Task
Supervised Classification on kc1-top5

Supervised Classification on kc1-top5

Task 4603 Supervised Classification kc1-top5 187 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.915, kappa: 0.1968, kb_relative_information_score: -364.4703, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9163, predictive_accuracy: 0.9138, prior_entropy: 0.3323, recall: 0.9138, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.2324, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.9408, kappa: 0.3715, kb_relative_information_score: -14.7255, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9378, predictive_accuracy: 0.9476, prior_entropy: 0.3323, recall: 0.9476, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9542, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.9161, kappa: 0.1706, kb_relative_information_score: -251.973, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9136, predictive_accuracy: 0.9186, prior_entropy: 0.3323, recall: 0.9186, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2655, root_relative_squared_error: 1.1626, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 944.1067, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.9165, kappa: 0.0251, kb_relative_information_score: -365.6542, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9008, predictive_accuracy: 0.9372, prior_entropy: 0.3323, recall: 0.9372, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9487, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.9132, kappa: -0.0167, kb_relative_information_score: -160.8884, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8922, predictive_accuracy: 0.9352, prior_entropy: 0.3323, recall: 0.9352, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2343, root_relative_squared_error: 1.0257, scimark_benchmark: 908.6124, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.9232, kappa: 0.2548, kb_relative_information_score: -139.8729, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9223, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.1672, scimark_benchmark: 944.1067, usercpu_time_millis: 1230, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9343, kappa: 0.2827, kb_relative_information_score: -334.6959, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9302, predictive_accuracy: 0.9441, prior_entropy: 0.3323, recall: 0.9441, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.904, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 944.1783, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 944.1783, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9343, kappa: 0.2827, kb_relative_information_score: -334.6959, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9302, predictive_accuracy: 0.9441, prior_entropy: 0.3323, recall: 0.9441, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.904, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.915, kappa: 0.1968, kb_relative_information_score: -364.4703, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9163, predictive_accuracy: 0.9138, prior_entropy: 0.3323, recall: 0.9138, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.2324, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.9408, kappa: 0.3715, kb_relative_information_score: -17.5042, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9378, predictive_accuracy: 0.9476, prior_entropy: 0.3323, recall: 0.9476, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9546, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.9161, kappa: 0.1706, kb_relative_information_score: -251.973, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9136, predictive_accuracy: 0.9186, prior_entropy: 0.3323, recall: 0.9186, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2655, root_relative_squared_error: 1.1626, scimark_benchmark: 944.0133, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 941.7976, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 943.6618, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.9165, kappa: 0.0251, kb_relative_information_score: -365.6542, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9008, predictive_accuracy: 0.9372, prior_entropy: 0.3323, recall: 0.9372, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.9487, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.9132, kappa: -0.0167, kb_relative_information_score: -160.8884, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8922, predictive_accuracy: 0.9352, prior_entropy: 0.3323, recall: 0.9352, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2343, root_relative_squared_error: 1.0257, scimark_benchmark: 933.3455, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9343, kappa: 0.2827, kb_relative_information_score: -334.6959, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9302, predictive_accuracy: 0.9441, prior_entropy: 0.3323, recall: 0.9441, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.904, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.9228, kappa: 0.1672, kb_relative_information_score: -240.87, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9154, predictive_accuracy: 0.9331, prior_entropy: 0.3323, recall: 0.9331, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.9565, scimark_benchmark: 1171.0303, usercpu_time_millis: 9690, usercpu_time_millis_testing: 5070, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.9262, kappa: 0.211, kb_relative_information_score: -185.3766, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.92, predictive_accuracy: 0.9352, prior_entropy: 0.3323, recall: 0.9352, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9503, scimark_benchmark: 908.9569, usercpu_time_millis: 4410, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.9244, kappa: 0.1844, kb_relative_information_score: -205.6887, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9174, predictive_accuracy: 0.9345, prior_entropy: 0.3323, recall: 0.9345, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.218, root_relative_squared_error: 0.9547, scimark_benchmark: 936.2727, usercpu_time_millis: 1570, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.927, kappa: 0.2313, kb_relative_information_score: -234.4686, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9215, predictive_accuracy: 0.9345, prior_entropy: 0.3323, recall: 0.9345, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9595, scimark_benchmark: 930.2337, usercpu_time_millis: 940, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.9271, kappa: 0.2161, kb_relative_information_score: -373.6619, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9209, predictive_accuracy: 0.9366, prior_entropy: 0.3323, recall: 0.9366, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9766, scimark_benchmark: 941.8684, usercpu_time_millis: 360, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9315, kappa: 0.2723, kb_relative_information_score: 119.6434, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9266, predictive_accuracy: 0.9393, prior_entropy: 0.3323, recall: 0.9393, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2344, root_relative_squared_error: 1.0261, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9315, kappa: 0.2723, kb_relative_information_score: 119.6434, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9266, predictive_accuracy: 0.9393, prior_entropy: 0.3323, recall: 0.9393, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2344, root_relative_squared_error: 1.0261, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9315, kappa: 0.2723, kb_relative_information_score: 119.6434, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9266, predictive_accuracy: 0.9393, prior_entropy: 0.3323, recall: 0.9393, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2344, root_relative_squared_error: 1.0261, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9315, kappa: 0.2723, kb_relative_information_score: 119.6434, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9266, predictive_accuracy: 0.9393, prior_entropy: 0.3323, recall: 0.9393, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2344, root_relative_squared_error: 1.0261, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.9315, kappa: 0.2723, kb_relative_information_score: 124.3215, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9266, predictive_accuracy: 0.9393, prior_entropy: 0.3323, recall: 0.9393, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2325, root_relative_squared_error: 1.0178, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.391, f_measure: 0.918, kb_relative_information_score: -118.0198, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.0016, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.9372, kappa: 0.353, kb_relative_information_score: 280.8178, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9338, predictive_accuracy: 0.9421, prior_entropy: 0.3323, recall: 0.9421, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2404, root_relative_squared_error: 1.0526, scimark_benchmark: 929.0296, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.9367, kappa: 0.344, kb_relative_information_score: 318.9104, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9331, predictive_accuracy: 0.9421, prior_entropy: 0.3323, recall: 0.9421, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0428, scimark_benchmark: 929.0296, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9014, kappa: 0.2633, kb_relative_information_score: -819.4683, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9282, predictive_accuracy: 0.8821, prior_entropy: 0.3323, recall: 0.8821, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.339, root_relative_squared_error: 1.4845, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1350.7721, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.9232, kappa: 0.2548, kb_relative_information_score: -139.8729, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9223, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.1672, scimark_benchmark: 1310.6554, usercpu_time_millis: 1350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9343, kappa: 0.2827, kb_relative_information_score: -334.6959, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9302, predictive_accuracy: 0.9441, prior_entropy: 0.3323, recall: 0.9441, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.904, scimark_benchmark: 1347.3402, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.9241, kappa: 0.2594, kb_relative_information_score: -168.5472, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9228, predictive_accuracy: 0.9255, prior_entropy: 0.3323, recall: 0.9255, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2676, root_relative_squared_error: 1.1718, scimark_benchmark: 1331.0047, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.9174, kappa: 0.1763, kb_relative_information_score: -200.3769, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9143, predictive_accuracy: 0.9207, prior_entropy: 0.3323, recall: 0.9207, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2608, root_relative_squared_error: 1.1418, scimark_benchmark: 1322.806, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1345.9182, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9014, kappa: 0.2633, kb_relative_information_score: -819.4683, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9282, predictive_accuracy: 0.8821, prior_entropy: 0.3323, recall: 0.8821, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.339, root_relative_squared_error: 1.4845, scimark_benchmark: 1365.0842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1364.5528, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1351.1238, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 353.8535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.8927, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284, scimark_benchmark: 1337.8124, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9014, kappa: 0.2633, kb_relative_information_score: -819.4683, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9282, predictive_accuracy: 0.8821, prior_entropy: 0.3323, recall: 0.8821, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.339, root_relative_squared_error: 1.4845, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.9232, kappa: 0.2548, kb_relative_information_score: -139.8729, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9223, predictive_accuracy: 0.9241, prior_entropy: 0.3323, recall: 0.9241, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.1672, scimark_benchmark: 1344.4042, usercpu_time_millis: 1290, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.9343, kappa: 0.2827, kb_relative_information_score: -334.6959, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9302, predictive_accuracy: 0.9441, prior_entropy: 0.3323, recall: 0.9441, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.904, scimark_benchmark: 1278.6629, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.9408, kappa: 0.3715, kb_relative_information_score: -14.7255, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9378, predictive_accuracy: 0.9476, prior_entropy: 0.3323, recall: 0.9476, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9542, scimark_benchmark: 1348.2476, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9014, kappa: 0.2633, kb_relative_information_score: -819.4683, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9282, predictive_accuracy: 0.8821, prior_entropy: 0.3323, recall: 0.8821, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.339, root_relative_squared_error: 1.4845, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.9408, kappa: 0.3715, kb_relative_information_score: -14.7255, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9378, predictive_accuracy: 0.9476, prior_entropy: 0.3323, recall: 0.9476, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9542, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.9014, kappa: 0.2633, kb_relative_information_score: -819.4683, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9282, predictive_accuracy: 0.8821, prior_entropy: 0.3323, recall: 0.8821, relative_absolute_error: 1.0749, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.339, root_relative_squared_error: 1.4845, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.9327, kappa: 0.3638, kb_relative_information_score: 17.0194, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9337, predictive_accuracy: 0.9317, prior_entropy: 0.3323, recall: 0.9317, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2447, root_relative_squared_error: 1.0716, scimark_benchmark: 1354.7191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.926, kappa: 0.2263, kb_relative_information_score: 189.7475, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9207, predictive_accuracy: 0.9331, prior_entropy: 0.3323, recall: 0.9331, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2487, root_relative_squared_error: 1.089, scimark_benchmark: 1064.8317, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.8798, kappa: 0.2379, kb_relative_information_score: -1419.5794, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9309, predictive_accuracy: 0.8462, prior_entropy: 0.3323, recall: 0.8462, relative_absolute_error: 1.4027, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.3922, root_relative_squared_error: 1.717, scimark_benchmark: 1339.8573, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.8996, kappa: 0.3021, kb_relative_information_score: -647.1627, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9359, predictive_accuracy: 0.8759, prior_entropy: 0.3323, recall: 0.8759, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2563, root_relative_squared_error: 1.1223, scimark_benchmark: 1339.8573, usercpu_time_millis: 2370, usercpu_time_millis_testing: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.9463, kappa: 0.4416, kb_relative_information_score: 423.3069, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.944, predictive_accuracy: 0.951, prior_entropy: 0.3323, recall: 0.951, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.9621, scimark_benchmark: 1341.1616, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.9408, kappa: 0.3715, kb_relative_information_score: -14.7255, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9378, predictive_accuracy: 0.9476, prior_entropy: 0.3323, recall: 0.9476, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.9542, scimark_benchmark: 1349.7981, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.92, kappa: 0.1348, kb_relative_information_score: -115.9092, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1096, number_of_instances: 1450, precision: 0.9117, predictive_accuracy: 0.931, prior_entropy: 0.3323, recall: 0.931, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2469, root_relative_squared_error: 1.0811, scimark_benchmark: 1350.073, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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