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OpenML
Task
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3495 Supervised Classification SPECT 546 runs submitted
0 likes downloaded by 1 people , 2 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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546 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8058, kappa: 0.4205, kb_relative_information_score: 34.5644, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8112, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9099, scimark_benchmark: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8066, kappa: 0.461, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8333, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7911, kappa: 0.3768, kb_relative_information_score: 64.5926, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7969, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.462, root_relative_squared_error: 1.1425, scimark_benchmark: 934.4732, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 934.4732, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.8226, kappa: 0.4433, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8193, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.8369, kappa: 0.4778, kb_relative_information_score: 52.2429, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8351, predictive_accuracy: 0.8464, prior_entropy: 0.738, recall: 0.8464, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.8702, scimark_benchmark: 1315.395, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.8148, kappa: 0.4191, kb_relative_information_score: 96.311, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8113, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.424, root_relative_squared_error: 1.0484, scimark_benchmark: 916.9356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8337, kappa: 0.4691, kb_relative_information_score: 73.1013, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8313, predictive_accuracy: 0.8427, prior_entropy: 0.738, recall: 0.8427, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8605, scimark_benchmark: 939.5088, usercpu_time_millis: 1150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8328, kappa: 0.5229, kb_relative_information_score: 50.032, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8505, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9077, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.8159, kappa: 0.4352, kb_relative_information_score: 71.9764, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9624, scimark_benchmark: 1315.3881, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 53.6364, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9013, scimark_benchmark: 1307.3269, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7584, kappa: 0.2946, kb_relative_information_score: 35.9775, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7711, predictive_accuracy: 0.7491, prior_entropy: 0.738, recall: 0.7491, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.1237, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 38.719, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9249, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.8038, kappa: 0.3772, kb_relative_information_score: 41.9167, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7991, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9413, scimark_benchmark: 1313.5726, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.8132, kappa: 0.4194, kb_relative_information_score: 92.7867, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8106, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0592, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.3281, kappa: 0.071, kb_relative_information_score: -347.7465, mean_absolute_error: 0.6517, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8047, predictive_accuracy: 0.3483, prior_entropy: 0.738, recall: 0.3483, relative_absolute_error: 1.9844, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.8073, root_relative_squared_error: 1.9961, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.8132, kappa: 0.4194, kb_relative_information_score: 49.9415, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8106, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.961, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7574, kappa: 0.3478, kb_relative_information_score: 18.7771, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7994, predictive_accuracy: 0.7378, prior_entropy: 0.738, recall: 0.7378, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.512, root_relative_squared_error: 1.266, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7028, kb_relative_information_score: 71.6411, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.804, kappa: 0.3872, kb_relative_information_score: 85.2816, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8004, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0658, scimark_benchmark: 917.4321, usercpu_time_millis: 12620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.8239, kappa: 0.4512, kb_relative_information_score: 103.3595, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8212, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0263, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -1.2869, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7994, kappa: 0.3707, kb_relative_information_score: 52.6199, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7953, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.9403, scimark_benchmark: 1480.5705, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.812, kappa: 0.4351, kb_relative_information_score: 85.697, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8156, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.01, scimark_benchmark: 945.7621, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8159, kappa: 0.4352, kb_relative_information_score: 79.2039, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8153, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9528, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 58.2139, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9423, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 58.2139, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9423, scimark_benchmark: 943.2817, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7976, kappa: 0.3338, kb_relative_information_score: 92.0796, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7984, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.93, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7969, kappa: 0.3362, kb_relative_information_score: 90.0106, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7947, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9236, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7197, kappa: 0.0527, kb_relative_information_score: 74.1628, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7235, predictive_accuracy: 0.7903, prior_entropy: 0.738, recall: 0.7903, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.982, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7118, kappa: 0.0261, kb_relative_information_score: 61.1258, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7014, predictive_accuracy: 0.7865, prior_entropy: 0.738, recall: 0.7865, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.9812, scimark_benchmark: 938.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7028, kb_relative_information_score: 64.2343, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0194, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8208, kappa: 0.4431, kb_relative_information_score: 58.2308, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8183, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.901, scimark_benchmark: 945.7621, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8133, kappa: 0.4108, kb_relative_information_score: 62.8123, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8093, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8711, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, build_cpu_time: 3.3736, build_memory: 904306934.2622, f_measure: 0.8163, kappa: 0.4273, kb_relative_information_score: 90.3484, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8134, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9745, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, build_cpu_time: 4.9501, build_memory: 2361533349.6929, f_measure: 0.8226, kappa: 0.4433, kb_relative_information_score: 90.819, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8193, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9735, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, build_cpu_time: 0.0106, build_memory: 594895064.1199, f_measure: 0.7977, kappa: 0.3617, kb_relative_information_score: 41.6808, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.793, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8917, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, build_cpu_time: 0.01, build_memory: 662921182.8914, f_measure: 0.7977, kappa: 0.3617, kb_relative_information_score: 41.6808, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.793, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8917, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, build_cpu_time: 0.0093, build_memory: 1483697184.1798, f_measure: 0.8008, kappa: 0.3694, kb_relative_information_score: 38.9677, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.796, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.8916, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, build_cpu_time: 0.0034, build_memory: 954194829.8427, f_measure: 0.8133, kappa: 0.4108, kb_relative_information_score: 16.3012, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8093, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9218, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0122, build_memory: 600641572.2247, f_measure: 0.8056, kappa: 0.3957, kb_relative_information_score: 57.0924, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9414, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, build_cpu_time: 0.0173, build_memory: 381779192.7191, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 56.696, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.9443, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 0.0193, build_memory: 456771356.7341, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 58.2139, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9423, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 0.0191, build_memory: 534130206.382, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 58.2139, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9423, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, build_cpu_time: 0.0214, build_memory: 628666521.3783, f_measure: 0.8039, kappa: 0.3965, kb_relative_information_score: 58.2139, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8027, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.9423, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, build_cpu_time: 1.9752, build_memory: 29651384.0599, f_measure: 0.8132, kappa: 0.4194, kb_relative_information_score: 74.0093, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8106, predictive_accuracy: 0.8165, prior_entropy: 0.738, recall: 0.8165, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.915, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, build_cpu_time: 3.1587, build_memory: 743536680.9288, f_measure: 0.8163, kappa: 0.4273, kb_relative_information_score: 79.5439, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8134, predictive_accuracy: 0.8202, prior_entropy: 0.738, recall: 0.8202, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.9302, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, build_cpu_time: 6.3438, build_memory: 1068407039.4906, f_measure: 0.8242, kappa: 0.4436, kb_relative_information_score: 84.6559, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8207, predictive_accuracy: 0.8315, prior_entropy: 0.738, recall: 0.8315, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.936, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, build_cpu_time: 14.3912, build_memory: 33803182.4719, f_measure: 0.818, kappa: 0.4272, kb_relative_information_score: 80.1035, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8143, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9612, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 26.4017, build_memory: 23693592.6891, f_measure: 0.8211, kappa: 0.4353, kb_relative_information_score: 78.1141, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8175, predictive_accuracy: 0.8277, prior_entropy: 0.738, recall: 0.8277, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9735, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, build_cpu_time: 5.3993, build_memory: 1045669597.5431, f_measure: 0.8052, kappa: 0.4046, kb_relative_information_score: 69.4925, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9966, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, build_cpu_time: 5.9358, build_memory: 2339864214.6817, f_measure: 0.8052, kappa: 0.4046, kb_relative_information_score: 69.4925, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9966, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, build_cpu_time: 6.3534, build_memory: 417940761.8577, f_measure: 0.8052, kappa: 0.4046, kb_relative_information_score: 69.4925, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.9966, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, build_cpu_time: 4.7213, build_memory: 131319235.0262, f_measure: 0.8052, kappa: 0.4046, kb_relative_information_score: 68.8371, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8052, predictive_accuracy: 0.8052, prior_entropy: 0.738, recall: 0.8052, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9979, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 2.5102, build_memory: 99737174.4419, f_measure: 0.8008, kappa: 0.3891, kb_relative_information_score: 62.9927, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8002, predictive_accuracy: 0.8015, prior_entropy: 0.738, recall: 0.8015, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0069, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, build_cpu_time: 0.2782, build_memory: 502269338.1873, f_measure: 0.8038, kappa: 0.3772, kb_relative_information_score: 74.4075, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.7991, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9414, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, build_cpu_time: 1.094, build_memory: 371199799.9401, f_measure: 0.8086, kappa: 0.4034, kb_relative_information_score: 72.5523, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8055, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9677, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, build_cpu_time: 1.4934, build_memory: 546241756.2846, f_measure: 0.8086, kappa: 0.4034, kb_relative_information_score: 74.1216, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8055, predictive_accuracy: 0.8127, prior_entropy: 0.738, recall: 0.8127, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9699, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, build_cpu_time: 1.4133, build_memory: 595386106.6367, f_measure: 0.8056, kappa: 0.3957, kb_relative_information_score: 73.8855, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8028, predictive_accuracy: 0.809, prior_entropy: 0.738, recall: 0.809, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9709, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, build_cpu_time: 0.041, build_memory: 985051813.6929, f_measure: 0.8306, kappa: 0.4605, kb_relative_information_score: 85.5228, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8276, predictive_accuracy: 0.839, prior_entropy: 0.738, recall: 0.839, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9011, scimark_benchmark: 935.6292,

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