OpenML
Supervised Classification on elusage

Supervised Classification on elusage

Task 3655 Supervised Classification elusage 524 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 38.4528, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6384, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8154, kappa: 0.6233, kb_relative_information_score: 34.3924, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8218, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7585, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.6144, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6816, scimark_benchmark: 942.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 42.6905, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.666, scimark_benchmark: 1338.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.5105, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6877, scimark_benchmark: 1315.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 35.4077, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6403, scimark_benchmark: 1413.089, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8506, kappa: 0.6957, kb_relative_information_score: 37.861, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8691, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5926, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6472, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6077, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.6144, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6816, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 37.0464, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6046, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.6019, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7446, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 35.901, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6294, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 36.2924, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6258, scimark_benchmark: 1291.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 36.0839, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6287, scimark_benchmark: 940.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 35.9171, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8376, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6234, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 38.4528, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6384, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.5856, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7436, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.5639, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7396, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.3963, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7202, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.5512, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6775, scimark_benchmark: 942.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 39.3922, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6155, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 37.6555, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.5148, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6812, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.836, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4063, kb_relative_information_score: 5.8945, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.3177, predictive_accuracy: 0.5636, prior_entropy: 0.9891, recall: 0.5636, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6606, root_relative_squared_error: 1.332, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.602, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.769, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9093, kappa: 0.8161, kb_relative_information_score: 31.3086, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.9101, predictive_accuracy: 0.9091, prior_entropy: 0.9891, recall: 0.9091, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5816, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 33.8549, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6825, scimark_benchmark: 939.5088, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 40.3019, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6483, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 36.315, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7212, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 39.7995, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6344, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 35.5136, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.1567, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7404, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 38.4528, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6384, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.602, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.769, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5828, kappa: 0.2006, kb_relative_information_score: 14.0714, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.675, predictive_accuracy: 0.6364, prior_entropy: 0.9891, recall: 0.6364, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.603, root_relative_squared_error: 1.2159, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 36.3901, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7173, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 42.6905, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.666, scimark_benchmark: 1351.788,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 0.0277, build_memory: 512371356.3636, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 36.5594, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8003, scimark_benchmark: 916.3022,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, build_cpu_time: 0.0444, build_memory: 1036902037.5273, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 36.6086, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.778, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 0.08, build_memory: 851335249.6, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 37.1389, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7567, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.1539, build_memory: 399112118.8364, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.0057, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3082, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7409, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.2092, build_memory: 825014912.8727, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.2486, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7379, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, build_cpu_time: 0.1864, build_memory: 648351373.6727, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.2486, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7379, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.0057, build_memory: 224293618.3273, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.3069, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7325, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.0035, build_memory: 1290768510.4, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.3069, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7325, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, build_cpu_time: 0.0039, build_memory: 570631677.8182, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.3069, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7325, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, build_cpu_time: 0.0017, build_memory: 733709208, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.3026, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7325, scimark_benchmark: 909.5718,

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