Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 3853 Supervised Classification eucalyptus 491 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7364, kappa: 0.3477, kb_relative_information_score: 184.0725, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7329, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8823, scimark_benchmark: 1313.5633, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7282, kappa: 0.3349, kb_relative_information_score: 194.3583, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.726, predictive_accuracy: 0.731, prior_entropy: 0.8704, recall: 0.731, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9495, scimark_benchmark: 1264.9916, usercpu_time_millis: 29710, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 29410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7364, kappa: 0.3477, kb_relative_information_score: 184.0725, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7329, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8823, scimark_benchmark: 1281.7531, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.6767, kappa: 0.1786, kb_relative_information_score: 199.3293, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6881, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.1622, scimark_benchmark: 1341.3551, usercpu_time_millis: 450, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7509, kappa: 0.4108, kb_relative_information_score: 229.4478, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7588, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0226, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7282, kappa: 0.3349, kb_relative_information_score: 194.3583, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.726, predictive_accuracy: 0.731, prior_entropy: 0.8704, recall: 0.731, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9495, scimark_benchmark: 1393.8432, usercpu_time_millis: 25130, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 24840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.7001, kappa: 0.2521, kb_relative_information_score: 130.0583, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6946, predictive_accuracy: 0.712, prior_entropy: 0.8704, recall: 0.712, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9339, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7394, kappa: 0.3534, kb_relative_information_score: 171.9678, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7359, predictive_accuracy: 0.7473, prior_entropy: 0.8704, recall: 0.7473, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8885, scimark_benchmark: 1385.8862, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7509, kappa: 0.4108, kb_relative_information_score: 229.4478, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7588, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0226, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.6767, kappa: 0.1786, kb_relative_information_score: 199.3293, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6881, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.1622, scimark_benchmark: 1334.863, usercpu_time_millis: 450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7364, kappa: 0.3477, kb_relative_information_score: 184.0725, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7329, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8823, scimark_benchmark: 1316.6741, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7509, kappa: 0.4108, kb_relative_information_score: 229.4478, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7588, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0226, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7509, kappa: 0.4108, kb_relative_information_score: 229.4478, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7588, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0226, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7368, kappa: 0.4014, kb_relative_information_score: 135.6191, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7623, predictive_accuracy: 0.7269, prior_entropy: 0.8704, recall: 0.7269, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.867, scimark_benchmark: 1278.9821, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.6767, kappa: 0.1786, kb_relative_information_score: 199.3293, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6881, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.1622, scimark_benchmark: 1333.202, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1340.5125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7394, kappa: 0.3534, kb_relative_information_score: 171.9678, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7359, predictive_accuracy: 0.7473, prior_entropy: 0.8704, recall: 0.7473, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8885, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.6767, kappa: 0.1786, kb_relative_information_score: 199.3293, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6881, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6749, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.1622, scimark_benchmark: 1342.8584, usercpu_time_millis: 450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7368, kappa: 0.4014, kb_relative_information_score: 135.6191, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7623, predictive_accuracy: 0.7269, prior_entropy: 0.8704, recall: 0.7269, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.867, scimark_benchmark: 1336.0954, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7324, kappa: 0.3428, kb_relative_information_score: 229.2568, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7296, predictive_accuracy: 0.7364, prior_entropy: 0.8704, recall: 0.7364, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0115, scimark_benchmark: 1292.514, usercpu_time_millis: 2650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7364, kappa: 0.3477, kb_relative_information_score: 184.0725, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7329, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8823, scimark_benchmark: 1318.6467, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7368, kappa: 0.4014, kb_relative_information_score: 135.6191, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7623, predictive_accuracy: 0.7269, prior_entropy: 0.8704, recall: 0.7269, relative_absolute_error: 0.7828, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.867, scimark_benchmark: 1313.8988, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7331, kappa: 0.3583, kb_relative_information_score: 210.7246, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7356, predictive_accuracy: 0.731, prior_entropy: 0.8704, recall: 0.731, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7304, kappa: 0.3654, kb_relative_information_score: 146.0276, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7405, predictive_accuracy: 0.7242, prior_entropy: 0.8704, recall: 0.7242, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.9168, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7399, kappa: 0.3839, kb_relative_information_score: 187.794, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7474, predictive_accuracy: 0.7351, prior_entropy: 0.8704, recall: 0.7351, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9185, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7248, kappa: 0.3573, kb_relative_information_score: 145.3135, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7382, predictive_accuracy: 0.7174, prior_entropy: 0.8704, recall: 0.7174, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8922, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6636, kappa: 0.361, kb_relative_information_score: -64.562, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.8116, predictive_accuracy: 0.6522, prior_entropy: 0.8704, recall: 0.6522, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7322, kappa: 0.3396, kb_relative_information_score: 222.8386, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7288, predictive_accuracy: 0.7378, prior_entropy: 0.8704, recall: 0.7378, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.717, kappa: 0.3129, kb_relative_information_score: 147.8273, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7166, predictive_accuracy: 0.7174, prior_entropy: 0.8704, recall: 0.7174, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7259, kappa: 0.3332, kb_relative_information_score: 166.235, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.725, predictive_accuracy: 0.7269, prior_entropy: 0.8704, recall: 0.7269, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9085, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7605, kappa: 0.43, kb_relative_information_score: 218.8137, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.766, predictive_accuracy: 0.7568, prior_entropy: 0.8704, recall: 0.7568, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6834, kappa: 0.2143, kb_relative_information_score: 78.6695, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.6775, predictive_accuracy: 0.6929, prior_entropy: 0.8704, recall: 0.6929, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0143, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7408, kappa: 0.366, kb_relative_information_score: 200.0432, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7388, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7111, kappa: 0.2714, kb_relative_information_score: 86.8742, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.709, predictive_accuracy: 0.731, prior_entropy: 0.8704, recall: 0.731, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9476, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7547, kappa: 0.4102, kb_relative_information_score: 239.2684, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.757, predictive_accuracy: 0.7527, prior_entropy: 0.8704, recall: 0.7527, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7261, kappa: 0.3087, kb_relative_information_score: 158.0865, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7267, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7493, kappa: 0.4175, kb_relative_information_score: 171.6256, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7646, predictive_accuracy: 0.7418, prior_entropy: 0.8704, recall: 0.7418, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 192.0753, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7436, predictive_accuracy: 0.7215, prior_entropy: 0.8704, recall: 0.7215, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4582, root_relative_squared_error: 1.009, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7509, kappa: 0.4108, kb_relative_information_score: 229.4478, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7588, predictive_accuracy: 0.7459, prior_entropy: 0.8704, recall: 0.7459, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0226, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7242, kappa: 0.3763, kb_relative_information_score: 114.8909, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7527, predictive_accuracy: 0.7133, prior_entropy: 0.8704, recall: 0.7133, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.9201, scimark_benchmark: 1447.2612, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7248, kappa: 0.3309, kb_relative_information_score: 172.3243, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.724, predictive_accuracy: 0.7255, prior_entropy: 0.8704, recall: 0.7255, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.7263, kappa: 0.3351, kb_relative_information_score: 113.2978, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7258, predictive_accuracy: 0.7269, prior_entropy: 0.8704, recall: 0.7269, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9623, scimark_benchmark: 995.7046, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.74, kappa: 0.3624, kb_relative_information_score: 190.1913, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7375, predictive_accuracy: 0.7432, prior_entropy: 0.8704, recall: 0.7432, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8913, scimark_benchmark: 1071.2969, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7057, kappa: 0.3782, kb_relative_information_score: 195.3873, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7737, predictive_accuracy: 0.6916, prior_entropy: 0.8704, recall: 0.6916, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9778, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7543, kappa: 0.4086, kb_relative_information_score: 256.5712, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7563, predictive_accuracy: 0.7527, prior_entropy: 0.8704, recall: 0.7527, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4728, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.7276, kappa: 0.3298, kb_relative_information_score: 220.2485, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7244, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.1393, scimark_benchmark: 1333.7575, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7643, kappa: 0.4215, kb_relative_information_score: 217.97, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4127, number_of_instances: 736, precision: 0.7621, predictive_accuracy: 0.7677, prior_entropy: 0.8704, recall: 0.7677, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8305, scimark_benchmark: 935.5664, usercpu_time_millis: 12930, usercpu_time_millis_testing: 3270, usercpu_time_millis_training: 9660,

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