Task
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 4571 Supervised Classification primary-tumor 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8492, kappa: 0.5822, kb_relative_information_score: 1463.7855, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8495, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7687, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8165, kappa: 0.4891, kb_relative_information_score: 1116.1782, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8156, predictive_accuracy: 0.8254, prior_entropy: 0.8101, recall: 0.8254, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8077, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8619, kappa: 0.6177, kb_relative_information_score: 1494.8614, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8625, predictive_accuracy: 0.8673, prior_entropy: 0.8101, recall: 0.8673, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7647, scimark_benchmark: 936.8075, usercpu_time_millis: 3160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.838, kappa: 0.5541, kb_relative_information_score: 1473.7816, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8367, predictive_accuracy: 0.8431, prior_entropy: 0.8101, recall: 0.8431, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8049, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8437, kappa: 0.5651, kb_relative_information_score: 1292.6808, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8449, predictive_accuracy: 0.8513, prior_entropy: 0.8101, recall: 0.8513, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7818, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8437, kappa: 0.5651, kb_relative_information_score: 1292.6808, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8449, predictive_accuracy: 0.8513, prior_entropy: 0.8101, recall: 0.8513, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7818, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8492, kappa: 0.5822, kb_relative_information_score: 1463.7855, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8495, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7687, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 937.5683, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 926.5462, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8165, kappa: 0.4891, kb_relative_information_score: 1116.1782, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8156, predictive_accuracy: 0.8254, prior_entropy: 0.8101, recall: 0.8254, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8077, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8619, kappa: 0.6177, kb_relative_information_score: 1494.8613, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8625, predictive_accuracy: 0.8673, prior_entropy: 0.8101, recall: 0.8673, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7647, scimark_benchmark: 763.3895, usercpu_time_millis: 2280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.838, kappa: 0.5541, kb_relative_information_score: 1473.7816, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8367, predictive_accuracy: 0.8431, prior_entropy: 0.8101, recall: 0.8431, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8049, scimark_benchmark: 941.3057, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8437, kappa: 0.5651, kb_relative_information_score: 1292.6808, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8449, predictive_accuracy: 0.8513, prior_entropy: 0.8101, recall: 0.8513, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7818, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8489, kappa: 0.582, kb_relative_information_score: 1365.0522, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8486, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.6056, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7574, scimark_benchmark: 936.2574, usercpu_time_millis: 3310, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.848, kappa: 0.5792, kb_relative_information_score: 1357.779, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8479, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7596, scimark_benchmark: 938.4601, usercpu_time_millis: 1950, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8486, kappa: 0.5805, kb_relative_information_score: 1366.1302, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8549, prior_entropy: 0.8101, recall: 0.8549, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.328, root_relative_squared_error: 0.7597, scimark_benchmark: 941.3057, usercpu_time_millis: 650, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8457, kappa: 0.5727, kb_relative_information_score: 1360.5051, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8456, predictive_accuracy: 0.8519, prior_entropy: 0.8101, recall: 0.8519, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.7629, scimark_benchmark: 922.613, usercpu_time_millis: 330, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8319, kappa: 0.533, kb_relative_information_score: 1354.29, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8317, predictive_accuracy: 0.8395, prior_entropy: 0.8101, recall: 0.8395, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.77, scimark_benchmark: 896.2181, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8428, kappa: 0.5688, kb_relative_information_score: 1613.1417, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8414, predictive_accuracy: 0.8469, prior_entropy: 0.8101, recall: 0.8469, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7685, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8428, kappa: 0.5688, kb_relative_information_score: 1613.1417, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8414, predictive_accuracy: 0.8469, prior_entropy: 0.8101, recall: 0.8469, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7685, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8428, kappa: 0.5688, kb_relative_information_score: 1613.0222, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8414, predictive_accuracy: 0.8469, prior_entropy: 0.8101, recall: 0.8469, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7685, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8436, kappa: 0.5708, kb_relative_information_score: 1613.5043, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8422, predictive_accuracy: 0.8478, prior_entropy: 0.8101, recall: 0.8478, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.7663, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8401, kappa: 0.5598, kb_relative_information_score: 1560.6469, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8389, predictive_accuracy: 0.8451, prior_entropy: 0.8101, recall: 0.8451, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7623, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -8.2134, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8444, kappa: 0.5739, kb_relative_information_score: 1828.8014, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8429, predictive_accuracy: 0.8481, prior_entropy: 0.8101, recall: 0.8481, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.8436, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8428, kappa: 0.568, kb_relative_information_score: 1799.3538, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8414, predictive_accuracy: 0.8472, prior_entropy: 0.8101, recall: 0.8472, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8428, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8198, kappa: 0.4984, kb_relative_information_score: 1211.5147, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8193, predictive_accuracy: 0.8286, prior_entropy: 0.8101, recall: 0.8286, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8217, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8619, kappa: 0.6177, kb_relative_information_score: 1494.8613, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8625, predictive_accuracy: 0.8673, prior_entropy: 0.8101, recall: 0.8673, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7647, scimark_benchmark: 1316.6799, usercpu_time_millis: 1960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1940,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.838, kappa: 0.5541, kb_relative_information_score: 1473.7816, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8367, predictive_accuracy: 0.8431, prior_entropy: 0.8101, recall: 0.8431, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8049, scimark_benchmark: 1306.9281, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8437, kappa: 0.5651, kb_relative_information_score: 1292.6808, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8449, predictive_accuracy: 0.8513, prior_entropy: 0.8101, recall: 0.8513, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7818, scimark_benchmark: 1309.2287, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8508, kappa: 0.5871, kb_relative_information_score: 1442.6428, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8508, predictive_accuracy: 0.8566, prior_entropy: 0.8101, recall: 0.8566, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7914, scimark_benchmark: 1330.3852, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8492, kappa: 0.5822, kb_relative_information_score: 1463.7855, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8495, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7687, scimark_benchmark: 1321.4771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8165, kappa: 0.4891, kb_relative_information_score: 1116.1782, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8156, predictive_accuracy: 0.8254, prior_entropy: 0.8101, recall: 0.8254, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8077, scimark_benchmark: 1317.2327, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 1344.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.838, kappa: 0.5541, kb_relative_information_score: 1473.7816, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8367, predictive_accuracy: 0.8431, prior_entropy: 0.8101, recall: 0.8431, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8049, scimark_benchmark: 1341.334, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8166, kappa: 0.4903, kb_relative_information_score: 1133.1526, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8155, predictive_accuracy: 0.8251, prior_entropy: 0.8101, recall: 0.8251, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7955, scimark_benchmark: 1348.2804, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 1417.3093, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs