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Severity: Warning

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Backtrace:

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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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Function: query

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File: /var/www/openml/index.php
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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: loadpage

File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on analcatdata_apnea1

Supervised Classification on analcatdata_apnea1

Task 3633 Supervised Classification analcatdata_apnea1 528 runs submitted
0 likes downloaded by 0 people , 0 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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528 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, build_cpu_time: 0.0258, build_memory: 622640001.6842, f_measure: 0.9225, kappa: 0.6466, kb_relative_information_score: 267.1899, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9214, predictive_accuracy: 0.9242, prior_entropy: 0.5574, recall: 0.9242, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8138, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, build_cpu_time: 0.0552, build_memory: 916320176.5726, f_measure: 0.925, kappa: 0.6589, kb_relative_information_score: 272.0293, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.924, predictive_accuracy: 0.9263, prior_entropy: 0.5574, recall: 0.9263, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8064, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, build_cpu_time: 0.1094, build_memory: 1636383623.5958, f_measure: 0.9263, kappa: 0.6613, kb_relative_information_score: 279.5039, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9251, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.7994, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, build_cpu_time: 0.2298, build_memory: 115825183.1916, f_measure: 0.9268, kappa: 0.6663, kb_relative_information_score: 275.911, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9258, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.8022, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.0221, build_memory: 60632050.1389, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.0142, build_memory: 51978487.1411, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.0115, build_memory: 404512155.1832, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, build_cpu_time: 0.0653, build_memory: 57765094.7705, f_measure: 0.9147, kappa: 0.5976, kb_relative_information_score: 173.9464, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9139, predictive_accuracy: 0.92, prior_entropy: 0.5574, recall: 0.92, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.7148, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 2.2402, build_memory: 677303397.0526, f_measure: 0.9303, kappa: 0.6875, kb_relative_information_score: 285.2896, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.7869, scimark_benchmark: 942.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 1.0684, build_memory: 943679020.2442, f_measure: 0.9322, kappa: 0.6948, kb_relative_information_score: 287.9396, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9317, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.7691, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, build_cpu_time: 0.597, build_memory: 2089695489.7516, f_measure: 0.934, kappa: 0.7022, kb_relative_information_score: 290.4604, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9335, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.7606, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 0.3226, build_memory: 83314797.2042, f_measure: 0.9317, kappa: 0.6904, kb_relative_information_score: 295.2765, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9309, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.7373, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, build_cpu_time: 0.0717, build_memory: 114537264.8084, f_measure: 0.9345, kappa: 0.7064, kb_relative_information_score: 306.4736, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6541, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, build_cpu_time: 0.0006, build_memory: 1488615063.6968, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 261.8275, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6299, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, build_cpu_time: 0.0399, build_memory: 245803700.2274, f_measure: 0.9293, kappa: 0.6784, kb_relative_information_score: 261.9411, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9284, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6939, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, build_cpu_time: 0.0037, build_memory: 459230437.0189, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 270.1627, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6793, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_memory: 106518133.0526, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.031, build_memory: 940452209.7516, f_measure: 0.8118, kb_relative_information_score: 127.2199, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, build_cpu_time: 0.0111, build_memory: 868461960.6737, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, build_cpu_time: 0.0237, build_memory: 1095032968, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, build_cpu_time: 0.0119, build_memory: 98450287.1579, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 222.0466, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6627, scimark_benchmark: 943.1817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, build_cpu_time: 0.2662, build_memory: 193959222.5684, f_measure: 0.9234, kappa: 0.6638, kb_relative_information_score: 281.1911, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.925, predictive_accuracy: 0.9221, prior_entropy: 0.5574, recall: 0.9221, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.244, root_relative_squared_error: 0.7294, scimark_benchmark: 934.8065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, build_cpu_time: 1.4465, build_memory: 1371947216.5558, f_measure: 0.9359, kappa: 0.7098, kb_relative_information_score: 242.0586, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9353, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.6453, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 2.7362, build_memory: 1323553429.5916, f_measure: 0.9322, kappa: 0.6948, kb_relative_information_score: 248.4987, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9317, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.64, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, build_cpu_time: 5.537, build_memory: 76145012.0421, f_measure: 0.9373, kappa: 0.7132, kb_relative_information_score: 249.01, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9366, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.6356, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 10.7743, build_memory: 3561807819.6211, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 249.7438, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6338, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, build_cpu_time: 23.6276, build_memory: 270735008.9432, f_measure: 0.9373, kappa: 0.7132, kb_relative_information_score: 250.5805, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9366, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.634, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.5606, build_memory: 1205398162.3916, f_measure: 0.9373, kappa: 0.7132, kb_relative_information_score: 304.6901, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9366, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.7362, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.3303, build_memory: 774527030.3326, f_measure: 0.9349, kappa: 0.7012, kb_relative_information_score: 298.9975, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9341, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7419, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.2029, build_memory: 478418712.7074, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 336.6223, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6523, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.1422, build_memory: 85827850.8632, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 336.6223, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6523, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.2291, build_memory: 937564347.6042, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 336.6223, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6523, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.1499, build_memory: 1164671276.5811, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 336.6223, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6523, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 0.0826, build_memory: 987404567.7474, f_measure: 0.9397, kappa: 0.7163, kb_relative_information_score: 314.7662, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9406, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.6937, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, build_cpu_time: 0.0705, build_memory: 39695365.0695, f_measure: 0.9417, kappa: 0.7247, kb_relative_information_score: 319.5735, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9432, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.6834, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, build_cpu_time: 0.5505, build_memory: 861891078.2989, f_measure: 0.9402, kappa: 0.7207, kb_relative_information_score: 269.1435, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9404, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6403, scimark_benchmark: 943.0625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, build_cpu_time: 0.4992, build_memory: 544250523.3516, f_measure: 0.9402, kappa: 0.7207, kb_relative_information_score: 269.1435, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9404, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.6403, scimark_benchmark: 941.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.99, build_memory: 116199318.6189, f_measure: 0.9422, kappa: 0.729, kb_relative_information_score: 269.7935, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9429, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.6419, scimark_benchmark: 945.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0987, build_memory: 719222949.9958, f_measure: 0.9344, kappa: 0.6967, kb_relative_information_score: 274.4901, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9337, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6417, scimark_benchmark: 943.7971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.1166, build_memory: 43329470.4842, f_measure: 0.9344, kappa: 0.6967, kb_relative_information_score: 274.4901, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9337, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6417, scimark_benchmark: 929.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, build_cpu_time: 0.0954, build_memory: 546561231.2926, f_measure: 0.9344, kappa: 0.6967, kb_relative_information_score: 274.4901, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9337, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6417, scimark_benchmark: 946.7109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, build_cpu_time: 0.0537, build_memory: 1182097263.0568, f_measure: 0.9368, kappa: 0.709, kb_relative_information_score: 274.7449, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9362, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.6444, scimark_benchmark: 947.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, build_cpu_time: 0.0217, build_memory: 1620753123.9242, f_measure: 0.9393, kappa: 0.7211, kb_relative_information_score: 273.2486, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9386, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6418, scimark_benchmark: 897.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.0138, build_memory: 426142431.1074, f_measure: 0.9417, kappa: 0.733, kb_relative_information_score: 269.0812, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.941, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.6461, scimark_benchmark: 923.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.0155, build_memory: 2085342463.2253, f_measure: 0.9417, kappa: 0.733, kb_relative_information_score: 269.0812, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.941, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.6461, scimark_benchmark: 944.7967,

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