Task
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 4200 Supervised Classification SPECT 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7973, kappa: 0.3706, kb_relative_information_score: 479.5627, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7945, predictive_accuracy: 0.8007, prior_entropy: 0.738, recall: 0.8007, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9518, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8079, kappa: 0.3886, kb_relative_information_score: 436.5849, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8033, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8992, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8095, kappa: 0.3828, kb_relative_information_score: 456.5469, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8067, predictive_accuracy: 0.8243, prior_entropy: 0.738, recall: 0.8243, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8795, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8233, kappa: 0.4419, kb_relative_information_score: 726.9605, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8197, predictive_accuracy: 0.83, prior_entropy: 0.738, recall: 0.83, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8532, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 523.4008, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0328, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7973, kappa: 0.3706, kb_relative_information_score: 479.5627, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7945, predictive_accuracy: 0.8007, prior_entropy: 0.738, recall: 0.8007, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9518, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8096, kappa: 0.4021, kb_relative_information_score: 184.1505, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8058, predictive_accuracy: 0.8154, prior_entropy: 0.738, recall: 0.8154, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8963, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8079, kappa: 0.3886, kb_relative_information_score: 436.5849, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8033, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8992, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 523.4008, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0328, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8095, kappa: 0.3828, kb_relative_information_score: 456.5469, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8067, predictive_accuracy: 0.8243, prior_entropy: 0.738, recall: 0.8243, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8795, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8027, kappa: 0.411, kb_relative_information_score: 548.845, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8081, predictive_accuracy: 0.7985, prior_entropy: 0.738, recall: 0.7985, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9813, scimark_benchmark: 932.438, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8108, kappa: 0.3884, kb_relative_information_score: 521.8191, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8077, predictive_accuracy: 0.8247, prior_entropy: 0.738, recall: 0.8247, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8832, scimark_benchmark: 974.2014, usercpu_time_millis: 3510, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.8096, kappa: 0.3861, kb_relative_information_score: 521.8381, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8061, predictive_accuracy: 0.8228, prior_entropy: 0.738, recall: 0.8228, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.885, scimark_benchmark: 941.7587, usercpu_time_millis: 1640, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.8118, kappa: 0.393, kb_relative_information_score: 522.3314, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8086, predictive_accuracy: 0.8251, prior_entropy: 0.738, recall: 0.8251, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.8845, scimark_benchmark: 939.3535, usercpu_time_millis: 570, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8089, kappa: 0.3846, kb_relative_information_score: 512.9487, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8051, predictive_accuracy: 0.8217, prior_entropy: 0.738, recall: 0.8217, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8874, scimark_benchmark: 914.3583, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.8095, kappa: 0.3851, kb_relative_information_score: 517.3089, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8062, predictive_accuracy: 0.8232, prior_entropy: 0.738, recall: 0.8232, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.8903, scimark_benchmark: 941.9549, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8258, kappa: 0.4531, kb_relative_information_score: 628.9933, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8311, prior_entropy: 0.738, recall: 0.8311, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8689, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8258, kappa: 0.4531, kb_relative_information_score: 628.9933, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8311, prior_entropy: 0.738, recall: 0.8311, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8689, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8258, kappa: 0.4531, kb_relative_information_score: 628.9933, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8311, prior_entropy: 0.738, recall: 0.8311, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8689, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8258, kappa: 0.4531, kb_relative_information_score: 628.9933, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8311, prior_entropy: 0.738, recall: 0.8311, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8689, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.8258, kappa: 0.4531, kb_relative_information_score: 628.9933, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8226, predictive_accuracy: 0.8311, prior_entropy: 0.738, recall: 0.8311, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.8689, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.7028, kb_relative_information_score: -12.8687, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.6304, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4045, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8267, kappa: 0.4381, kb_relative_information_score: 973.2047, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8265, predictive_accuracy: 0.8404, prior_entropy: 0.738, recall: 0.8404, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.8971, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8079, kappa: 0.4731, kb_relative_information_score: 523.4008, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8406, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0328, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8027, kappa: 0.411, kb_relative_information_score: 548.845, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8081, predictive_accuracy: 0.7985, prior_entropy: 0.738, recall: 0.7985, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9813, scimark_benchmark: 1309.0674, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.8122, kappa: 0.4102, kb_relative_information_score: 640.8678, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8085, predictive_accuracy: 0.818, prior_entropy: 0.738, recall: 0.818, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.9476, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7973, kappa: 0.3706, kb_relative_information_score: 479.5627, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7945, predictive_accuracy: 0.8007, prior_entropy: 0.738, recall: 0.8007, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9518, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.8079, kappa: 0.3886, kb_relative_information_score: 436.5849, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8033, predictive_accuracy: 0.8172, prior_entropy: 0.738, recall: 0.8172, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8992, scimark_benchmark: 1322.3407, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.8231, kappa: 0.4345, kb_relative_information_score: 558.2827, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8199, predictive_accuracy: 0.833, prior_entropy: 0.738, recall: 0.833, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8607, scimark_benchmark: 1333.0982, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8095, kappa: 0.3828, kb_relative_information_score: 456.5469, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8067, predictive_accuracy: 0.8243, prior_entropy: 0.738, recall: 0.8243, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.8795, scimark_benchmark: 1337.7902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8027, kappa: 0.411, kb_relative_information_score: 548.845, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8081, predictive_accuracy: 0.7985, prior_entropy: 0.738, recall: 0.7985, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9813, scimark_benchmark: 1314.2279, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 1325.6322, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8027, kappa: 0.411, kb_relative_information_score: 548.845, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8081, predictive_accuracy: 0.7985, prior_entropy: 0.738, recall: 0.7985, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9813, scimark_benchmark: 1382.5085, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.8149, kappa: 0.4139, kb_relative_information_score: 522.2604, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.8108, predictive_accuracy: 0.8225, prior_entropy: 0.738, recall: 0.8225, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9012, scimark_benchmark: 1371.174, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.707, kappa: 0.0127, kb_relative_information_score: 716.4113, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.7345, predictive_accuracy: 0.794, prior_entropy: 0.738, recall: 0.794, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.1222, scimark_benchmark: 1322.3461, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.825, kappa: 0.5006, kb_relative_information_score: 560.6546, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.3284, number_of_instances: 2670, precision: 0.843, predictive_accuracy: 0.8157, prior_entropy: 0.738, recall: 0.8157, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9715, scimark_benchmark: 1260.1387,

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