Task
Supervised Classification on kc1-top5

Supervised Classification on kc1-top5

Task 3898 Supervised Classification kc1-top5 560 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.8788, kappa: 0.0919, kb_relative_information_score: -142.2246, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.907, predictive_accuracy: 0.8552, prior_entropy: 0.3323, recall: 0.8552, relative_absolute_error: 1.2079, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.4235, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.9311, kappa: 0.277, kb_relative_information_score: 16.0982, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9264, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0165, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9217, kappa: 0.2269, kb_relative_information_score: -47.2339, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9195, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0239, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.9116, kappa: 0.1003, kb_relative_information_score: -50.2404, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9064, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2553, root_relative_squared_error: 1.1179, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.9005, kappa: -0.0443, kb_relative_information_score: -25.2266, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8908, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2349, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -71.8316, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2396, root_relative_squared_error: 1.0492, scimark_benchmark: 918.4924, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.9467, kappa: 0.3865, kb_relative_information_score: -107.2495, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9604, predictive_accuracy: 0.9586, prior_entropy: 0.3323, recall: 0.9586, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.9055, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.936, kappa: 0.3079, kb_relative_information_score: 9.167, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9322, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.6145, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.9303, scimark_benchmark: 929.566, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.9076, kappa: -0.031, kb_relative_information_score: 7.4165, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8916, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.1584, scimark_benchmark: 941.7954, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 35.389, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2348, root_relative_squared_error: 1.0282, scimark_benchmark: 939.2687, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 35.389, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2348, root_relative_squared_error: 1.0282, scimark_benchmark: 942.6953, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.9128, kappa: 0.1879, kb_relative_information_score: -20.7385, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9154, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.2589, scimark_benchmark: 938.4285, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.1816, kappa: 0.0124, kb_relative_information_score: -1390.8019, mean_absolute_error: 0.8483, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9482, predictive_accuracy: 0.1517, prior_entropy: 0.3323, recall: 0.1517, relative_absolute_error: 7.7368, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.921, root_relative_squared_error: 4.0325, scimark_benchmark: 947.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.936, kappa: 0.3079, kb_relative_information_score: -9.9891, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9322, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2294, root_relative_squared_error: 1.0045, scimark_benchmark: 943.2817, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.936, kappa: 0.3674, kb_relative_information_score: 4.9664, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9342, predictive_accuracy: 0.9379, prior_entropy: 0.3323, recall: 0.9379, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2361, root_relative_squared_error: 1.0338, scimark_benchmark: 917.7039, usercpu_time_millis: 1400, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.9041, kappa: 0.1567, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9126, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 938.8021, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, build_cpu_time: 0.2315, build_memory: 1118049483.7517, f_measure: 0.9128, kappa: 0.1879, kb_relative_information_score: -32.3362, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9154, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2996, root_relative_squared_error: 1.3117, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, build_cpu_time: 0.1409, build_memory: 901902249.7655, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -25.2531, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.288, root_relative_squared_error: 1.261, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, build_cpu_time: 0.0726, build_memory: 774719460.1379, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -2.5728, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2639, root_relative_squared_error: 1.1556, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, build_cpu_time: 0.036, build_memory: 482073219.2552, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 1.5528, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2593, root_relative_squared_error: 1.1354, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, build_cpu_time: 0.0319, build_memory: 673169280.9931, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 5.3802, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.1233, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0355, build_memory: 142438301.0207, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 5.3802, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.1233, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0353, build_memory: 382118777.1586, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 5.3802, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.1233, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, build_cpu_time: 0.0402, build_memory: 53803992.2759, f_measure: 0.9264, kappa: 0.2503, kb_relative_information_score: 5.3802, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9224, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.1233, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.0056, build_memory: 886626764.469, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -14.2212, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.2596, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.0032, build_memory: 75236245.7931, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -14.2212, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.2596, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.0028, build_memory: 1726399597.6276, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -14.2212, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.2596, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.0012, build_memory: 2163570368, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -14.2212, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.2596, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.0016, build_memory: 963819225.1034, f_measure: 0.9172, kappa: 0.2062, kb_relative_information_score: -14.2212, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 0.3323, recall: 0.9172, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2877, root_relative_squared_error: 1.2596, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.0483, build_memory: 1107109480.3862, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -44.9607, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9718, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.0308, build_memory: 3086756817.7655, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -44.9607, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9718, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.0481, build_memory: 612129726.0138, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -44.9607, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9718, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.047, build_memory: 1939863351.6138, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -44.9607, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9718, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, build_cpu_time: 0.0535, build_memory: 627730675.2552, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -44.9607, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9718, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, build_cpu_time: 0.0001, build_memory: 112472330.5931, f_measure: 0.9464, kappa: 0.4377, kb_relative_information_score: 43.5917, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9442, predictive_accuracy: 0.9517, prior_entropy: 0.3323, recall: 0.9517, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.9553, scimark_benchmark: 937.1859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, build_cpu_time: 0.0135, build_memory: 631682995.7517, f_measure: 0.8833, kappa: 0.0289, kb_relative_information_score: -104.0083, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.899, predictive_accuracy: 0.869, prior_entropy: 0.3323, recall: 0.869, relative_absolute_error: 1.16, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3486, root_relative_squared_error: 1.5261, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 0.0028, build_memory: 312170421.3517, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, build_cpu_time: 0.0207, build_memory: 403105169.931, f_measure: 0.9076, kappa: -0.031, kb_relative_information_score: -55.9667, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8916, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2302, root_relative_squared_error: 1.0079, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, build_cpu_time: 0.0384, build_memory: 52864734.6207, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -9.0729, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2624, root_relative_squared_error: 1.1487, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, build_cpu_time: 0.0415, build_memory: 239471103.3379, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -9.0729, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2624, root_relative_squared_error: 1.1487, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, build_cpu_time: 0.0371, build_memory: 155091368.9931, f_measure: 0.931, kappa: 0.3385, kb_relative_information_score: -9.0729, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2624, root_relative_squared_error: 1.1487, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, build_cpu_time: 0.006, build_memory: 839168135.7241, f_measure: 0.9005, kappa: -0.0443, kb_relative_information_score: -25.2266, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8908, predictive_accuracy: 0.9103, prior_entropy: 0.3323, recall: 0.9103, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.282, root_relative_squared_error: 1.2349, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, build_memory: 594301656, f_measure: 0.918, kb_relative_information_score: -11.802, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 0.0027, build_memory: 271628623.1724, f_measure: 0.9064, kappa: 0.2804, kb_relative_information_score: -63.215, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9293, predictive_accuracy: 0.8897, prior_entropy: 0.3323, recall: 0.8897, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3294, root_relative_squared_error: 1.4424, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, build_cpu_time: 0.0004, build_memory: 98534545.269, f_measure: 0.9134, kappa: 0.3513, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9389, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 946.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, build_cpu_time: 0.0006, build_memory: 348668798.1241, f_measure: 0.9134, kappa: 0.3513, kb_relative_information_score: -51.4261, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9389, predictive_accuracy: 0.8966, prior_entropy: 0.3323, recall: 0.8966, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3216, root_relative_squared_error: 1.4082, scimark_benchmark: 912.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, build_cpu_time: 0.0143, build_memory: 322338551.3931, f_measure: 0.2041, kappa: 0.0144, kb_relative_information_score: -1365.9986, mean_absolute_error: 0.8345, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9482, predictive_accuracy: 0.1655, prior_entropy: 0.3323, recall: 0.1655, relative_absolute_error: 7.611, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.9135, root_relative_squared_error: 3.9996, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, build_cpu_time: 0.0136, build_memory: 913993100.9655, f_measure: 0.2041, kappa: 0.0144, kb_relative_information_score: -1365.9986, mean_absolute_error: 0.8345, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9482, predictive_accuracy: 0.1655, prior_entropy: 0.3323, recall: 0.1655, relative_absolute_error: 7.611, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.9135, root_relative_squared_error: 3.9996, scimark_benchmark: 939.7937,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs