Task
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3500 Supervised Classification squash-unstored 383 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.7692, kappa: 0.5938, kb_relative_information_score: 26.2875, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.786, kappa: 0.6176, kb_relative_information_score: 31.8249, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7969, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.6822, kappa: 0.4643, kb_relative_information_score: 26.677, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6557, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7517, kappa: 0.5764, kb_relative_information_score: 27.4055, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7766, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7849, kappa: 0.6176, kb_relative_information_score: 31.4992, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7971, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.364, root_relative_squared_error: 0.8363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7105, kappa: 0.4855, kb_relative_information_score: 23.9389, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7229, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7852, kappa: 0.6227, kb_relative_information_score: 33.8656, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7853, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8081, kappa: 0.657, kb_relative_information_score: 36.0139, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8115, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.766, kappa: 0.599, kb_relative_information_score: 30.233, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7727, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.7774, kappa: 0.6125, kb_relative_information_score: 32.1191, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8034, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7872, kappa: 0.6227, kb_relative_information_score: 31.846, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7918, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.803, kappa: 0.6524, kb_relative_information_score: 32.8121, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8172, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.687, kappa: 0.4715, kb_relative_information_score: 17.9171, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6672, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7388, kappa: 0.5714, kb_relative_information_score: 17.7766, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7111, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8462, kappa: 0.7292, kb_relative_information_score: 30.7516, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 1.3486, recall: 0.8462, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.645, kappa: 0.3929, kb_relative_information_score: 10.8224, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6209, predictive_accuracy: 0.6731, prior_entropy: 1.3486, recall: 0.6731, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3831, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -0.2265, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4375, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7402, kappa: 0.5714, kb_relative_information_score: 22.2477, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7217, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.6844, kappa: 0.4643, kb_relative_information_score: 21.3744, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6636, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8051, kappa: 0.6524, kb_relative_information_score: 26.0312, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8166, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7517, kappa: 0.5764, kb_relative_information_score: 27.5756, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7701, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7652, kappa: 0.5829, kb_relative_information_score: 30.6665, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7797, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7853, kappa: 0.6227, kb_relative_information_score: 23.068, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7879, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7367, kappa: 0.5714, kb_relative_information_score: 18.7392, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7088, predictive_accuracy: 0.7692, prior_entropy: 1.3486, recall: 0.7692, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8421, kappa: 0.7219, kb_relative_information_score: 34.542, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.8521, predictive_accuracy: 0.8462, prior_entropy: 1.3486, recall: 0.8462, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7207, kappa: 0.5357, kb_relative_information_score: 18.1148, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.694, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.6807, kappa: 0.4788, kb_relative_information_score: 23.9727, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7585, predictive_accuracy: 0.6731, prior_entropy: 1.3486, recall: 0.6731, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.441, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.7015, kappa: 0.5, kb_relative_information_score: 26.8773, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6746, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7517, kappa: 0.5764, kb_relative_information_score: 28.0103, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7701, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7389, kappa: 0.542, kb_relative_information_score: 17.6076, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.765, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7865, kappa: 0.6227, kb_relative_information_score: 32.2793, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7867, predictive_accuracy: 0.7885, prior_entropy: 1.3486, recall: 0.7885, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8017, scimark_benchmark: 851.2074, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.596, kappa: 0.2891, kb_relative_information_score: 7.8242, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0478, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 947.1781, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7995, kappa: 0.657, kb_relative_information_score: 30.1235, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7964, predictive_accuracy: 0.8077, prior_entropy: 1.3486, recall: 0.8077, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8031, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 1352.2552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.596, kappa: 0.2891, kb_relative_information_score: 7.8242, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0478, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7186, kappa: 0.4987, kb_relative_information_score: 19.7961, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.7305, predictive_accuracy: 0.7115, prior_entropy: 1.3486, recall: 0.7115, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9385, scimark_benchmark: 1325.7874, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1325.7874, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, f_measure: 0.596, kappa: 0.2891, kb_relative_information_score: 7.8242, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.5963, predictive_accuracy: 0.5962, prior_entropy: 1.3486, recall: 0.5962, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0478, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.6501, kappa: 0.4034, kb_relative_information_score: 19.9321, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6919, predictive_accuracy: 0.6346, prior_entropy: 1.3486, recall: 0.6346, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0008, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4286, f_measure: 0.3656, kappa: -0.1429, kb_relative_information_score: -1.6944, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.3577, predictive_accuracy: 0.3846, prior_entropy: 1.3486, recall: 0.3846, relative_absolute_error: 1.0732, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.4716, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7311, kappa: 0.526, kb_relative_information_score: 26.0713, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.732, predictive_accuracy: 0.7308, prior_entropy: 1.3486, recall: 0.7308, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.842, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7215, kappa: 0.5357, kb_relative_information_score: 18.8435, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.3823, number_of_instances: 52, precision: 0.6996, predictive_accuracy: 0.75, prior_entropy: 1.3486, recall: 0.75, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4353, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.7937, scimark_benchmark: 1331.7953, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs