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Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 4350 Supervised Classification fri_c1_500_25 226 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 934.3687, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 944.1067, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 916.0735, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6638, kappa: 0.3238, kb_relative_information_score: 1170.5675, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6637, predictive_accuracy: 0.6644, prior_entropy: 0.9967, recall: 0.6644, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9434, scimark_benchmark: 916.0735, usercpu_time_millis: 5380, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.836, kappa: 0.6702, kb_relative_information_score: 2966.6222, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9967, recall: 0.8362, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7322, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 947.1781, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 908.9569, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 936.2574, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 927.2882, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 943.6618, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6638, kappa: 0.3238, kb_relative_information_score: 1170.5675, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6637, predictive_accuracy: 0.6644, prior_entropy: 0.9967, recall: 0.6644, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9434, scimark_benchmark: 934.5964, usercpu_time_millis: 4340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.836, kappa: 0.6702, kb_relative_information_score: 2966.6222, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 0.9967, recall: 0.8362, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7322, scimark_benchmark: 932.438, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 901.4991, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8218, kappa: 0.6427, kb_relative_information_score: 1779.3864, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8228, predictive_accuracy: 0.8216, prior_entropy: 0.9967, recall: 0.8216, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7639, scimark_benchmark: 943.6618, usercpu_time_millis: 7490, usercpu_time_millis_testing: 3160, usercpu_time_millis_training: 4330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8178, kappa: 0.6348, kb_relative_information_score: 1761.3765, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8192, predictive_accuracy: 0.8176, prior_entropy: 0.9967, recall: 0.8176, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7681, scimark_benchmark: 933.3455, usercpu_time_millis: 3410, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8116, kappa: 0.622, kb_relative_information_score: 1764.8862, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8123, predictive_accuracy: 0.8114, prior_entropy: 0.9967, recall: 0.8114, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7707, scimark_benchmark: 942.5233, usercpu_time_millis: 1420, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7991, kappa: 0.5969, kb_relative_information_score: 1755.3663, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7996, predictive_accuracy: 0.799, prior_entropy: 0.9967, recall: 0.799, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7789, scimark_benchmark: 933.9, usercpu_time_millis: 660, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.78, kappa: 0.5583, kb_relative_information_score: 1723.2867, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.7804, predictive_accuracy: 0.7798, prior_entropy: 0.9967, recall: 0.7798, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7952, scimark_benchmark: 935.3212, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8463, kappa: 0.6909, kb_relative_information_score: 3244.9133, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9967, recall: 0.8464, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6787, scimark_benchmark: 889.4922, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8457, kappa: 0.6897, kb_relative_information_score: 3237.5133, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8457, predictive_accuracy: 0.8458, prior_entropy: 0.9967, recall: 0.8458, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6801, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.845, kappa: 0.6884, kb_relative_information_score: 3217.2174, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.9967, recall: 0.8452, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6726, scimark_benchmark: 929.0296, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8603, kappa: 0.7192, kb_relative_information_score: 3183.2575, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8603, predictive_accuracy: 0.8604, prior_entropy: 0.9967, recall: 0.8604, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6394, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8471, kappa: 0.6926, kb_relative_information_score: 2865.4059, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8475, predictive_accuracy: 0.8474, prior_entropy: 0.9967, recall: 0.8474, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6718, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.3404, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.863, kappa: 0.7245, kb_relative_information_score: 3582.8136, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8633, predictive_accuracy: 0.8632, prior_entropy: 0.9967, recall: 0.8632, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6829, scimark_benchmark: 936.1714, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.861, kappa: 0.7206, kb_relative_information_score: 3535.7403, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8612, predictive_accuracy: 0.8612, prior_entropy: 0.9967, recall: 0.8612, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6838, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6824, kappa: 0.362, kb_relative_information_score: 1802.7461, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6825, predictive_accuracy: 0.6824, prior_entropy: 0.9967, recall: 0.6824, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1297, scimark_benchmark: 1393.8432, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8639, kappa: 0.7262, kb_relative_information_score: 2968.0657, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8646, predictive_accuracy: 0.8642, prior_entropy: 0.9967, recall: 0.8642, relative_absolute_error: 0.4385, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6361, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8419, kappa: 0.682, kb_relative_information_score: 2489.3603, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.8422, prior_entropy: 0.9967, recall: 0.8422, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6924, scimark_benchmark: 1339.6197, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6638, kappa: 0.3238, kb_relative_information_score: 1170.5675, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6637, predictive_accuracy: 0.6644, prior_entropy: 0.9967, recall: 0.6644, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9434, scimark_benchmark: 1351.3088, usercpu_time_millis: 3420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6638, kappa: 0.3238, kb_relative_information_score: 1170.5675, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.6637, predictive_accuracy: 0.6644, prior_entropy: 0.9967, recall: 0.6644, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9434, scimark_benchmark: 1374.9737, usercpu_time_millis: 2700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8763, kappa: 0.7514, kb_relative_information_score: 2305.7705, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 0.9967, recall: 0.8764, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6795, scimark_benchmark: 1338.1299, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8349, kappa: 0.668, kb_relative_information_score: 2842.0945, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8353, predictive_accuracy: 0.8352, prior_entropy: 0.9967, recall: 0.8352, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7274, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.844, kappa: 0.6863, kb_relative_information_score: 2954.4532, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9967, recall: 0.8442, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6781, scimark_benchmark: 1334.863, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8224, kappa: 0.6429, kb_relative_information_score: 2763.7574, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8262, predictive_accuracy: 0.8236, prior_entropy: 0.9967, recall: 0.8236, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6898, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8343, kappa: 0.6666, kb_relative_information_score: 2817.4991, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4977, number_of_instances: 5000, precision: 0.8364, predictive_accuracy: 0.835, prior_entropy: 0.9967, recall: 0.835, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.683, scimark_benchmark: 1321.8321,

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