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

OpenML
Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 235 Supervised Classification arrhythmia 307 runs submitted
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307 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.4718, kappa: 0.2565, kb_relative_information_score: 50.9536, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.4991, predictive_accuracy: 0.5906, prior_entropy: 2.5222, recall: 0.5906, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.9977, scimark_benchmark: 854.5188, usercpu_time_millis: 490, usercpu_time_millis_testing: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.3371, kb_relative_information_score: -3.1901, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 1.2628, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.1019, scimark_benchmark: 1297.6599, usercpu_time_millis: 2120, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.6309, kappa: 0.4977, kb_relative_information_score: 4.0687, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6515, predictive_accuracy: 0.6846, prior_entropy: 2.5222, recall: 0.6846, relative_absolute_error: 1.252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2305, root_relative_squared_error: 1.0921, scimark_benchmark: 1321.527, usercpu_time_millis: 500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7117, kappa: 0.6086, kb_relative_information_score: 84.8759, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.707, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7883, scimark_benchmark: 1363.434, usercpu_time_millis: 2180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6049, kappa: 0.4556, kb_relative_information_score: 66.6959, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6392, predictive_accuracy: 0.6711, prior_entropy: 2.5222, recall: 0.6711, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.9608, scimark_benchmark: 939.449, usercpu_time_millis: 2130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.5496, kappa: 0.3788, kb_relative_information_score: 61.0025, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5649, predictive_accuracy: 0.5906, prior_entropy: 2.5222, recall: 0.5906, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0512, scimark_benchmark: 1310.3951, usercpu_time_millis: 799510, usercpu_time_millis_testing: 3630, usercpu_time_millis_training: 795880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 1307.4861, usercpu_time_millis: 470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.4876, kappa: 0.2803, kb_relative_information_score: 39.7693, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.483, predictive_accuracy: 0.5101, prior_entropy: 2.5222, recall: 0.5101, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2474, root_relative_squared_error: 1.1721, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.5767, kappa: 0.4483, kb_relative_information_score: 58.0728, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.548, predictive_accuracy: 0.6309, prior_entropy: 2.5222, recall: 0.6309, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.8984, scimark_benchmark: 1066.7184, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.6672, kappa: 0.5583, kb_relative_information_score: 72.6906, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6654, predictive_accuracy: 0.7181, prior_entropy: 2.5222, recall: 0.7181, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.8205, scimark_benchmark: 1341.5768, usercpu_time_millis: 1840, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.5216, kappa: 0.3096, kb_relative_information_score: 55.8338, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5685, predictive_accuracy: 0.6107, prior_entropy: 2.5222, recall: 0.6107, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2206, root_relative_squared_error: 1.0453, scimark_benchmark: 1372.2145, usercpu_time_millis: 660, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 1368.9272, usercpu_time_millis: 580, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.687, kappa: 0.5756, kb_relative_information_score: 81.2086, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6817, predictive_accuracy: 0.7114, prior_entropy: 2.5222, recall: 0.7114, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.8829, scimark_benchmark: 1341.2341, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.4145, kappa: 0.1558, kb_relative_information_score: 36.3158, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3513, predictive_accuracy: 0.5503, prior_entropy: 2.5222, recall: 0.5503, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2371, root_relative_squared_error: 1.1235, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.6738, kappa: 0.5686, kb_relative_information_score: 81.0942, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6652, predictive_accuracy: 0.7114, prior_entropy: 2.5222, recall: 0.7114, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.9, scimark_benchmark: 1054.3694, usercpu_time_millis: 11320, usercpu_time_millis_training: 11320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 1.2796, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2113, root_relative_squared_error: 1.0011, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.6229, kappa: 0.4905, kb_relative_information_score: 69.7741, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.62, predictive_accuracy: 0.6443, prior_entropy: 2.5222, recall: 0.6443, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.9648, scimark_benchmark: 977.6382, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, build_cpu_time: 23.243, build_memory: 1482601856, f_measure: 0.613, kappa: 0.4763, kb_relative_information_score: 73.0759, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5919, predictive_accuracy: 0.6443, prior_entropy: 2.5222, recall: 0.6443, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.211, root_relative_squared_error: 0.9997, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, build_cpu_time: 8.789, build_memory: 1577060856, f_measure: 0.6154, kappa: 0.4718, kb_relative_information_score: 75.1558, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5964, predictive_accuracy: 0.6443, prior_entropy: 2.5222, recall: 0.6443, relative_absolute_error: 0.4999, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.9792, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, build_cpu_time: 6.345, build_memory: 1300881280, f_measure: 0.6211, kappa: 0.4866, kb_relative_information_score: 76.3635, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6004, predictive_accuracy: 0.6577, prior_entropy: 2.5222, recall: 0.6577, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.9458, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, build_cpu_time: 0.649, build_memory: 78097832, f_measure: 0.6167, kappa: 0.4778, kb_relative_information_score: 49.9521, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6244, predictive_accuracy: 0.6711, prior_entropy: 2.5222, recall: 0.6711, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.865, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, build_cpu_time: 0.657, build_memory: 167966968, f_measure: 0.6167, kappa: 0.4778, kb_relative_information_score: 49.9521, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6244, predictive_accuracy: 0.6711, prior_entropy: 2.5222, recall: 0.6711, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.865, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, build_cpu_time: 0.594, build_memory: 1438682208, f_measure: 0.6167, kappa: 0.4778, kb_relative_information_score: 49.9521, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6244, predictive_accuracy: 0.6711, prior_entropy: 2.5222, recall: 0.6711, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.865, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, build_cpu_time: 1.032, build_memory: 1560771448, f_measure: 0.6167, kappa: 0.4778, kb_relative_information_score: 49.9521, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6244, predictive_accuracy: 0.6711, prior_entropy: 2.5222, recall: 0.6711, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.865, scimark_benchmark: 927.1482,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, build_cpu_time: 0.01, build_memory: 281289888, f_measure: 0.4784, kappa: 0.2545, kb_relative_information_score: 40.6342, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.4676, predictive_accuracy: 0.5101, prior_entropy: 2.5222, recall: 0.5101, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.1727, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, build_cpu_time: 0.013, build_memory: 1851343040, f_measure: 0.4784, kappa: 0.2545, kb_relative_information_score: 40.6342, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.4676, predictive_accuracy: 0.5101, prior_entropy: 2.5222, recall: 0.5101, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.1727, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, build_cpu_time: 0.339, build_memory: 1293792696, f_measure: 0.582, kappa: 0.4096, kb_relative_information_score: 57.1197, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6035, predictive_accuracy: 0.6577, prior_entropy: 2.5222, recall: 0.6577, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.8408, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, build_cpu_time: 6.949, build_memory: 1095504472, f_measure: 0.6417, kappa: 0.5061, kb_relative_information_score: 78.9249, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6789, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.8585, scimark_benchmark: 943.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, build_cpu_time: 0.566, build_memory: 405034872, f_measure: 0.3371, kb_relative_information_score: -3.729, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 1.2635, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.1025, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, build_cpu_time: 0.452, build_memory: 920316592, f_measure: 0.6309, kappa: 0.4977, kb_relative_information_score: 4.0687, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6515, predictive_accuracy: 0.6846, prior_entropy: 2.5222, recall: 0.6846, relative_absolute_error: 1.252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2305, root_relative_squared_error: 1.0921, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, build_cpu_time: 270.725, build_memory: 262214568, f_measure: 0.5293, kappa: 0.3444, kb_relative_information_score: 50.8473, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5417, predictive_accuracy: 0.5638, prior_entropy: 2.5222, recall: 0.5638, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2298, root_relative_squared_error: 1.089, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, build_cpu_time: 0.668, build_memory: 1270900312, f_measure: 0.632, kappa: 0.5074, kb_relative_information_score: 70.876, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6564, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7914, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, build_cpu_time: 0.079, build_memory: 624043296, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 438277616, f_measure: 0.3371, kb_relative_information_score: 1.2796, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2113, root_relative_squared_error: 1.0011, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 699220488, f_measure: 0.3371, kb_relative_information_score: 1.2796, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2113, root_relative_squared_error: 1.0011, scimark_benchmark: 922.5645,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.016, build_memory: 906830392, f_measure: 0.618, kappa: 0.4679, kb_relative_information_score: 68.4526, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6102, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9989, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.017, build_memory: 536921264, f_measure: 0.618, kappa: 0.4679, kb_relative_information_score: 68.4526, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6102, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9989, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.017, build_memory: 50147112, f_measure: 0.618, kappa: 0.4679, kb_relative_information_score: 68.4526, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6102, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.9989, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 3.765, build_memory: 1649206248, f_measure: 0.6212, kappa: 0.481, kb_relative_information_score: 4.1519, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6729, predictive_accuracy: 0.6846, prior_entropy: 2.5222, recall: 0.6846, relative_absolute_error: 1.2507, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2302, root_relative_squared_error: 1.0907, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 3.412, build_memory: 1644655848, f_measure: 0.6212, kappa: 0.481, kb_relative_information_score: 4.1519, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6729, predictive_accuracy: 0.6846, prior_entropy: 2.5222, recall: 0.6846, relative_absolute_error: 1.2507, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2302, root_relative_squared_error: 1.0907, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 7.898, build_memory: 1293760184, f_measure: 0.6275, kappa: 0.4963, kb_relative_information_score: 4.2682, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6694, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 1.2497, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2301, root_relative_squared_error: 1.0902, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 15.087, build_memory: 1097772912, f_measure: 0.6288, kappa: 0.4939, kb_relative_information_score: 4.2292, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6521, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 1.2496, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2301, root_relative_squared_error: 1.0902, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 33.261, build_memory: 906753456, f_measure: 0.6077, kappa: 0.4691, kb_relative_information_score: 4.2876, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6779, prior_entropy: 2.5222, recall: 0.6779, relative_absolute_error: 1.2491, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.23, root_relative_squared_error: 1.09, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 52.572, build_memory: 1071979840, f_measure: 0.6163, kappa: 0.4741, kb_relative_information_score: 4.246, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6662, predictive_accuracy: 0.6779, prior_entropy: 2.5222, recall: 0.6779, relative_absolute_error: 1.2495, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2301, root_relative_squared_error: 1.0901, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, build_cpu_time: 6.177, build_memory: 922543600, f_measure: 0.6594, kappa: 0.5454, kb_relative_information_score: 69.6223, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6845, predictive_accuracy: 0.7181, prior_entropy: 2.5222, recall: 0.7181, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.7799, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, build_cpu_time: 3.608, build_memory: 16295712, f_measure: 0.6622, kappa: 0.5477, kb_relative_information_score: 70.9588, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6814, predictive_accuracy: 0.7181, prior_entropy: 2.5222, recall: 0.7181, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7753, scimark_benchmark: 938.8806,

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