Task
Supervised Classification on arsenic-female-bladder

Supervised Classification on arsenic-female-bladder

Task 4517 Supervised Classification arsenic-female-bladder 234 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.7948, kappa: 0.0197, kb_relative_information_score: -67.0677, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8377, predictive_accuracy: 0.858, prior_entropy: 0.5956, recall: 0.858, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9996, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8295, kappa: 0.2034, kb_relative_information_score: -1781.2677, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8406, predictive_accuracy: 0.8664, prior_entropy: 0.5956, recall: 0.8664, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9337, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8149, kappa: 0.1576, kb_relative_information_score: -247.4735, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.803, predictive_accuracy: 0.8433, prior_entropy: 0.5956, recall: 0.8433, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.34, root_relative_squared_error: 0.9709, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.7929, kappa: 0.0112, kb_relative_information_score: 1491.8604, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.7939, predictive_accuracy: 0.8564, prior_entropy: 0.5956, recall: 0.8564, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0823, scimark_benchmark: 916.0735, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.8346, kappa: 0.2388, kb_relative_information_score: -30.3152, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8353, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9435, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8361, kappa: 0.2661, kb_relative_information_score: 316.2479, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8293, predictive_accuracy: 0.8562, prior_entropy: 0.5956, recall: 0.8562, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.9278, scimark_benchmark: 941.6675, usercpu_time_millis: 7380, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8328, kappa: 0.2264, kb_relative_information_score: 721.5988, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8355, predictive_accuracy: 0.8644, prior_entropy: 0.5956, recall: 0.8644, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9875, scimark_benchmark: 944.1067, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.7929, kappa: 0.0112, kb_relative_information_score: 1491.8604, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.7939, predictive_accuracy: 0.8564, prior_entropy: 0.5956, recall: 0.8564, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0823, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.7929, kappa: 0.0112, kb_relative_information_score: 1491.8604, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.7939, predictive_accuracy: 0.8564, prior_entropy: 0.5956, recall: 0.8564, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0823, scimark_benchmark: 944.1783, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.8358, kappa: 0.324, kb_relative_information_score: 347.9377, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8343, predictive_accuracy: 0.8374, prior_entropy: 0.5956, recall: 0.8374, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9902, scimark_benchmark: 937.5117, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.7948, kappa: 0.0197, kb_relative_information_score: -67.0677, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8377, predictive_accuracy: 0.858, prior_entropy: 0.5956, recall: 0.858, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9996, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8295, kappa: 0.2034, kb_relative_information_score: -1781.2677, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8406, predictive_accuracy: 0.8664, prior_entropy: 0.5956, recall: 0.8664, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9337, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8149, kappa: 0.1576, kb_relative_information_score: -247.4735, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.803, predictive_accuracy: 0.8433, prior_entropy: 0.5956, recall: 0.8433, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.34, root_relative_squared_error: 0.9709, scimark_benchmark: 940.1541, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.7929, kappa: 0.0112, kb_relative_information_score: 1491.8604, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.7939, predictive_accuracy: 0.8564, prior_entropy: 0.5956, recall: 0.8564, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0823, scimark_benchmark: 927.2882, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.829, kappa: 0.2099, kb_relative_information_score: 390.3523, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8288, predictive_accuracy: 0.861, prior_entropy: 0.5956, recall: 0.861, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9306, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.8346, kappa: 0.2388, kb_relative_information_score: -30.3152, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8353, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9435, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8361, kappa: 0.2661, kb_relative_information_score: 316.2479, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8293, predictive_accuracy: 0.8562, prior_entropy: 0.5956, recall: 0.8562, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.9278, scimark_benchmark: 938.4601, usercpu_time_millis: 4210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.8328, kappa: 0.2264, kb_relative_information_score: 721.5988, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8355, predictive_accuracy: 0.8644, prior_entropy: 0.5956, recall: 0.8644, relative_absolute_error: 0.7287, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9875, scimark_benchmark: 936.9595, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.8358, kappa: 0.324, kb_relative_information_score: 347.9377, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8343, predictive_accuracy: 0.8374, prior_entropy: 0.5956, recall: 0.8374, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9902, scimark_benchmark: 941.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8304, kappa: 0.2167, kb_relative_information_score: 579.6256, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8307, predictive_accuracy: 0.8619, prior_entropy: 0.5956, recall: 0.8619, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.9083, scimark_benchmark: 917.5013, usercpu_time_millis: 10500, usercpu_time_millis_testing: 2700, usercpu_time_millis_training: 7800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.83, kappa: 0.2147, kb_relative_information_score: 567.7182, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.83, predictive_accuracy: 0.8615, prior_entropy: 0.5956, recall: 0.8615, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9094, scimark_benchmark: 932.438, usercpu_time_millis: 6360, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 4500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8312, kappa: 0.221, kb_relative_information_score: 561.6038, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8315, predictive_accuracy: 0.8623, prior_entropy: 0.5956, recall: 0.8623, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.9117, scimark_benchmark: 941.4991, usercpu_time_millis: 2450, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8304, kappa: 0.2176, kb_relative_information_score: 542.7513, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8299, predictive_accuracy: 0.8614, prior_entropy: 0.5956, recall: 0.8614, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.9146, scimark_benchmark: 938.3401, usercpu_time_millis: 1240, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8354, kappa: 0.243, kb_relative_information_score: 561.7212, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8361, predictive_accuracy: 0.8644, prior_entropy: 0.5956, recall: 0.8644, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.9157, scimark_benchmark: 920.3788, usercpu_time_millis: 630, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8319, kappa: 0.2094, kb_relative_information_score: -115.5417, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8614, predictive_accuracy: 0.8719, prior_entropy: 0.5956, recall: 0.8719, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9097, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8319, kappa: 0.2094, kb_relative_information_score: -115.5417, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8614, predictive_accuracy: 0.8719, prior_entropy: 0.5956, recall: 0.8719, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9097, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.8319, kappa: 0.2094, kb_relative_information_score: -115.5417, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8614, predictive_accuracy: 0.8719, prior_entropy: 0.5956, recall: 0.8719, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9097, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.8319, kappa: 0.2094, kb_relative_information_score: -121.2394, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8614, predictive_accuracy: 0.8719, prior_entropy: 0.5956, recall: 0.8719, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.9099, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7908, kb_relative_information_score: -10.0709, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.7343, predictive_accuracy: 0.8569, prior_entropy: 0.5956, recall: 0.8569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3502, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.829, kappa: 0.2099, kb_relative_information_score: 390.3523, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8288, predictive_accuracy: 0.861, prior_entropy: 0.5956, recall: 0.861, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9306, scimark_benchmark: 930.5999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.8346, kappa: 0.2388, kb_relative_information_score: -30.3152, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8353, predictive_accuracy: 0.864, prior_entropy: 0.5956, recall: 0.864, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9435, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8295, kappa: 0.2034, kb_relative_information_score: -1781.2677, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8406, predictive_accuracy: 0.8664, prior_entropy: 0.5956, recall: 0.8664, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.327, root_relative_squared_error: 0.9337, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1316.5668,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.8361, kappa: 0.2661, kb_relative_information_score: 316.2479, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8293, predictive_accuracy: 0.8562, prior_entropy: 0.5956, recall: 0.8562, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.9278, scimark_benchmark: 1313.9976, usercpu_time_millis: 2280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.8321, kappa: 0.2471, kb_relative_information_score: 434.7226, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2462, number_of_instances: 5590, precision: 0.8244, predictive_accuracy: 0.8531, prior_entropy: 0.5956, recall: 0.8531, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9295, scimark_benchmark: 1350.7721,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs