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Function: require_once

OpenML
OpenML
Supervised Classification on ar4

Supervised Classification on ar4

Task 3911 Supervised Classification ar4 589 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.8296, kappa: 0.3907, kb_relative_information_score: 15.7397, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.835, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9622, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.8164, kappa: 0.4079, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8205, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.8084, kappa: 0.3028, kb_relative_information_score: 40.6508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8246, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0223, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8232, kappa: 0.3602, kb_relative_information_score: 17.4498, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8383, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.8607, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.7416, kappa: 0.2507, kb_relative_information_score: -8.7125, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7798, predictive_accuracy: 0.7196, prior_entropy: 0.707, recall: 0.7196, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.5295, root_relative_squared_error: 1.3581, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.8273, kappa: 0.3959, kb_relative_information_score: 23.0277, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8243, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.9077, scimark_benchmark: 1346.9602, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8207, kappa: 0.4043, kb_relative_information_score: 31.7751, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8191, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4149, root_relative_squared_error: 1.064, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.7974, kappa: 0.3147, kb_relative_information_score: 22.284, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7926, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0134, scimark_benchmark: 934.0566, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8283, kappa: 0.4244, kb_relative_information_score: 26.7558, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8256, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9769, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.7902, kappa: 0.2965, kb_relative_information_score: 16.2953, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7865, predictive_accuracy: 0.7944, prior_entropy: 0.707, recall: 0.7944, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3953, root_relative_squared_error: 1.0139, scimark_benchmark: 874.0917, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.822, kappa: 0.3677, kb_relative_information_score: 23.5199, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8219, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.8854, scimark_benchmark: 1313.5726, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.8194, kappa: 0.429, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8282, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.794, kappa: 0.2588, kb_relative_information_score: 13.7291, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7925, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9687, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.7591, kappa: 0.1446, kb_relative_information_score: 2.4136, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7455, predictive_accuracy: 0.785, prior_entropy: 0.707, recall: 0.785, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0805, scimark_benchmark: 1321.6263, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052, scimark_benchmark: 1294.7826, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1313.5005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.7925, kappa: 0.2855, kb_relative_information_score: 22.8851, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7854, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0789, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.7925, kappa: 0.2855, kb_relative_information_score: 25.4621, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7854, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.443, root_relative_squared_error: 1.1363, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.7997, kappa: 0.3047, kb_relative_information_score: 29.2593, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7929, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7293, kb_relative_information_score: -0.5961, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0001, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.7867, kappa: 0.2537, kb_relative_information_score: 20.9377, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7783, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1005, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.8283, kappa: 0.4244, kb_relative_information_score: 35.7976, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8256, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.0328, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.8122, kappa: 0.3536, kb_relative_information_score: 29.0475, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8067, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4063, root_relative_squared_error: 1.0421, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 24.2979, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9974, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8122, kappa: 0.3536, kb_relative_information_score: 21.4509, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8067, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.38, root_relative_squared_error: 0.9747, scimark_benchmark: 942.3168, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.8122, kappa: 0.3536, kb_relative_information_score: 21.4509, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8067, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.38, root_relative_squared_error: 0.9747, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8398, kappa: 0.4438, kb_relative_information_score: 41.5887, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8371, predictive_accuracy: 0.8505, prior_entropy: 0.707, recall: 0.8505, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 936.7115, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.832, kappa: 0.4216, kb_relative_information_score: 36.8264, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.828, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0153, scimark_benchmark: 876.8277, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.8167, kappa: 0.38, kb_relative_information_score: 33.7307, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8127, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.0288, scimark_benchmark: 936.6206, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 34.5413, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3993, root_relative_squared_error: 1.0242, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8092, kappa: 0.3604, kb_relative_information_score: 31.651, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.806, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0481, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7829, kappa: 0.2789, kb_relative_information_score: 20.3972, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7809, predictive_accuracy: 0.785, prior_entropy: 0.707, recall: 0.785, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.1161, scimark_benchmark: 941.7954, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, build_cpu_time: 1.417, build_memory: 1197138481.8692, f_measure: 0.8395, kappa: 0.467, kb_relative_information_score: 30.2249, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8381, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.961, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, build_cpu_time: 2.785, build_memory: 1077207903.6262, f_measure: 0.8167, kappa: 0.38, kb_relative_information_score: 32.4479, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8127, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9919, scimark_benchmark: 892.8005,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, build_cpu_time: 6.5128, build_memory: 47966888.2243, f_measure: 0.7902, kappa: 0.2965, kb_relative_information_score: 21.6693, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7865, predictive_accuracy: 0.7944, prior_entropy: 0.707, recall: 0.7944, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4534, root_relative_squared_error: 1.1629, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 3.1211, build_memory: 70148672.1495, f_measure: 0.7902, kappa: 0.2965, kb_relative_information_score: 21.6951, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7865, predictive_accuracy: 0.7944, prior_entropy: 0.707, recall: 0.7944, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.1616, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, build_cpu_time: 1.4944, build_memory: 998155239.7009, f_measure: 0.7902, kappa: 0.2965, kb_relative_information_score: 23.213, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7865, predictive_accuracy: 0.7944, prior_entropy: 0.707, recall: 0.7944, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.1319, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, build_cpu_time: 0.6997, build_memory: 680749726.3551, f_measure: 0.8018, kappa: 0.3416, kb_relative_information_score: 23.9189, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.0853, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, build_cpu_time: 0.2344, build_memory: 1652300954.7664, f_measure: 0.8167, kappa: 0.38, kb_relative_information_score: 33.3262, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8127, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.0281, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, build_cpu_time: 0.439, build_memory: 572341806.0561, f_measure: 0.807, kappa: 0.3248, kb_relative_information_score: 34.1907, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8013, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.0528, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 3.0989, build_memory: 150002898.6168, f_measure: 0.807, kappa: 0.3248, kb_relative_information_score: 33.0683, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.8013, predictive_accuracy: 0.8224, prior_entropy: 0.707, recall: 0.8224, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4211, root_relative_squared_error: 1.08, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, build_cpu_time: 0.1007, build_memory: 1110471167.7009, f_measure: 0.7974, kappa: 0.3147, kb_relative_information_score: 27.5077, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7926, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0819, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, build_cpu_time: 0.0617, build_memory: 911381010.243, f_measure: 0.7974, kappa: 0.3147, kb_relative_information_score: 27.5077, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7926, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0819, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, build_cpu_time: 0.0745, build_memory: 1289089767.1776, f_measure: 0.7974, kappa: 0.3147, kb_relative_information_score: 27.5069, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.7926, predictive_accuracy: 0.8037, prior_entropy: 0.707, recall: 0.8037, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.0819, scimark_benchmark: 906.6607,

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