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

OpenML
OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 244 Supervised Classification mfeat-fourier 307 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8021, kappa: 0.7826, kb_relative_information_score: 545.668, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8067, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5633, scimark_benchmark: 939.5205, usercpu_time_millis: 3190, usercpu_time_millis_testing: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.7719, kappa: 0.7508, kb_relative_information_score: 182.4638, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7748, predictive_accuracy: 0.7758, prior_entropy: 3.3219, recall: 0.7758, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919, scimark_benchmark: 1318.5526, usercpu_time_millis: 15700, usercpu_time_millis_testing: 12520, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8405, kappa: 0.8248, kb_relative_information_score: 189.4616, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8417, predictive_accuracy: 0.8424, prior_entropy: 3.3219, recall: 0.8424, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9135, scimark_benchmark: 1321.527, usercpu_time_millis: 970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8236, kappa: 0.8046, kb_relative_information_score: 540.4495, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8256, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.5307, scimark_benchmark: 895.5332, usercpu_time_millis: 10080, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.82, kappa: 0.8029, kb_relative_information_score: 537.6464, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8217, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6276, scimark_benchmark: 1304.9611, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6674, kappa: 0.6325, kb_relative_information_score: 414.2472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6702, predictive_accuracy: 0.6697, prior_entropy: 3.3219, recall: 0.6697, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.7471, scimark_benchmark: 1319.6463, usercpu_time_millis: 197900, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 196140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6026, kappa: 0.5603, kb_relative_information_score: 387.0573, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6016, predictive_accuracy: 0.6045, prior_entropy: 3.3219, recall: 0.6045, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9374, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7401, kappa: 0.7137, kb_relative_information_score: 472.0611, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7449, predictive_accuracy: 0.7424, prior_entropy: 3.3219, recall: 0.7424, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6636, scimark_benchmark: 1066.7184, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.7555, kappa: 0.7287, kb_relative_information_score: 482.2586, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7604, predictive_accuracy: 0.7561, prior_entropy: 3.3219, recall: 0.7561, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6783, scimark_benchmark: 1327.6929, usercpu_time_millis: 3010, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7484, kappa: 0.7257, kb_relative_information_score: 489.5415, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7612, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7408, scimark_benchmark: 1372.2145, usercpu_time_millis: 2450, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.0328, kappa: 0.0052, kb_relative_information_score: 52.4149, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3057, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3987, scimark_benchmark: 1368.9272, usercpu_time_millis: 3480, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7307, kappa: 0.7001, kb_relative_information_score: 482.4907, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7393, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.7353, scimark_benchmark: 1466.6185, usercpu_time_millis: 1770, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.343, kappa: 0.3143, kb_relative_information_score: 233.3309, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3374, predictive_accuracy: 0.3818, prior_entropy: 3.3219, recall: 0.3818, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.1721, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7184, kappa: 0.6884, kb_relative_information_score: 466.5349, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7304, predictive_accuracy: 0.7197, prior_entropy: 3.3219, recall: 0.7197, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.7892, scimark_benchmark: 977.6382, usercpu_time_millis: 49120, usercpu_time_millis_training: 49120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0137, kb_relative_information_score: 3.8825, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0075, predictive_accuracy: 0.0864, prior_entropy: 3.3219, recall: 0.0864, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0006, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.7194, kappa: 0.7003, kb_relative_information_score: 495.4034, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7424, predictive_accuracy: 0.7303, prior_entropy: 3.3219, recall: 0.7303, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6934, scimark_benchmark: 977.6382, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, build_cpu_time: 33.044, build_memory: 1259046296, f_measure: 0.821, kappa: 0.8012, kb_relative_information_score: 542.9385, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8229, predictive_accuracy: 0.8212, prior_entropy: 3.3219, recall: 0.8212, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.595, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, build_cpu_time: 27.583, build_memory: 960230480, f_measure: 0.821, kappa: 0.8012, kb_relative_information_score: 542.9385, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8229, predictive_accuracy: 0.8212, prior_entropy: 3.3219, recall: 0.8212, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.595, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, build_cpu_time: 27.708, build_memory: 896036480, f_measure: 0.824, kappa: 0.8045, kb_relative_information_score: 544.9608, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8265, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5895, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, build_cpu_time: 13.268, build_memory: 1287184384, f_measure: 0.8237, kappa: 0.8045, kb_relative_information_score: 548.0771, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8258, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5798, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, build_cpu_time: 6.739, build_memory: 432615736, f_measure: 0.833, kappa: 0.8146, kb_relative_information_score: 550.7215, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8353, predictive_accuracy: 0.8333, prior_entropy: 3.3219, recall: 0.8333, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5693, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, build_cpu_time: 2.848, build_memory: 1450891304, f_measure: 0.8029, kappa: 0.7811, kb_relative_information_score: 527.3531, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8103, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5704, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, build_cpu_time: 5.583, build_memory: 592571112, f_measure: 0.822, kappa: 0.8029, kb_relative_information_score: 543.2961, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8286, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5757, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, build_cpu_time: 10.86, build_memory: 250216720, f_measure: 0.8182, kappa: 0.7979, kb_relative_information_score: 544.6471, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.823, predictive_accuracy: 0.8182, prior_entropy: 3.3219, recall: 0.8182, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5836, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 20.504, build_memory: 1217132272, f_measure: 0.8362, kappa: 0.8181, kb_relative_information_score: 552.9946, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8396, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 21.805, build_memory: 1565372696, f_measure: 0.8362, kappa: 0.8181, kb_relative_information_score: 552.9946, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8396, predictive_accuracy: 0.8364, prior_entropy: 3.3219, recall: 0.8364, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.03, build_memory: 215773072, f_measure: 0.6277, kappa: 0.5891, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6313, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.046, build_memory: 1556559864, f_measure: 0.6277, kappa: 0.5891, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6313, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.028, build_memory: 1974693864, f_measure: 0.6277, kappa: 0.5891, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6313, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.026, build_memory: 1437891824, f_measure: 0.6277, kappa: 0.5891, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6313, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.04, build_memory: 692428792, f_measure: 0.6277, kappa: 0.5891, kb_relative_information_score: 404.8352, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.6313, predictive_accuracy: 0.6303, prior_entropy: 3.3219, recall: 0.6303, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.9064, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 1.594, build_memory: 1077667656, f_measure: 0.8272, kappa: 0.8097, kb_relative_information_score: 487.4402, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8304, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5685, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, build_cpu_time: 1.707, build_memory: 1854125440, f_measure: 0.8272, kappa: 0.8097, kb_relative_information_score: 487.4402, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8304, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5685, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, build_cpu_time: 0.557, build_memory: 173830136, f_measure: 0.8405, kappa: 0.8248, kb_relative_information_score: 189.4616, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8417, predictive_accuracy: 0.8424, prior_entropy: 3.3219, recall: 0.8424, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9135, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, build_cpu_time: 10.913, build_memory: 278398792, f_measure: 0.7383, kappa: 0.7137, kb_relative_information_score: 488.3423, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7418, predictive_accuracy: 0.7424, prior_entropy: 3.3219, recall: 0.7424, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7297, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, build_cpu_time: 0.032, build_memory: 380207376, f_measure: 0.7607, kappa: 0.7354, kb_relative_information_score: 511.5538, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7626, predictive_accuracy: 0.7621, prior_entropy: 3.3219, recall: 0.7621, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6601, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, build_cpu_time: 0.075, build_memory: 881845456, f_measure: 0.0519, kappa: 0.0892, kb_relative_information_score: 156.5115, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.0308, predictive_accuracy: 0.1697, prior_entropy: 3.3219, recall: 0.1697, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9589, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, build_cpu_time: 0.068, build_memory: 636533560, f_measure: 0.343, kappa: 0.3143, kb_relative_information_score: 233.3309, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3374, predictive_accuracy: 0.3818, prior_entropy: 3.3219, recall: 0.3818, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.1721, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, build_cpu_time: 0.067, build_memory: 366516440, f_measure: 0.343, kappa: 0.3143, kb_relative_information_score: 233.3309, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.3374, predictive_accuracy: 0.3818, prior_entropy: 3.3219, recall: 0.3818, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.1721, scimark_benchmark: 946.8522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, build_cpu_time: 5.965, build_memory: 505317904, f_measure: 0.8569, kappa: 0.8416, kb_relative_information_score: 188.3568, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8595, predictive_accuracy: 0.8576, prior_entropy: 3.3219, recall: 0.8576, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, build_cpu_time: 12.67, build_memory: 211926152, f_measure: 0.8584, kappa: 0.8433, kb_relative_information_score: 188.3391, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8599, predictive_accuracy: 0.8591, prior_entropy: 3.3219, recall: 0.8591, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 25.273, build_memory: 464104680, f_measure: 0.8567, kappa: 0.8416, kb_relative_information_score: 188.4031, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8591, predictive_accuracy: 0.8576, prior_entropy: 3.3219, recall: 0.8576, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 43.485, build_memory: 280184360, f_measure: 0.8539, kappa: 0.8383, kb_relative_information_score: 188.4118, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8556, predictive_accuracy: 0.8545, prior_entropy: 3.3219, recall: 0.8545, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9128, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 7.073, build_memory: 357658512, f_measure: 0.7823, kappa: 0.7575, kb_relative_information_score: 509.3084, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7887, predictive_accuracy: 0.7818, prior_entropy: 3.3219, recall: 0.7818, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5641, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 3.59, build_memory: 1514271736, f_measure: 0.7727, kappa: 0.7473, kb_relative_information_score: 508.744, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7782, predictive_accuracy: 0.7727, prior_entropy: 3.3219, recall: 0.7727, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5685, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.262, build_memory: 1200971704, f_measure: 0.7687, kappa: 0.7439, kb_relative_information_score: 474.7276, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.7699, predictive_accuracy: 0.7697, prior_entropy: 3.3219, recall: 0.7697, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6138, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 1.612, build_memory: 1365430688, f_measure: 0.8216, kappa: 0.8047, kb_relative_information_score: 486.6803, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8257, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5706, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 1.632, build_memory: 1007916208, f_measure: 0.8216, kappa: 0.8047, kb_relative_information_score: 486.6803, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8257, predictive_accuracy: 0.8242, prior_entropy: 3.3219, recall: 0.8242, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5706, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, build_cpu_time: 3.11, build_memory: 2251747224, f_measure: 0.8357, kappa: 0.8198, kb_relative_information_score: 488.5788, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8401, predictive_accuracy: 0.8379, prior_entropy: 3.3219, recall: 0.8379, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.17, root_relative_squared_error: 0.5665, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 184.239, build_memory: 3015409264, f_measure: 0.8262, kappa: 0.8097, kb_relative_information_score: 478.5583, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.83, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5775, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, build_cpu_time: 91.543, build_memory: 1767218128, f_measure: 0.8247, kappa: 0.808, kb_relative_information_score: 478.7924, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 660, precision: 0.8284, predictive_accuracy: 0.8273, prior_entropy: 3.3219, recall: 0.8273, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5771, scimark_benchmark: 937.7852,

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

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