Task
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 4386 Supervised Classification puma8NH 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8045, kappa: 0.6094, kb_relative_information_score: 38027.4642, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 1, recall: 0.8047, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7969, kappa: 0.5939, kb_relative_information_score: 28247.5787, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7973, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7752, scimark_benchmark: 972.587, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7999, kappa: 0.5998, kb_relative_information_score: 39244.2026, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8, predictive_accuracy: 0.7999, prior_entropy: 1, recall: 0.7999, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 934.3687, usercpu_time_millis: 960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 904.0772, usercpu_time_millis: 10210, usercpu_time_millis_testing: 3570, usercpu_time_millis_training: 6640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 938.191, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8274, kappa: 0.6547, kb_relative_information_score: 45405.5934, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 941.6675, usercpu_time_millis: 840, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8266, kappa: 0.6532, kb_relative_information_score: 35084.0305, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8269, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7598, scimark_benchmark: 904.6764, usercpu_time_millis: 1422620, usercpu_time_millis_testing: 8300, usercpu_time_millis_training: 1414320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8082, kappa: 0.6166, kb_relative_information_score: 32469.9346, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8092, predictive_accuracy: 0.8083, prior_entropy: 1, recall: 0.8083, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7831, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 941.3847, usercpu_time_millis: 16250, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 12080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 936.3373, usercpu_time_millis: 16820, usercpu_time_millis_testing: 4570, usercpu_time_millis_training: 12250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 941.3847, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 44588.759, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982, scimark_benchmark: 943.1009, usercpu_time_millis: 5490, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 5000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8045, kappa: 0.6094, kb_relative_information_score: 38027.4642, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 1, recall: 0.8047, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 942.2392, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7969, kappa: 0.5939, kb_relative_information_score: 28247.5787, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7973, predictive_accuracy: 0.7969, prior_entropy: 1, recall: 0.7969, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7752, scimark_benchmark: 908.9569, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7999, kappa: 0.5998, kb_relative_information_score: 39244.2026, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8, predictive_accuracy: 0.7999, prior_entropy: 1, recall: 0.7999, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 940.1541, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 927.2882, usercpu_time_millis: 14270, usercpu_time_millis_testing: 4040, usercpu_time_millis_training: 10230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8266, kappa: 0.6532, kb_relative_information_score: 35084.0305, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8269, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7598, scimark_benchmark: 936.2574, usercpu_time_millis: 1415480, usercpu_time_millis_testing: 8210, usercpu_time_millis_training: 1407270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 943.6618, usercpu_time_millis: 13800, usercpu_time_millis_testing: 4010, usercpu_time_millis_training: 9790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8274, kappa: 0.6547, kb_relative_information_score: 45405.5934, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 903.2737, usercpu_time_millis: 810, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 936.9595, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8082, kappa: 0.6166, kb_relative_information_score: 32469.9346, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8092, predictive_accuracy: 0.8083, prior_entropy: 1, recall: 0.8083, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7831, scimark_benchmark: 936.9595, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 44588.759, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982, scimark_benchmark: 901.4991, usercpu_time_millis: 5690, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 40579.0251, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8328, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7003, scimark_benchmark: 936.2574, usercpu_time_millis: 57390, usercpu_time_millis_testing: 8940, usercpu_time_millis_training: 48450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8319, kappa: 0.6639, kb_relative_information_score: 40563.9504, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8321, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7014, scimark_benchmark: 859.5223, usercpu_time_millis: 26960, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 23640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8308, kappa: 0.6617, kb_relative_information_score: 40534.1658, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.831, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7025, scimark_benchmark: 933.9243, usercpu_time_millis: 12840, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 11250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 40579.3988, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8297, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7049, scimark_benchmark: 945.0448, usercpu_time_millis: 6440, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8273, kappa: 0.6547, kb_relative_information_score: 40326.5891, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8275, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.712, scimark_benchmark: 921.466, usercpu_time_millis: 3670, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 3240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7554, kappa: 0.5109, kb_relative_information_score: 28994.1397, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7555, predictive_accuracy: 0.7555, prior_entropy: 1, recall: 0.7555, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 889.4922, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7554, kappa: 0.5109, kb_relative_information_score: 28994.1397, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7555, predictive_accuracy: 0.7555, prior_entropy: 1, recall: 0.7555, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 938.3115, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7554, kappa: 0.5109, kb_relative_information_score: 28994.1397, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7555, predictive_accuracy: 0.7555, prior_entropy: 1, recall: 0.7555, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 894.7131, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7554, kappa: 0.5109, kb_relative_information_score: 28994.1397, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7555, predictive_accuracy: 0.7555, prior_entropy: 1, recall: 0.7555, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 929.0296, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7554, kappa: 0.5109, kb_relative_information_score: 28994.1397, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7555, predictive_accuracy: 0.7555, prior_entropy: 1, recall: 0.7555, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7882, kappa: 0.5771, kb_relative_information_score: 31788.1841, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7908, predictive_accuracy: 0.7886, prior_entropy: 1, recall: 0.7886, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8085, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7607, kappa: 0.5219, kb_relative_information_score: 40292.3616, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.7621, predictive_accuracy: 0.7609, prior_entropy: 1, recall: 0.7609, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8707, scimark_benchmark: 936.1714, usercpu_time_millis: 5180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1324.8408, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 1278.9821, usercpu_time_millis: 14740, usercpu_time_millis_testing: 4190, usercpu_time_millis_training: 10550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8001, kappa: 0.6006, kb_relative_information_score: 28712.7207, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8019, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8046, scimark_benchmark: 1335.6555, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1309.0674, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1322.3407, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8266, kappa: 0.6532, kb_relative_information_score: 35084.0305, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8269, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7598, scimark_benchmark: 1343.7262, usercpu_time_millis: 463590, usercpu_time_millis_testing: 8460, usercpu_time_millis_training: 455130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 1313.11, usercpu_time_millis: 9800, usercpu_time_millis_testing: 3980, usercpu_time_millis_training: 5820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8001, kappa: 0.6006, kb_relative_information_score: 28712.7207, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8019, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8046, scimark_benchmark: 1347.1763, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1316.5668, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8274, kappa: 0.6547, kb_relative_information_score: 45405.5934, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 1342.8584, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1393.8432, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8045, kappa: 0.6094, kb_relative_information_score: 38027.4642, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 1, recall: 0.8047, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 1306.9281, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8001, kappa: 0.6006, kb_relative_information_score: 28712.7207, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8019, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8046, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8274, kappa: 0.6547, kb_relative_information_score: 45405.5934, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 1317.5857, usercpu_time_millis: 780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8082, kappa: 0.6166, kb_relative_information_score: 32469.9346, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8092, predictive_accuracy: 0.8083, prior_entropy: 1, recall: 0.8083, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7831, scimark_benchmark: 1351.3088, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 44588.759, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982, scimark_benchmark: 1310.6554, usercpu_time_millis: 5060, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8045, kappa: 0.6094, kb_relative_information_score: 38027.4642, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 1, recall: 0.8047, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 1309.4708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8235, kappa: 0.6471, kb_relative_information_score: 43681.9793, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8238, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7339, scimark_benchmark: 1339.8573, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7999, kappa: 0.5998, kb_relative_information_score: 39244.2026, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8, predictive_accuracy: 0.7999, prior_entropy: 1, recall: 0.7999, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1319.5773, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 54579.2381, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8334, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817, scimark_benchmark: 1280.9535, usercpu_time_millis: 25700, usercpu_time_millis_testing: 6100, usercpu_time_millis_training: 19600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1375.1578, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8274, kappa: 0.6547, kb_relative_information_score: 45405.5934, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8276, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.351, root_relative_squared_error: 0.702, scimark_benchmark: 1336.4701, usercpu_time_millis: 620, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.8039, kappa: 0.6081, kb_relative_information_score: 31598.0911, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8053, predictive_accuracy: 0.8041, prior_entropy: 1, recall: 0.8041, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7811, scimark_benchmark: 1345.0202, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8292, kappa: 0.6585, kb_relative_information_score: 44588.759, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8296, predictive_accuracy: 0.8293, prior_entropy: 1, recall: 0.8293, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.6982, scimark_benchmark: 1329.8008, usercpu_time_millis: 4970, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8045, kappa: 0.6094, kb_relative_information_score: 38027.4642, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 1, recall: 0.8047, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7581, scimark_benchmark: 1325.6322, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).

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Timeline

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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

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

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