Task
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7633, kappa: 0.4464, kb_relative_information_score: 1131.4907, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7734, predictive_accuracy: 0.7578, prior_entropy: 0.8733, recall: 0.7578, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8874, scimark_benchmark: 1730.6397, usercpu_time_millis: 13.805, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 12.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.831, kappa: 0.5857, kb_relative_information_score: 2081.6556, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8302, predictive_accuracy: 0.8344, prior_entropy: 0.8733, recall: 0.8344, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7599, scimark_benchmark: 1147.9159, usercpu_time_millis: 7.509, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 7.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9026, kappa: 0.7642, kb_relative_information_score: 3260.4338, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9023, predictive_accuracy: 0.903, prior_entropy: 0.8733, recall: 0.903, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5989, scimark_benchmark: 1758.3457, usercpu_time_millis: 13.051, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 12.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.905, kappa: 0.77, kb_relative_information_score: 3279.0439, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9048, predictive_accuracy: 0.9054, prior_entropy: 0.8733, recall: 0.9054, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5898, scimark_benchmark: 1734.7321, usercpu_time_millis: 16.997, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 15.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8537, kappa: 0.6436, kb_relative_information_score: 2270.7302, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.853, predictive_accuracy: 0.8555, prior_entropy: 0.8733, recall: 0.8555, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7243, scimark_benchmark: 1161.843, usercpu_time_millis: 20.699, usercpu_time_millis_testing: 1.255, usercpu_time_millis_training: 19.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8679, kappa: 0.6787, kb_relative_information_score: 2551.2145, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8673, predictive_accuracy: 0.8692, prior_entropy: 0.8733, recall: 0.8692, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6911, scimark_benchmark: 1850.3454, usercpu_time_millis: 50.14, usercpu_time_millis_testing: 3.136, usercpu_time_millis_training: 47.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8613, kappa: 0.6629, kb_relative_information_score: 2630.4734, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8607, predictive_accuracy: 0.8625, prior_entropy: 0.8733, recall: 0.8625, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6893, scimark_benchmark: 1237.7675, usercpu_time_millis: 65.222, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 62.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.889, kappa: 0.7317, kb_relative_information_score: 3010.8996, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8888, predictive_accuracy: 0.8893, prior_entropy: 0.8733, recall: 0.8893, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.6361, scimark_benchmark: 1246.1907, usercpu_time_millis: 93.078, usercpu_time_millis_testing: 4.096, usercpu_time_millis_training: 88.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9031, kappa: 0.7656, kb_relative_information_score: 3436.1637, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9029, predictive_accuracy: 0.9034, prior_entropy: 0.8733, recall: 0.9034, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.588, scimark_benchmark: 1734.798, usercpu_time_millis: 103.612, usercpu_time_millis_testing: 4.188, usercpu_time_millis_training: 99.424,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8752, kappa: 0.6976, kb_relative_information_score: 2829.2379, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8748, predictive_accuracy: 0.8758, prior_entropy: 0.8733, recall: 0.8758, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6601, scimark_benchmark: 1951.7604, usercpu_time_millis: 3.775, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 3.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8038, kappa: 0.5211, kb_relative_information_score: 1750.6932, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8023, predictive_accuracy: 0.8064, prior_entropy: 0.8733, recall: 0.8064, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7875, scimark_benchmark: 1744.4862, usercpu_time_millis: 5.906, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 5.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8942, kappa: 0.7439, kb_relative_information_score: 2984.2362, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8939, predictive_accuracy: 0.8947, prior_entropy: 0.8733, recall: 0.8947, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.6265, scimark_benchmark: 1743.1401, usercpu_time_millis: 10.507, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 9.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8677, kappa: 0.6783, kb_relative_information_score: 2487.9878, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8671, predictive_accuracy: 0.869, prior_entropy: 0.8733, recall: 0.869, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6916, scimark_benchmark: 1727.1538, usercpu_time_millis: 16.895, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 15.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8993, kappa: 0.7565, kb_relative_information_score: 3336.5379, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8991, predictive_accuracy: 0.8995, prior_entropy: 0.8733, recall: 0.8995, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6013, scimark_benchmark: 1746.82, usercpu_time_millis: 17.3, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 16.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8522, kappa: 0.6386, kb_relative_information_score: 2216.5771, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8516, predictive_accuracy: 0.8546, prior_entropy: 0.8733, recall: 0.8546, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7248, scimark_benchmark: 1738.6275, usercpu_time_millis: 38.455, usercpu_time_millis_testing: 3.135, usercpu_time_millis_training: 35.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8653, kappa: 0.6725, kb_relative_information_score: 2529.3603, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8646, predictive_accuracy: 0.8664, prior_entropy: 0.8733, recall: 0.8664, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6938, scimark_benchmark: 1725.8995, usercpu_time_millis: 3.768, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8292, kappa: 0.5805, kb_relative_information_score: 2046.3569, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8286, predictive_accuracy: 0.8331, prior_entropy: 0.8733, recall: 0.8331, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7515, scimark_benchmark: 1950.229, usercpu_time_millis: 6.012, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 5.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7859, kappa: 0.4766, kb_relative_information_score: 1470.4549, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.784, predictive_accuracy: 0.7894, prior_entropy: 0.8733, recall: 0.7894, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.8227, scimark_benchmark: 1732.0212, usercpu_time_millis: 13.469, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 12.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8228, kappa: 0.5653, kb_relative_information_score: 1895.9997, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8219, predictive_accuracy: 0.8266, prior_entropy: 0.8733, recall: 0.8266, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7648, scimark_benchmark: 1991.1839, usercpu_time_millis: 18.073, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 15.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.585, kb_relative_information_score: 0.185, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1951.9975, usercpu_time_millis: 5.893, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.885, kappa: 0.722, kb_relative_information_score: 3009.6372, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8848, predictive_accuracy: 0.8853, prior_entropy: 0.8733, recall: 0.8853, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6347, scimark_benchmark: 1730.5401, usercpu_time_millis: 29.833, usercpu_time_millis_testing: 1.813, usercpu_time_millis_training: 28.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7366, kappa: 0.3865, kb_relative_information_score: 1009.1654, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7488, predictive_accuracy: 0.7298, prior_entropy: 0.8733, recall: 0.7298, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.7212, kappa: 0.3093, kb_relative_information_score: 800.7003, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7172, predictive_accuracy: 0.7319, prior_entropy: 0.8733, recall: 0.7319, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7528, kappa: 0.3917, kb_relative_information_score: 1336.0339, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7499, predictive_accuracy: 0.7591, prior_entropy: 0.8733, recall: 0.7591, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7501, kappa: 0.3813, kb_relative_information_score: 1389.6937, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7475, predictive_accuracy: 0.7593, prior_entropy: 0.8733, recall: 0.7593, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8733, kappa: 0.6946, kb_relative_information_score: 0.6705, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8734, predictive_accuracy: 0.8732, prior_entropy: 0.8732, recall: 0.8732, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.7788, kappa: 0.4548, kb_relative_information_score: 0.4411, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7769, predictive_accuracy: 0.785, prior_entropy: 0.8732, recall: 0.785, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8894, kappa: 0.7328, kb_relative_information_score: 0.6032, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8892, predictive_accuracy: 0.8895, prior_entropy: 0.8732, recall: 0.8895, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8936, kappa: 0.7431, kb_relative_information_score: 0.616, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8935, predictive_accuracy: 0.8938, prior_entropy: 0.8732, recall: 0.8938, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8948, kappa: 0.7462, kb_relative_information_score: 0.6369, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8947, predictive_accuracy: 0.8949, prior_entropy: 0.8732, recall: 0.8949, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9032, kappa: 0.766, kb_relative_information_score: 0.7003, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.903, predictive_accuracy: 0.9034, prior_entropy: 0.8732, recall: 0.9034, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8855, kappa: 0.7233, kb_relative_information_score: 0.5645, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.8858, prior_entropy: 0.8732, recall: 0.8858, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7749, kappa: 0.492, kb_relative_information_score: 0.3899, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8016, predictive_accuracy: 0.7663, prior_entropy: 0.8732, recall: 0.7663, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8749, kappa: 0.6986, kb_relative_information_score: 0.5568, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.875, predictive_accuracy: 0.8747, prior_entropy: 0.8732, recall: 0.8747, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8958, kappa: 0.7481, kb_relative_information_score: 0.6069, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.896, prior_entropy: 0.8732, recall: 0.896, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.908, kappa: 0.7775, kb_relative_information_score: 0.7559, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9078, predictive_accuracy: 0.9082, prior_entropy: 0.8732, recall: 0.9082, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8679, kappa: 0.6799, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8674, predictive_accuracy: 0.8686, prior_entropy: 0.8732, recall: 0.8686, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8715, kappa: 0.6887, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8721, prior_entropy: 0.8732, recall: 0.8721, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8927, kappa: 0.7406, kb_relative_information_score: 0.6165, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8925, predictive_accuracy: 0.893, prior_entropy: 0.8732, recall: 0.893, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.281, root_relative_squared_error: 0.6171,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, kb_relative_information_score: 362.6012, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9476,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8278, kappa: 0.58, kb_relative_information_score: 2125.3527, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8267, predictive_accuracy: 0.8301, prior_entropy: 0.8733, recall: 0.8301, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7618, scimark_benchmark: 1314.7021, usercpu_time_millis: 57.599, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 56.49,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7383, kappa: 0.3514, kb_relative_information_score: 1268.0092, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7353, predictive_accuracy: 0.7485, prior_entropy: 0.8733, recall: 0.7485, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8726, scimark_benchmark: 1302.7849, usercpu_time_millis: 69.989, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 69.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8865, kappa: 0.7251, kb_relative_information_score: 3657.0518, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8862, predictive_accuracy: 0.8871, prior_entropy: 0.8733, recall: 0.8871, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6565, scimark_benchmark: 1282.3605, usercpu_time_millis: 224.977, usercpu_time_millis_testing: 3.787, usercpu_time_millis_training: 221.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8734, kappa: 0.692, kb_relative_information_score: 2877.573, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8728, predictive_accuracy: 0.8745, prior_entropy: 0.8733, recall: 0.8745, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6721, scimark_benchmark: 1309.8743, usercpu_time_millis: 216.33, usercpu_time_millis_testing: 3.535, usercpu_time_millis_training: 212.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8703, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1309.5355, usercpu_time_millis: 13.013, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 13.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7257, kappa: 0.3156, kb_relative_information_score: 1175.4787, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7233, predictive_accuracy: 0.7406, prior_entropy: 0.8733, recall: 0.7406, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722, scimark_benchmark: 1313.2633, usercpu_time_millis: 78.231, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 78.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7267, kappa: 0.3184, kb_relative_information_score: 1182.7451, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7243, predictive_accuracy: 0.7413, prior_entropy: 0.8733, recall: 0.7413, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8721, scimark_benchmark: 1303.0969, usercpu_time_millis: 25.757, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 25.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8827, kappa: 0.7159, kb_relative_information_score: 3427.7564, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8823, predictive_accuracy: 0.8832, prior_entropy: 0.8733, recall: 0.8832, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6471, scimark_benchmark: 1279.9841, usercpu_time_millis: 310.435, usercpu_time_millis_testing: 5.299, usercpu_time_millis_training: 305.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.6318, kappa: 0.0885, kb_relative_information_score: 695.4697, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6927, predictive_accuracy: 0.7169, prior_entropy: 0.8733, recall: 0.7169, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9037, scimark_benchmark: 1308.7704, usercpu_time_millis: 41.115, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 41.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6957, kappa: 0.233, kb_relative_information_score: 791.8557, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6993, predictive_accuracy: 0.7261, prior_entropy: 0.8733, recall: 0.7261, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8861, scimark_benchmark: 1311.629, usercpu_time_millis: 30.872, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 30.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7231, kappa: 0.3086, kb_relative_information_score: 1101.3987, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7209, predictive_accuracy: 0.7389, prior_entropy: 0.8733, recall: 0.7389, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8734, scimark_benchmark: 1285.346, usercpu_time_millis: 12.34, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 12.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7362, kappa: 0.3449, kb_relative_information_score: 1240.4476, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7333, predictive_accuracy: 0.7474, prior_entropy: 0.8733, recall: 0.7474, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8722, scimark_benchmark: 1309.9562, usercpu_time_millis: 30.363, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 30.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7389, kappa: 0.3529, kb_relative_information_score: 1276.0085, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7358, predictive_accuracy: 0.7489, prior_entropy: 0.8733, recall: 0.7489, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, scimark_benchmark: 1289.6609, usercpu_time_millis: 8.435, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 8.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8823, kappa: 0.7152, kb_relative_information_score: 3301.5289, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.882, predictive_accuracy: 0.8827, prior_entropy: 0.8733, recall: 0.8827, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6438, scimark_benchmark: 1293.4408, usercpu_time_millis: 307.112, usercpu_time_millis_testing: 5.766, usercpu_time_millis_training: 301.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7319, kappa: 0.3326, kb_relative_information_score: 1210.3289, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7293, predictive_accuracy: 0.7448, prior_entropy: 0.8733, recall: 0.7448, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.872, scimark_benchmark: 1305.1712, usercpu_time_millis: 38.648, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 38.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7398, kappa: 0.3553, kb_relative_information_score: 1282.8169, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7367, predictive_accuracy: 0.7496, prior_entropy: 0.8733, recall: 0.7496, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, scimark_benchmark: 1285.5427, usercpu_time_millis: 65.544, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 65.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8602, kappa: 0.6596, kb_relative_information_score: 2595.5535, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8596, predictive_accuracy: 0.8618, prior_entropy: 0.8733, recall: 0.8618, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6978, scimark_benchmark: 1289.6967, usercpu_time_millis: 387.221, usercpu_time_millis_testing: 6.191, usercpu_time_millis_training: 381.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.585, kb_relative_information_score: 458.6965, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9027, scimark_benchmark: 1287.5926, usercpu_time_millis: 110.381, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 108.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7395, kappa: 0.3547, kb_relative_information_score: 1280.3972, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7365, predictive_accuracy: 0.7494, prior_entropy: 0.8733, recall: 0.7494, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8728, scimark_benchmark: 1310.0767, usercpu_time_millis: 18.556, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.545,

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