2413, 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: 0.4886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7207, scimark_benchmark: 909.9339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, build_cpu_time: 1.7909, build_memory: 824969840, f_measure: 0.8289, kappa: 0.6527, kb_relative_information_score: 126.4338, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8297, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.724, scimark_benchmark: 937.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 1.8275, build_memory: 1488485382.4, f_measure: 0.7886, kappa: 0.5714, kb_relative_information_score: 155.5036, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7885, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9118, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, build_cpu_time: 0.2943, build_memory: 696305612.8, f_measure: 0.8365, kappa: 0.6683, kb_relative_information_score: 159.52, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8369, predictive_accuracy: 0.837, prior_entropy: 0.9912, recall: 0.837, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7611, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, build_cpu_time: 86.5746, build_memory: 61850629.6, f_measure: 0.8219, kappa: 0.6388, kb_relative_information_score: 152.5516, mean_absolute_error: 0.2234, 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: 0.4524, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7171, scimark_benchmark: 938.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 0.5044, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9911, recall: 0.8074, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, build_cpu_time: 0.0154, build_memory: 216718427.2, f_measure: 0.7807, kappa: 0.5549, kb_relative_information_score: 91.7644, mean_absolute_error: 0.346, 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: 0.7005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7879, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, build_cpu_time: 0.2705, build_memory: 910178159.2, f_measure: 0.8255, kappa: 0.646, kb_relative_information_score: 149.1783, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7673, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.034, build_memory: 83697604.8, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 153.4759, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7246, scimark_benchmark: 942.1551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 0.0267, build_memory: 3497051069.6, f_measure: 0.7768, kappa: 0.547, kb_relative_information_score: 90.8994, mean_absolute_error: 0.3473, 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: 0.7033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7899, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 38.91, build_memory: 816905096, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 152.7453, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7172, scimark_benchmark: 937.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 0.1119, build_memory: 946501481.6, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 169.6131, mean_absolute_error: 0.1889, 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: 0.3824, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7188, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 0.1144, build_memory: 404606507.2, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 169.6131, mean_absolute_error: 0.1889, 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: 0.3824, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7188, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, build_cpu_time: 0.1427, build_memory: 629689866.4, f_measure: 0.8107, kappa: 0.6159, kb_relative_information_score: 137.3696, mean_absolute_error: 0.2553, 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: 0.5168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7188, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, build_cpu_time: 0.0246, build_memory: 376338549.6, f_measure: 0.7521, kappa: 0.4966, kb_relative_information_score: 98.4594, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7573, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8037, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, build_cpu_time: 0.0638, build_memory: 258084955.2, f_measure: 0.8255, kappa: 0.646, kb_relative_information_score: 142.1725, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8257, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7218, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, build_cpu_time: 0.0475, build_memory: 248500116.8, f_measure: 0.7798, kappa: 0.5527, kb_relative_information_score: 96.9308, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7818, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8024, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, build_cpu_time: 0.0083, build_memory: 217324953.6, f_measure: 0.7464, kappa: 0.4859, kb_relative_information_score: 97.2214, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7569, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8134, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, build_cpu_time: 0.1984, build_memory: 48407524, f_measure: 0.8074, kappa: 0.61, kb_relative_information_score: 163.2375, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8074, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8646, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, build_cpu_time: 0.0501, build_memory: 851777009.6, f_measure: 0.796, kappa: 0.5865, kb_relative_information_score: 131.6618, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7564, scimark_benchmark: 902.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, build_cpu_time: 0.0217, build_memory: 957658441.6, f_measure: 0.7989, kappa: 0.5916, kb_relative_information_score: 127.8064, mean_absolute_error: 0.2719, 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: 0.5504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7601, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7661, kappa: 0.5255, kb_relative_information_score: 121.9759, mean_absolute_error: 0.279, 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: 0.565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9061, scimark_benchmark: 1320.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.795, kappa: 0.5837, kb_relative_information_score: 144.8506, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7964, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8531, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7625, kappa: 0.5184, kb_relative_information_score: 138.8088, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7624, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9561, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 158.896, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7549, scimark_benchmark: 1336.8944,
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: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, 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: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 158.896, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7549, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8181, kappa: 0.631, kb_relative_information_score: 158.896, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7549, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, 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: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1838.8826,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.809, kappa: 0.612, kb_relative_information_score: 139.3458, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8135, predictive_accuracy: 0.8111, prior_entropy: 0.9912, recall: 0.8111, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8119, scimark_benchmark: 1850.8887,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 169.8942, mean_absolute_error: 0.1871, 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: 0.3789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 906.0979,
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: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.803, kappa: 0.6002, kb_relative_information_score: 136.7217, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7923, scimark_benchmark: 819.5729,
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: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, 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: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8331, kappa: 0.6617, kb_relative_information_score: 171.1055, mean_absolute_error: 0.1853, 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: 0.3753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7282, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7474, kappa: 0.4874, kb_relative_information_score: 135.4143, mean_absolute_error: 0.2459, 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: 0.4979, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8731, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, 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: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 162.6216, mean_absolute_error: 0.2018, 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: 0.4085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7204, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7893, kappa: 0.5743, kb_relative_information_score: 137.395, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7902, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6857, kappa: 0.3651, kb_relative_information_score: 58.2095, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.6867, predictive_accuracy: 0.6852, prior_entropy: 0.9912, recall: 0.6852, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7542, kappa: 0.5008, kb_relative_information_score: 122.9621, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7549, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8405, kappa: 0.6767, kb_relative_information_score: 146.1, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8405, predictive_accuracy: 0.8407, prior_entropy: 0.9912, recall: 0.8407, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7691, kappa: 0.5311, kb_relative_information_score: 143.76, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7699, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.absent not found among predictions.

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