Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 173956 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 2916.6082, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2149, scimark_benchmark: 1736.8513, usercpu_time_millis: 453.125, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3102.5641, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1894, scimark_benchmark: 1736.8513, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 3118.6873, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1799, scimark_benchmark: 1736.8513, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9533, kappa: 0.9064, kb_relative_information_score: 2727.5442, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9538, predictive_accuracy: 0.9534, prior_entropy: 0.9986, recall: 0.9534, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3742, scimark_benchmark: 1736.8513, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9586, kappa: 0.917, kb_relative_information_score: 2646.0029, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.96, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4022, scimark_benchmark: 1736.8513, usercpu_time_millis: 1484.375, usercpu_time_millis_testing: 1468.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9743, kappa: 0.9486, kb_relative_information_score: 2941.1048, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9744, predictive_accuracy: 0.9743, prior_entropy: 0.9986, recall: 0.9743, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3021, scimark_benchmark: 1736.8513, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9775, kappa: 0.9549, kb_relative_information_score: 2961.3072, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 0.9986, recall: 0.9775, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.294, scimark_benchmark: 1736.8513, usercpu_time_millis: 1781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 3005.4527, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452, scimark_benchmark: 1736.8513, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9578, kappa: 0.9154, kb_relative_information_score: 2925.2247, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4115, scimark_benchmark: 1736.8513, usercpu_time_millis: 875, usercpu_time_millis_training: 875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1943.5869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6078, scimark_benchmark: 1736.8513, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9703, kappa: 0.9405, kb_relative_information_score: 3005.4527, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9707, predictive_accuracy: 0.9703, prior_entropy: 0.9986, recall: 0.9703, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3452, scimark_benchmark: 1618.1738, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
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 - 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 - 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 - No evaluations yet (or not applicable). Client side error: weka.classifiers.meta.MultiSearch: Cannot handle binary class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.meta.MultiSearch: Cannot handle binary class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.meta.MultiSearch: Cannot handle binary class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.meta.MultiSearch: Cannot handle binary class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2891.1278, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4366, scimark_benchmark: 1521.592, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9909, kappa: 0.9818, kb_relative_information_score: 2912.2274, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2141, scimark_benchmark: 1487.5191, usercpu_time_millis: 500, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 2272.3966, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5606, scimark_benchmark: 1420.3046, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8741, kappa: 0.7477, kb_relative_information_score: 1943.5869, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8743, predictive_accuracy: 0.8742, prior_entropy: 0.9986, recall: 0.8742, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6078, scimark_benchmark: 1536.6332, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9912, kappa: 0.9824, kb_relative_information_score: 2912.2445, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2141, scimark_benchmark: 1499.5967, usercpu_time_millis: 560, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3147.1038, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1445, scimark_benchmark: 1475.1836, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 3103.2369, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.9986, recall: 0.9903, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.1881, scimark_benchmark: 1480.8711, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: -0.004, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1480.3212, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2891.1278, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4366, scimark_benchmark: 1517.1516, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9524, kappa: 0.9046, kb_relative_information_score: 2891.1278, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.9986, recall: 0.9524, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4366, scimark_benchmark: 1475.9325, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9865, kappa: 0.973, kb_relative_information_score: 3072.0348, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 0.9986, recall: 0.9865, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2176, scimark_benchmark: 1595.1233, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9368, kappa: 0.8734, kb_relative_information_score: 2792.8485, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9407, predictive_accuracy: 0.9371, prior_entropy: 0.9986, recall: 0.9371, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5021, scimark_benchmark: 1633.8227, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9448, kappa: 0.8893, kb_relative_information_score: 2752.7634, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9471, predictive_accuracy: 0.9449, prior_entropy: 0.9986, recall: 0.9449, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4028, scimark_benchmark: 1713.4046, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9043, kappa: 0.8084, kb_relative_information_score: 2582.2499, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9049, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6195, scimark_benchmark: 1495.0287, usercpu_time_millis: 4140, usercpu_time_millis_testing: 4130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.3989, kappa: 0.041, kb_relative_information_score: 3.9031, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7557, predictive_accuracy: 0.541, prior_entropy: 0.9986, recall: 0.541, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9982, scimark_benchmark: 1619.6478, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8834, kappa: 0.7693, kb_relative_information_score: 2451.8793, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8982, predictive_accuracy: 0.8839, prior_entropy: 0.9986, recall: 0.8839, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6821, scimark_benchmark: 1683.555, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.4736, kappa: 0.1017, kb_relative_information_score: 424.1159, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6593, predictive_accuracy: 0.5676, prior_entropy: 0.9986, recall: 0.5676, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6576, root_relative_squared_error: 1.3165, scimark_benchmark: 1516.1213, usercpu_time_millis: 290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 3149.5061, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1407, scimark_benchmark: 1378.8233, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9737, kappa: 0.9474, kb_relative_information_score: 2792.0709, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9738, predictive_accuracy: 0.9737, prior_entropy: 0.9986, recall: 0.9737, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3218, scimark_benchmark: 1555.8943, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 679.6571, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, scimark_benchmark: 1442.8313, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9618, kappa: 0.9236, kb_relative_information_score: 2641.1464, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9625, predictive_accuracy: 0.9618, prior_entropy: 0.9986, recall: 0.9618, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3742, scimark_benchmark: 1529.5796, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 2579.5251, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9592, predictive_accuracy: 0.959, prior_entropy: 0.9986, recall: 0.959, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3797, scimark_benchmark: 1600.1928, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2090.3728, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.3914, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5392, scimark_benchmark: 1503.0277, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 2816.9169, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.942, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4868, scimark_benchmark: 1347.1944, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.9046, kappa: 0.8089, kb_relative_information_score: 2584.2556, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9047, predictive_accuracy: 0.9046, prior_entropy: 0.9986, recall: 0.9046, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6185, scimark_benchmark: 1290.4984, usercpu_time_millis: 7010, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 6050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 2575.1567, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9418, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4695, scimark_benchmark: 1333.7057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 2121.8771, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9416, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5212, scimark_benchmark: 1555.8771, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2606.1137, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.942, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.45, scimark_benchmark: 1404.2031, usercpu_time_millis: 25130, usercpu_time_millis_testing: 8290, usercpu_time_millis_training: 16840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2609.604, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4499, scimark_benchmark: 1399.9899, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9414, kappa: 0.8825, kb_relative_information_score: 2616.1784, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9426, predictive_accuracy: 0.9415, prior_entropy: 0.9986, recall: 0.9415, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4487, scimark_benchmark: 1458.9817, usercpu_time_millis: 12280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9301, kappa: 0.8598, kb_relative_information_score: 2565.9944, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9315, predictive_accuracy: 0.9302, prior_entropy: 0.9986, recall: 0.9302, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4729, scimark_benchmark: 1528.1701, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 2149.461, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5344, scimark_benchmark: 1362.8999, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2607.5732, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4498, scimark_benchmark: 1369.3903, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2612.2952, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4493, scimark_benchmark: 1643.8136, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 675.888, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8919, scimark_benchmark: 1403.4053, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 2617.3656, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9417, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.45, scimark_benchmark: 1483.6719, usercpu_time_millis: 9300, usercpu_time_millis_testing: 9270, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 2599.8752, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9418, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.46, scimark_benchmark: 1424.4719, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 2584.2678, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9418, predictive_accuracy: 0.9406, prior_entropy: 0.9986, recall: 0.9406, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.4681, scimark_benchmark: 1353.5817, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9411, kappa: 0.8818, kb_relative_information_score: 2537.8429, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9412, prior_entropy: 0.9986, recall: 0.9412, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4534, scimark_benchmark: 1416.9663, usercpu_time_millis: 13670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1788.0355, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6132, scimark_benchmark: 1572.6775, usercpu_time_millis: 41320, usercpu_time_millis_testing: 41300, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9216, kappa: 0.8428, kb_relative_information_score: 1872.5407, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9232, predictive_accuracy: 0.9218, prior_entropy: 0.9986, recall: 0.9218, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.5839, scimark_benchmark: 1664.4985, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.6659, kappa: 0.3383, kb_relative_information_score: 1135.7531, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6826, predictive_accuracy: 0.6737, prior_entropy: 0.9986, recall: 0.6737, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9699, scimark_benchmark: 1294.0895, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9408, kappa: 0.8812, kb_relative_information_score: 2618.979, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.942, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4493, scimark_benchmark: 1380.0428, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9219, kappa: 0.8434, kb_relative_information_score: 1865.9738, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9237, predictive_accuracy: 0.9221, prior_entropy: 0.9986, recall: 0.9221, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5851, scimark_benchmark: 1402.9774, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2017.4484, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5342, scimark_benchmark: 1496.6017, usercpu_time_millis: 13040, usercpu_time_millis_testing: 13020, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.979, kappa: 0.958, kb_relative_information_score: 3028.444, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9986, recall: 0.979, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2749, scimark_benchmark: 1416.417, usercpu_time_millis: 2593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1772.0309, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.616, scimark_benchmark: 1283.6457, usercpu_time_millis: 4640, usercpu_time_millis_testing: 4610, usercpu_time_millis_training: 30,

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