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Supervised Classification on desharnais

Supervised Classification on desharnais

Task 3922 Supervised Classification desharnais 362 runs submitted
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  • study_1 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6768, kappa: 0.4605, kb_relative_information_score: 25.1431, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6423, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6763, kappa: 0.4394, kb_relative_information_score: 23.3941, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6689, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9382, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.6867, kappa: 0.4361, kb_relative_information_score: 38.2629, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6885, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9012, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9026, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6614, kappa: 0.3922, kb_relative_information_score: 28.987, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6648, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8534, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6834, kappa: 0.4281, kb_relative_information_score: 27.5488, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7017, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8958, scimark_benchmark: 927.2917, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6834, kappa: 0.4281, kb_relative_information_score: 27.5488, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7017, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8958, scimark_benchmark: 938.5498, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6763, kappa: 0.4394, kb_relative_information_score: 23.3941, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6689, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.9382, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6614, kappa: 0.3922, kb_relative_information_score: 28.987, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6648, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8534, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6834, kappa: 0.4281, kb_relative_information_score: 27.5488, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7017, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8958, scimark_benchmark: 926.5462, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.731, kappa: 0.5166, kb_relative_information_score: 29.0064, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7414, predictive_accuracy: 0.7407, prior_entropy: 1.3765, recall: 0.7407, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.8285, scimark_benchmark: 937.5683, usercpu_time_millis: 500, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7221, kappa: 0.4958, kb_relative_information_score: 28.6715, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7301, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.8408, scimark_benchmark: 904.5548, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.731, kappa: 0.5116, kb_relative_information_score: 28.4741, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7578, predictive_accuracy: 0.7407, prior_entropy: 1.3765, recall: 0.7407, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8321, scimark_benchmark: 933.9, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.6616, kappa: 0.399, kb_relative_information_score: 26.0621, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6633, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.8595, scimark_benchmark: 897.0978, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6685, kappa: 0.4031, kb_relative_information_score: 23.9842, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6688, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9055, scimark_benchmark: 934.929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4415, f_measure: 0.4114, kb_relative_information_score: -0.0796, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0014, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.1049, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8925, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 18.2429, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8935, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6668, kappa: 0.449, kb_relative_information_score: 21.6251, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6251, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9043, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6541, kappa: 0.4214, kb_relative_information_score: 26.8808, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6133, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9759, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6834, kappa: 0.4281, kb_relative_information_score: 27.5488, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7017, predictive_accuracy: 0.7037, prior_entropy: 1.3765, recall: 0.7037, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.8958, scimark_benchmark: 1317.2327, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9026, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.7795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9026, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7869, kappa: 0.6178, kb_relative_information_score: 29.7829, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.8061, predictive_accuracy: 0.7901, prior_entropy: 1.3765, recall: 0.7901, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.82, scimark_benchmark: 1354.5533, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.6867, kappa: 0.4361, kb_relative_information_score: 38.2629, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6885, predictive_accuracy: 0.6914, prior_entropy: 1.3765, recall: 0.6914, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9012, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7257, kappa: 0.5038, kb_relative_information_score: 30.7546, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.7303, predictive_accuracy: 0.7284, prior_entropy: 1.3765, recall: 0.7284, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9264, scimark_benchmark: 1338.6772, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4114, kb_relative_information_score: 16.8199, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.3225, predictive_accuracy: 0.5679, prior_entropy: 1.3765, recall: 0.5679, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.2344, scimark_benchmark: 1348.2804, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6614, kappa: 0.3922, kb_relative_information_score: 28.987, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6648, predictive_accuracy: 0.679, prior_entropy: 1.3765, recall: 0.679, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.371, root_relative_squared_error: 0.8534, scimark_benchmark: 1360.8788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6969, kappa: 0.4651, kb_relative_information_score: 24.739, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.3804, number_of_instances: 81, precision: 0.6982, predictive_accuracy: 0.716, prior_entropy: 1.3765, recall: 0.716, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4348, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9096, scimark_benchmark: 1342.4614,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs