Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 22833 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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22833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 940.0446, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 940.0446, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 940.0446, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0222, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0123, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0222, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0123, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8961, kappa: 0.8813, kb_relative_information_score: 961.7029, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9068, predictive_accuracy: 0.8944, prior_entropy: 3.1699, recall: 0.8944, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3947, scimark_benchmark: 1230.3004, usercpu_time_millis: 680, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603, scimark_benchmark: 1230.3004, usercpu_time_millis: 2760, usercpu_time_millis_testing: 2640, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9501, kappa: 0.9438, kb_relative_information_score: 1009.6436, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.951, predictive_accuracy: 0.95, prior_entropy: 3.1699, recall: 0.95, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.2961, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603, scimark_benchmark: 1230.3004, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2640, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 143.9673, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, scimark_benchmark: 479.2609, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8503, kappa: 0.8333, kb_relative_information_score: 911.4231, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.8519, prior_entropy: 3.1699, recall: 0.8519, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5774, usercpu_time_millis: 73.178, usercpu_time_millis_testing: 13.16, usercpu_time_millis_training: 60.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 947.2457, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5123, usercpu_time_millis: 41.743, usercpu_time_millis_testing: 6.964, usercpu_time_millis_training: 34.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8786, kappa: 0.8625, kb_relative_information_score: 940.9241, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8804, predictive_accuracy: 0.8778, prior_entropy: 3.1699, recall: 0.8778, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5244, usercpu_time_millis: 95.33, usercpu_time_millis_testing: 9.32, usercpu_time_millis_training: 86.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9331, kappa: 0.924, kb_relative_information_score: 1003.0868, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9349, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.39, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7786, kappa: 0.7552, kb_relative_information_score: 831.3203, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8655, predictive_accuracy: 0.7824, prior_entropy: 3.1699, recall: 0.7824, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.696, scimark_benchmark: 473.1656, usercpu_time_millis: 11590, usercpu_time_millis_testing: 5220, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9124, kappa: 0.9021, kb_relative_information_score: 982.3532, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9137, predictive_accuracy: 0.913, prior_entropy: 3.1699, recall: 0.913, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4354, scimark_benchmark: 1254.1389, usercpu_time_millis: 151030, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 940.0446, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4638, scimark_benchmark: 473.1656, usercpu_time_millis: 7960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8503, kappa: 0.8333, kb_relative_information_score: 912.08, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.8519, prior_entropy: 3.1699, recall: 0.8519, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5531, scimark_benchmark: 473.1656, usercpu_time_millis: 28900, usercpu_time_millis_testing: 28890, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.086, kappa: 0.0156, kb_relative_information_score: 99.7467, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.3872, predictive_accuracy: 0.125, prior_entropy: 3.1699, recall: 0.125, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.3726, scimark_benchmark: 1237.8253, usercpu_time_millis: 7425810, usercpu_time_millis_testing: 8870, usercpu_time_millis_training: 7416940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9529, kappa: 0.9469, kb_relative_information_score: 1024.7876, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9535, predictive_accuracy: 0.9528, prior_entropy: 3.1699, recall: 0.9528, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.2914, scimark_benchmark: 1222.0175, usercpu_time_millis: 3960, usercpu_time_millis_testing: 3830, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8566, kappa: 0.8385, kb_relative_information_score: 777.2918, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8588, predictive_accuracy: 0.8565, prior_entropy: 3.1699, recall: 0.8565, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5391, scimark_benchmark: 1203.0694, usercpu_time_millis: 1340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8503, kappa: 0.8333, kb_relative_information_score: 912.08, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.8519, prior_entropy: 3.1699, recall: 0.8519, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5531, scimark_benchmark: 1232.914, usercpu_time_millis: 5630, usercpu_time_millis_testing: 5630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9446, kappa: 0.9375, kb_relative_information_score: 1014.1838, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9457, predictive_accuracy: 0.9444, prior_entropy: 3.1699, recall: 0.9444, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3208, scimark_benchmark: 1243.6272, usercpu_time_millis: 16250, usercpu_time_millis_testing: 12030, usercpu_time_millis_training: 4220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8259, kappa: 0.8052, kb_relative_information_score: 882.9758, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8285, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6242, usercpu_time_millis: 465.357, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 464.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.726, kappa: 0.6885, kb_relative_information_score: 764.972, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7852, predictive_accuracy: 0.7231, prior_entropy: 3.1699, recall: 0.7231, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7893, usercpu_time_millis: 140.353, usercpu_time_millis_testing: 47.093, usercpu_time_millis_training: 93.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.6088, kappa: 0.55, kb_relative_information_score: 624.8425, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6818, predictive_accuracy: 0.6, prior_entropy: 3.1699, recall: 0.6, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.9487, usercpu_time_millis: 135.304, usercpu_time_millis_testing: 39.316, usercpu_time_millis_training: 95.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.876, kappa: 0.8563, kb_relative_information_score: 934.6025, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.885, predictive_accuracy: 0.8722, prior_entropy: 3.1699, recall: 0.8722, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5362, usercpu_time_millis: 1137.47, usercpu_time_millis_testing: 110.444, usercpu_time_millis_training: 1027.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.0919, kappa: -0.001, kb_relative_information_score: 67.4852, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0862, predictive_accuracy: 0.1102, prior_entropy: 3.1699, recall: 0.1102, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.415, usercpu_time_millis: 7.421, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 7.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.916, kappa: 0.9052, kb_relative_information_score: 984.1219, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9175, predictive_accuracy: 0.9157, prior_entropy: 3.1699, recall: 0.9157, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4354, usercpu_time_millis: 65.429, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 65.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9333, kappa: 0.924, kb_relative_information_score: 1003.0868, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9356, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.39, usercpu_time_millis: 48.011, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 46.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7297, kappa: 0.6469, kb_relative_information_score: 722.8278, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8809, predictive_accuracy: 0.6861, prior_entropy: 3.1699, recall: 0.6861, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.8404, usercpu_time_millis: 157.946, usercpu_time_millis_testing: 32.345, usercpu_time_millis_training: 125.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8806, kappa: 0.8656, kb_relative_information_score: 944.0849, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8834, predictive_accuracy: 0.8806, prior_entropy: 3.1699, recall: 0.8806, relative_absolute_error: 0.1344, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5184, usercpu_time_millis: 18.69, usercpu_time_millis_testing: 18.131, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8866, kappa: 0.8688, kb_relative_information_score: 947.2457, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8986, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.1313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.161, root_relative_squared_error: 0.5123, usercpu_time_millis: 69.915, usercpu_time_millis_testing: 11.52, usercpu_time_millis_training: 58.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8503, kappa: 0.8333, kb_relative_information_score: 911.4231, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.8519, prior_entropy: 3.1699, recall: 0.8519, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5774, usercpu_time_millis: 83.442, usercpu_time_millis_testing: 14.814, usercpu_time_millis_training: 68.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8786, kappa: 0.8625, kb_relative_information_score: 940.9241, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8804, predictive_accuracy: 0.8778, prior_entropy: 3.1699, recall: 0.8778, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.5244, usercpu_time_millis: 107.042, usercpu_time_millis_testing: 10.442, usercpu_time_millis_training: 96.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9331, kappa: 0.924, kb_relative_information_score: 1003.0868, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9349, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.39, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9325, kappa: 0.9229, kb_relative_information_score: 1002.0332, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9354, predictive_accuracy: 0.9315, prior_entropy: 3.1699, recall: 0.9315, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3926, usercpu_time_millis: 13.864, usercpu_time_millis_testing: 2.487, usercpu_time_millis_training: 11.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9448, kappa: 0.9375, kb_relative_information_score: 1016.7837, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9456, predictive_accuracy: 0.9444, prior_entropy: 3.1699, recall: 0.9444, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3536, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.0804, kappa: 0.0927, kb_relative_information_score: 162.3097, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0528, predictive_accuracy: 0.1935, prior_entropy: 3.1699, recall: 0.1935, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.3471, usercpu_time_millis: 41.282, usercpu_time_millis_testing: 31.986, usercpu_time_millis_training: 9.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.2055, kappa: 0.1333, kb_relative_information_score: 203.4003, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.3063, predictive_accuracy: 0.2296, prior_entropy: 3.1699, recall: 0.2296, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3166, usercpu_time_millis: 3.576, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 3.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 176.0066, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.337, usercpu_time_millis: 40.131, usercpu_time_millis_testing: 8.902, usercpu_time_millis_training: 31.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8739, kappa: 0.8583, kb_relative_information_score: 936.7097, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8742, predictive_accuracy: 0.8741, prior_entropy: 3.1699, recall: 0.8741, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5323, usercpu_time_millis: 102.221, usercpu_time_millis_testing: 9.113, usercpu_time_millis_training: 93.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9147, kappa: 0.9042, kb_relative_information_score: 983.0683, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9163, predictive_accuracy: 0.9148, prior_entropy: 3.1699, recall: 0.9148, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4378, usercpu_time_millis: 197.025, usercpu_time_millis_testing: 14.484, usercpu_time_millis_training: 182.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9399, kappa: 0.9323, kb_relative_information_score: 1011.5157, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9409, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.368, usercpu_time_millis: 575.048, usercpu_time_millis_testing: 56.663, usercpu_time_millis_training: 518.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9197, kappa: 0.9094, kb_relative_information_score: 988.3363, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9208, predictive_accuracy: 0.9194, prior_entropy: 3.1699, recall: 0.9194, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4257, usercpu_time_millis: 431.51, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 430.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7655, kappa: 0.7167, kb_relative_information_score: 793.4193, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8472, predictive_accuracy: 0.7481, prior_entropy: 3.1699, recall: 0.7481, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7528, usercpu_time_millis: 7.744, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 6.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.1336, kappa: 0.0583, kb_relative_information_score: 127.5407, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1251, predictive_accuracy: 0.163, prior_entropy: 3.1699, recall: 0.163, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.3723, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 7.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9186, kappa: 0.9083, kb_relative_information_score: 987.2827, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9201, predictive_accuracy: 0.9185, prior_entropy: 3.1699, recall: 0.9185, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.4282, usercpu_time_millis: 39.148, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 38.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8581, kappa: 0.8375, kb_relative_information_score: 915.6376, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8636, predictive_accuracy: 0.8556, prior_entropy: 3.1699, recall: 0.8556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5701, usercpu_time_millis: 9.677, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 9.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7022, kappa: 0.6698, kb_relative_information_score: 746.0071, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8392, predictive_accuracy: 0.7065, prior_entropy: 3.1699, recall: 0.7065, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.8127, usercpu_time_millis: 13.003, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 11.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8487, kappa: 0.8292, kb_relative_information_score: 907.2087, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8516, predictive_accuracy: 0.8481, prior_entropy: 3.1699, recall: 0.8481, relative_absolute_error: 0.1708, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5845, usercpu_time_millis: 457.79, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 457.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0222, kb_relative_information_score: 68.5388, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0123, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4444, root_relative_squared_error: 1.4142, usercpu_time_millis: 1216.308, usercpu_time_millis_testing: 112.886, usercpu_time_millis_training: 1103.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8109, kappa: 0.7813, kb_relative_information_score: 851.783, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.826, predictive_accuracy: 0.8056, prior_entropy: 3.1699, recall: 0.8056, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5359, scimark_benchmark: 1183.1174, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9398, kappa: 0.9323, kb_relative_information_score: 905.1984, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9404, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.4144, scimark_benchmark: 1105.1852, usercpu_time_millis: 3830, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 3670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8674, kappa: 0.8469, kb_relative_information_score: 903.4127, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8861, predictive_accuracy: 0.8639, prior_entropy: 3.1699, recall: 0.8639, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4932, scimark_benchmark: 1221.2398, usercpu_time_millis: 8710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603, scimark_benchmark: 1051.6921, usercpu_time_millis: 3880, usercpu_time_millis_testing: 3770, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9376, kappa: 0.9292, kb_relative_information_score: 331.8204, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9393, predictive_accuracy: 0.937, prior_entropy: 3.1699, recall: 0.937, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8995, scimark_benchmark: 976.9964, usercpu_time_millis: 1630, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8232, kappa: 0.8052, kb_relative_information_score: 853.0279, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8326, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.5254, scimark_benchmark: 1214.8339, usercpu_time_millis: 8010, usercpu_time_millis_testing: 8010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8333, kappa: 0.8156, kb_relative_information_score: 790.1979, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8451, predictive_accuracy: 0.8361, prior_entropy: 3.1699, recall: 0.8361, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.566, scimark_benchmark: 1286.5783, usercpu_time_millis: 10770, usercpu_time_millis_testing: 10770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8344, kappa: 0.8094, kb_relative_information_score: 882.8057, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8494, predictive_accuracy: 0.8306, prior_entropy: 3.1699, recall: 0.8306, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.4998, scimark_benchmark: 1324.3351, usercpu_time_millis: 1600, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8407, kappa: 0.8146, kb_relative_information_score: 889.1854, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8647, predictive_accuracy: 0.8352, prior_entropy: 3.1699, recall: 0.8352, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.481, scimark_benchmark: 743.499, usercpu_time_millis: 2290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8354, kappa: 0.8115, kb_relative_information_score: 880.8986, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8485, predictive_accuracy: 0.8324, prior_entropy: 3.1699, recall: 0.8324, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4888, scimark_benchmark: 998.4419, usercpu_time_millis: 2290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7816, kappa: 0.7583, kb_relative_information_score: 836.906, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8317, predictive_accuracy: 0.7852, prior_entropy: 3.1699, recall: 0.7852, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6507, scimark_benchmark: 1082.2879, usercpu_time_millis: 2040, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8019, kappa: 0.7698, kb_relative_information_score: 838.8082, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8174, predictive_accuracy: 0.7954, prior_entropy: 3.1699, recall: 0.7954, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.5354, scimark_benchmark: 891.0526, usercpu_time_millis: 2040, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.817, kappa: 0.7906, kb_relative_information_score: 863.547, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.839, predictive_accuracy: 0.8139, prior_entropy: 3.1699, recall: 0.8139, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.5061, scimark_benchmark: 945.9358, usercpu_time_millis: 1960, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.7858, kappa: 0.7531, kb_relative_information_score: 822.0693, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8175, predictive_accuracy: 0.7806, prior_entropy: 3.1699, recall: 0.7806, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5514, scimark_benchmark: 1162.7342, usercpu_time_millis: 2110, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.828, kappa: 0.8094, kb_relative_information_score: 906.7937, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8415, predictive_accuracy: 0.8306, prior_entropy: 3.1699, recall: 0.8306, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5098, scimark_benchmark: 1112.2701, usercpu_time_millis: 9980, usercpu_time_millis_testing: 9980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8309, kappa: 0.8052, kb_relative_information_score: 881.5304, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8498, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4883, scimark_benchmark: 1055.9587, usercpu_time_millis: 1630, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.1015, kappa: 0.1094, kb_relative_information_score: 283.2639, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0881, predictive_accuracy: 0.2083, prior_entropy: 3.1699, recall: 0.2083, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9441, scimark_benchmark: 471.6477, usercpu_time_millis: 34120, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 32590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 143.9673, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, scimark_benchmark: 850.5172, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8463, kappa: 0.8229, kb_relative_information_score: 895.0928, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8632, predictive_accuracy: 0.8426, prior_entropy: 3.1699, recall: 0.8426, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4796, scimark_benchmark: 793.6384, usercpu_time_millis: 2830, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.3606, kappa: 0.3313, kb_relative_information_score: 316.9921, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.4066, predictive_accuracy: 0.4056, prior_entropy: 3.1699, recall: 0.4056, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.8969, scimark_benchmark: 896.0233, usercpu_time_millis: 3890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8903, kappa: 0.8729, kb_relative_information_score: 945.4085, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.904, predictive_accuracy: 0.887, prior_entropy: 3.1699, recall: 0.887, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4738, scimark_benchmark: 940.0109, usercpu_time_millis: 3160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8513, kappa: 0.8344, kb_relative_information_score: 911.1322, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.8528, prior_entropy: 3.1699, recall: 0.8528, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5473, scimark_benchmark: 945.8307, usercpu_time_millis: 5710, usercpu_time_millis_testing: 5430, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603, scimark_benchmark: 901.458, usercpu_time_millis: 3100, usercpu_time_millis_testing: 2830, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.956, kappa: 0.95, kb_relative_information_score: 959.2349, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9571, predictive_accuracy: 0.9556, prior_entropy: 3.1699, recall: 0.9556, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.11, root_relative_squared_error: 0.35, scimark_benchmark: 1395.6071, usercpu_time_millis: 363080, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 362980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.948, kappa: 0.9417, kb_relative_information_score: 894.5753, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9483, predictive_accuracy: 0.9481, prior_entropy: 3.1699, recall: 0.9481, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4205, scimark_benchmark: 944.8364, usercpu_time_millis: 26780, usercpu_time_millis_testing: 3200, usercpu_time_millis_training: 23580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 143.9673, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 176.0066, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7786, kappa: 0.7552, kb_relative_information_score: 831.3203, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8655, predictive_accuracy: 0.7824, prior_entropy: 3.1699, recall: 0.7824, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 143.9673, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.126, kappa: 0.1063, kb_relative_information_score: 176.0066, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.1237, predictive_accuracy: 0.2056, prior_entropy: 3.1699, recall: 0.2056, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7786, kappa: 0.7552, kb_relative_information_score: 831.3203, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8655, predictive_accuracy: 0.7824, prior_entropy: 3.1699, recall: 0.7824, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8109, kappa: 0.7813, kb_relative_information_score: 851.783, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.826, predictive_accuracy: 0.8056, prior_entropy: 3.1699, recall: 0.8056, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0222, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0123, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8081, kappa: 0.7854, kb_relative_information_score: 862.9573, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8089, predictive_accuracy: 0.8093, prior_entropy: 3.1699, recall: 0.8093, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 998.0158, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8739, kappa: 0.8583, kb_relative_information_score: 934.6447, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8742, predictive_accuracy: 0.8741, prior_entropy: 3.1699, recall: 0.8741, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9244, kappa: 0.9146, kb_relative_information_score: 991.0285, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9256, predictive_accuracy: 0.9241, prior_entropy: 3.1699, recall: 0.9241, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0222, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.0123, predictive_accuracy: 0.1111, prior_entropy: 3.1699, recall: 0.1111, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9252, kappa: 0.9156, kb_relative_information_score: 993.77, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9256, predictive_accuracy: 0.925, prior_entropy: 3.1699, recall: 0.925, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8961, kappa: 0.8813, kb_relative_information_score: 961.7029, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9068, predictive_accuracy: 0.8944, prior_entropy: 3.1699, recall: 0.8944, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8961, kappa: 0.8813, kb_relative_information_score: 961.7029, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9068, predictive_accuracy: 0.8944, prior_entropy: 3.1699, recall: 0.8944, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8584, kappa: 0.8406, kb_relative_information_score: 914.8063, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8587, predictive_accuracy: 0.8583, prior_entropy: 3.1699, recall: 0.8583, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.7957, kappa: 0.7542, kb_relative_information_score: 295.3261, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8718, predictive_accuracy: 0.7815, prior_entropy: 3.1699, recall: 0.7815, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.85, kappa: 0.8323, kb_relative_information_score: 910.3695, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8556, predictive_accuracy: 0.8509, prior_entropy: 3.1699, recall: 0.8509, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.182, root_relative_squared_error: 0.5792,

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