Task
Supervised Classification on adult

Supervised Classification on adult

Task 2117 Supervised Classification adult 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8416, kappa: 0.5542, kb_relative_information_score: 6297.0597, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8414, predictive_accuracy: 0.8485, prior_entropy: 0.7939, recall: 0.8485, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7823, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8346, kappa: 0.5364, kb_relative_information_score: 3505.4552, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8332, predictive_accuracy: 0.8406, prior_entropy: 0.7939, recall: 0.8406, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7969, scimark_benchmark: 972.587, usercpu_time_millis: 10590, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8349, kappa: 0.5315, kb_relative_information_score: 5993.8201, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8366, predictive_accuracy: 0.8444, prior_entropy: 0.7939, recall: 0.8444, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7708, scimark_benchmark: 851.2074, usercpu_time_millis: 266160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 266100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 941.6675, usercpu_time_millis: 560, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8422, kappa: 0.5575, kb_relative_information_score: 6819.3717, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8412, predictive_accuracy: 0.8479, prior_entropy: 0.7939, recall: 0.8479, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7627, scimark_benchmark: 941.6675, usercpu_time_millis: 6500, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8266, kappa: 0.5145, kb_relative_information_score: 6697.9486, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.7939, recall: 0.8327, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7978, scimark_benchmark: 931.771, usercpu_time_millis: 26600, usercpu_time_millis_testing: 6390, usercpu_time_millis_training: 20210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.7013, kappa: 0.1258, kb_relative_information_score: 3782.4485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.6997, predictive_accuracy: 0.7505, prior_entropy: 0.7939, recall: 0.7505, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1651, scimark_benchmark: 941.3847, usercpu_time_millis: 2176800, usercpu_time_millis_testing: 518740, usercpu_time_millis_training: 1658060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8463, kappa: 0.572, kb_relative_information_score: 7862.8262, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8448, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.782, scimark_benchmark: 936.3373, usercpu_time_millis: 26800, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 26550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8266, kappa: 0.5145, kb_relative_information_score: 6697.9486, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.7939, recall: 0.8327, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7978, scimark_benchmark: 943.1009, usercpu_time_millis: 28690, usercpu_time_millis_testing: 7270, usercpu_time_millis_training: 21420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8416, kappa: 0.5542, kb_relative_information_score: 6297.0597, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8414, predictive_accuracy: 0.8485, prior_entropy: 0.7939, recall: 0.8485, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7823, scimark_benchmark: 819.5729, usercpu_time_millis: 1090, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8346, kappa: 0.5364, kb_relative_information_score: 3505.4552, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8332, predictive_accuracy: 0.8406, prior_entropy: 0.7939, recall: 0.8406, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7969, scimark_benchmark: 935.2002, usercpu_time_millis: 5030, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8349, kappa: 0.5315, kb_relative_information_score: 5993.8201, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8366, predictive_accuracy: 0.8444, prior_entropy: 0.7939, recall: 0.8444, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7708, scimark_benchmark: 944.0133, usercpu_time_millis: 143300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 143250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.7013, kappa: 0.1258, kb_relative_information_score: 3782.4485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.6997, predictive_accuracy: 0.7505, prior_entropy: 0.7939, recall: 0.7505, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1651, scimark_benchmark: 934.5964, usercpu_time_millis: 2480900, usercpu_time_millis_testing: 587740, usercpu_time_millis_training: 1893160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.834, kappa: 0.5705, kb_relative_information_score: 6841.272, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8479, predictive_accuracy: 0.8276, prior_entropy: 0.7939, recall: 0.8276, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8294, scimark_benchmark: 938.1282, usercpu_time_millis: 360, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 938.1282, usercpu_time_millis: 410, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 903.2737, usercpu_time_millis: 650, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 930.404, usercpu_time_millis: 520, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8422, kappa: 0.5575, kb_relative_information_score: 6819.3717, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8412, predictive_accuracy: 0.8479, prior_entropy: 0.7939, recall: 0.8479, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7627, scimark_benchmark: 941.4991, usercpu_time_millis: 6990, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 932.438, usercpu_time_millis: 460, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8463, kappa: 0.572, kb_relative_information_score: 7862.8262, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8448, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.782, scimark_benchmark: 936.3213, usercpu_time_millis: 26640, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 26370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8266, kappa: 0.5145, kb_relative_information_score: 6697.9486, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.7939, recall: 0.8327, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7978, scimark_benchmark: 945.6228, usercpu_time_millis: 28480, usercpu_time_millis_testing: 6460, usercpu_time_millis_training: 22020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8531, kappa: 0.588, kb_relative_information_score: 7072.6855, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8526, predictive_accuracy: 0.8585, prior_entropy: 0.7939, recall: 0.8585, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7349, scimark_benchmark: 927.2882, usercpu_time_millis: 9417730, usercpu_time_millis_testing: 652670, usercpu_time_millis_training: 8765060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8512, kappa: 0.5823, kb_relative_information_score: 7058.6064, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8508, predictive_accuracy: 0.8569, prior_entropy: 0.7939, recall: 0.8569, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.7353, scimark_benchmark: 901.4991, usercpu_time_millis: 4460990, usercpu_time_millis_testing: 317190, usercpu_time_millis_training: 4143800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8509, kappa: 0.5818, kb_relative_information_score: 7070.7185, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8504, predictive_accuracy: 0.8565, prior_entropy: 0.7939, recall: 0.8565, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.7361, scimark_benchmark: 891.6381, usercpu_time_millis: 2616430, usercpu_time_millis_testing: 180560, usercpu_time_millis_training: 2435870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8522, kappa: 0.5858, kb_relative_information_score: 7065.3235, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8517, predictive_accuracy: 0.8576, prior_entropy: 0.7939, recall: 0.8576, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.7383, scimark_benchmark: 935.0213, usercpu_time_millis: 1221930, usercpu_time_millis_testing: 56720, usercpu_time_millis_training: 1165210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8504, kappa: 0.5802, kb_relative_information_score: 7021.2335, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8499, predictive_accuracy: 0.8561, prior_entropy: 0.7939, recall: 0.8561, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.7427, scimark_benchmark: 894.7131, usercpu_time_millis: 622040, usercpu_time_millis_testing: 23630, usercpu_time_millis_training: 598410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.832, kappa: 0.5222, kb_relative_information_score: 6518.463, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8343, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7704, scimark_benchmark: 926.5859, usercpu_time_millis: 2620, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.832, kappa: 0.5222, kb_relative_information_score: 6518.463, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8343, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7704, scimark_benchmark: 929.0296, usercpu_time_millis: 2530, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.832, kappa: 0.5222, kb_relative_information_score: 6518.463, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8343, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7704, scimark_benchmark: 894.7131, usercpu_time_millis: 2760, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.832, kappa: 0.5222, kb_relative_information_score: 6518.463, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8343, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7704, scimark_benchmark: 929.0296, usercpu_time_millis: 2380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.832, kappa: 0.5222, kb_relative_information_score: 6518.463, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8343, predictive_accuracy: 0.8424, prior_entropy: 0.7939, recall: 0.8424, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7704, scimark_benchmark: 894.7131, usercpu_time_millis: 2400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8353, kappa: 0.5399, kb_relative_information_score: 6274.1596, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8337, predictive_accuracy: 0.8405, prior_entropy: 0.7939, recall: 0.8405, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7777, scimark_benchmark: 929.0296, usercpu_time_millis: 1030, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.817, kappa: 0.4734, kb_relative_information_score: 7677.4118, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8251, predictive_accuracy: 0.8332, prior_entropy: 0.7939, recall: 0.8332, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8952, scimark_benchmark: 936.1714, usercpu_time_millis: 15480, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 15300,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1349.1517, usercpu_time_millis: 330, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1349.1517, usercpu_time_millis: 340, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8266, kappa: 0.5145, kb_relative_information_score: 6697.9486, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.7939, recall: 0.8327, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7978, scimark_benchmark: 1331.7953, usercpu_time_millis: 28510, usercpu_time_millis_testing: 7490, usercpu_time_millis_training: 21020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.834, kappa: 0.5705, kb_relative_information_score: 6841.272, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8479, predictive_accuracy: 0.8276, prior_entropy: 0.7939, recall: 0.8276, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8294, scimark_benchmark: 1338.5214, usercpu_time_millis: 320, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 930.5999, usercpu_time_millis: 430, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8422, kappa: 0.5575, kb_relative_information_score: 6819.3717, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8412, predictive_accuracy: 0.8479, prior_entropy: 0.7939, recall: 0.8479, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7627, scimark_benchmark: 1337.8124, usercpu_time_millis: 4640, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 4380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.834, kappa: 0.5705, kb_relative_information_score: 6841.272, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8479, predictive_accuracy: 0.8276, prior_entropy: 0.7939, recall: 0.8276, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8294, scimark_benchmark: 1350.2591, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1350.2591, usercpu_time_millis: 300, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1374.9737, usercpu_time_millis: 310, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8346, kappa: 0.5364, kb_relative_information_score: 3505.4552, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8332, predictive_accuracy: 0.8406, prior_entropy: 0.7939, recall: 0.8406, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7969, scimark_benchmark: 1303.9481, usercpu_time_millis: 3120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.7013, kappa: 0.1258, kb_relative_information_score: 3782.4485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.6997, predictive_accuracy: 0.7505, prior_entropy: 0.7939, recall: 0.7505, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1651, scimark_benchmark: 1353.5464, usercpu_time_millis: 3161330, usercpu_time_millis_testing: 817100, usercpu_time_millis_training: 2344230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1347.1763, usercpu_time_millis: 260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1337.9552, usercpu_time_millis: 310, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1306.9281, usercpu_time_millis: 280, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8463, kappa: 0.572, kb_relative_information_score: 7862.8262, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8448, predictive_accuracy: 0.8503, prior_entropy: 0.7939, recall: 0.8503, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.782, scimark_benchmark: 1322.3407, usercpu_time_millis: 29200, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 28680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8416, kappa: 0.5542, kb_relative_information_score: 6297.0597, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8414, predictive_accuracy: 0.8485, prior_entropy: 0.7939, recall: 0.8485, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7823, scimark_benchmark: 1385.8862, usercpu_time_millis: 620, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8346, kappa: 0.5364, kb_relative_information_score: 3505.4552, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8332, predictive_accuracy: 0.8406, prior_entropy: 0.7939, recall: 0.8406, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.7969, scimark_benchmark: 1345.6844, usercpu_time_millis: 8830, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 8760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.834, kappa: 0.5705, kb_relative_information_score: 6841.272, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8479, predictive_accuracy: 0.8276, prior_entropy: 0.7939, recall: 0.8276, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8294, scimark_benchmark: 1306.9281, usercpu_time_millis: 340, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1332.7986, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8266, kappa: 0.5145, kb_relative_information_score: 6697.9486, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8247, predictive_accuracy: 0.8327, prior_entropy: 0.7939, recall: 0.8327, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7978, scimark_benchmark: 1310.6554, usercpu_time_millis: 23950, usercpu_time_millis_testing: 5510, usercpu_time_millis_training: 18440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8416, kappa: 0.5542, kb_relative_information_score: 6297.0597, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8414, predictive_accuracy: 0.8485, prior_entropy: 0.7939, recall: 0.8485, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7823, scimark_benchmark: 1292.514, usercpu_time_millis: 610, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8349, kappa: 0.5315, kb_relative_information_score: 5993.8201, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8366, predictive_accuracy: 0.8444, prior_entropy: 0.7939, recall: 0.8444, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7708, scimark_benchmark: 1336.0954, usercpu_time_millis: 236110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 236050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8477, kappa: 0.5717, kb_relative_information_score: 7127.1799, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8476, predictive_accuracy: 0.854, prior_entropy: 0.7939, recall: 0.854, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.7353, scimark_benchmark: 1306.5596, usercpu_time_millis: 388520, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 388340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.7013, kappa: 0.1258, kb_relative_information_score: 3782.4485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.6997, predictive_accuracy: 0.7505, prior_entropy: 0.7939, recall: 0.7505, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1651, scimark_benchmark: 1345.7919, usercpu_time_millis: 3522170, usercpu_time_millis_testing: 876670, usercpu_time_millis_training: 2645500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.7013, kappa: 0.1258, kb_relative_information_score: 3782.4485, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.6997, predictive_accuracy: 0.7505, prior_entropy: 0.7939, recall: 0.7505, relative_absolute_error: 0.682, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.1651, scimark_benchmark: 1331.0047, usercpu_time_millis: 3352440, usercpu_time_millis_testing: 837160, usercpu_time_millis_training: 2515280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1314.1215, usercpu_time_millis: 210, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8436, kappa: 0.587, kb_relative_information_score: 7026.9565, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3658, number_of_instances: 16117, precision: 0.8506, predictive_accuracy: 0.8396, prior_entropy: 0.7939, recall: 0.8396, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.4287, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7884, scimark_benchmark: 1325.6322, usercpu_time_millis: 380, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 180,

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