Task
Supervised Classification on ipums_la_98-small

Supervised Classification on ipums_la_98-small

Task 4570 Supervised Classification ipums_la_98-small 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.85, kappa: 0.0422, kb_relative_information_score: -28277.2097, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8606, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9358, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8463, kappa: 0.0167, kb_relative_information_score: -47881.4793, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8371, predictive_accuracy: 0.8931, prior_entropy: 0.4871, recall: 0.8931, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9503, scimark_benchmark: 972.587, usercpu_time_millis: 1360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8461, kappa: 0.0138, kb_relative_information_score: -20824.1989, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8433, predictive_accuracy: 0.8939, prior_entropy: 0.4871, recall: 0.8939, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.917, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 931.771, usercpu_time_millis: 202760, usercpu_time_millis_testing: 45200, usercpu_time_millis_training: 157560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 938.191, usercpu_time_millis: 400, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8562, kappa: 0.0972, kb_relative_information_score: -16686.2593, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8527, predictive_accuracy: 0.8927, prior_entropy: 0.4871, recall: 0.8927, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9295, scimark_benchmark: 938.191, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.8564, kappa: 0.1117, kb_relative_information_score: 10676.1449, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8462, predictive_accuracy: 0.888, prior_entropy: 0.4871, recall: 0.888, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.0382, scimark_benchmark: 931.771, usercpu_time_millis: 38130, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 37740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 936.3373, usercpu_time_millis: 210100, usercpu_time_millis_testing: 45620, usercpu_time_millis_training: 164480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 947.1781, usercpu_time_millis: 278630, usercpu_time_millis_testing: 44290, usercpu_time_millis_training: 234340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8519, kappa: 0.0563, kb_relative_information_score: -15560.8968, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8637, predictive_accuracy: 0.8954, prior_entropy: 0.4871, recall: 0.8954, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.922, scimark_benchmark: 947.1781, usercpu_time_millis: 3250, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.85, kappa: 0.0422, kb_relative_information_score: -28277.2097, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8606, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9358, scimark_benchmark: 942.2392, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8463, kappa: 0.0167, kb_relative_information_score: -47881.4793, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8371, predictive_accuracy: 0.8931, prior_entropy: 0.4871, recall: 0.8931, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9503, scimark_benchmark: 901.6243, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8461, kappa: 0.0138, kb_relative_information_score: -20824.1989, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8433, predictive_accuracy: 0.8939, prior_entropy: 0.4871, recall: 0.8939, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.917, scimark_benchmark: 936.2574, usercpu_time_millis: 12320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 927.2882, usercpu_time_millis: 182540, usercpu_time_millis_testing: 39990, usercpu_time_millis_training: 142550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 940.1221, usercpu_time_millis: 217040, usercpu_time_millis_testing: 43540, usercpu_time_millis_training: 173500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7355, kappa: 0.2291, kb_relative_information_score: -98320.9512, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8968, predictive_accuracy: 0.6724, prior_entropy: 0.4871, recall: 0.6724, relative_absolute_error: 1.7275, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.8237, scimark_benchmark: 930.404, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 903.2737, usercpu_time_millis: 450, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 938.1282, usercpu_time_millis: 400, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8562, kappa: 0.0972, kb_relative_information_score: -16686.2593, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8527, predictive_accuracy: 0.8927, prior_entropy: 0.4871, recall: 0.8927, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9295, scimark_benchmark: 933.3455, usercpu_time_millis: 1740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 932.438, usercpu_time_millis: 380, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.8564, kappa: 0.1117, kb_relative_information_score: 10676.1449, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8462, predictive_accuracy: 0.888, prior_entropy: 0.4871, recall: 0.888, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3192, root_relative_squared_error: 1.0382, scimark_benchmark: 936.2574, usercpu_time_millis: 39960, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 39550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8519, kappa: 0.0563, kb_relative_information_score: -15560.8968, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8637, predictive_accuracy: 0.8954, prior_entropy: 0.4871, recall: 0.8954, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.922, scimark_benchmark: 945.6228, usercpu_time_millis: 3060, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8595, kappa: 0.1175, kb_relative_information_score: -15801.0329, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8617, predictive_accuracy: 0.8952, prior_entropy: 0.4871, recall: 0.8952, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9137, scimark_benchmark: 917.5013, usercpu_time_millis: 858310, usercpu_time_millis_testing: 190170, usercpu_time_millis_training: 668140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.86, kappa: 0.1226, kb_relative_information_score: -15737.6556, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8612, predictive_accuracy: 0.895, prior_entropy: 0.4871, recall: 0.895, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.9158, scimark_benchmark: 944.0133, usercpu_time_millis: 449750, usercpu_time_millis_testing: 112460, usercpu_time_millis_training: 337290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.8599, kappa: 0.1245, kb_relative_information_score: -15709.6952, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8581, predictive_accuracy: 0.8938, prior_entropy: 0.4871, recall: 0.8938, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9187, scimark_benchmark: 940.1541, usercpu_time_millis: 217470, usercpu_time_millis_testing: 47100, usercpu_time_millis_training: 170370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8599, kappa: 0.1316, kb_relative_information_score: -15548.1906, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8538, predictive_accuracy: 0.8913, prior_entropy: 0.4871, recall: 0.8913, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9267, scimark_benchmark: 941.589, usercpu_time_millis: 111130, usercpu_time_millis_testing: 25100, usercpu_time_millis_training: 86030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8605, kappa: 0.1475, kb_relative_information_score: -16036.5344, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.851, predictive_accuracy: 0.8877, prior_entropy: 0.4871, recall: 0.8877, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9426, scimark_benchmark: 942.5233, usercpu_time_millis: 56270, usercpu_time_millis_testing: 11780, usercpu_time_millis_training: 44490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8444, kb_relative_information_score: -27755.239, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.924, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8444, kb_relative_information_score: -27755.239, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.924, scimark_benchmark: 930.0565, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8444, kb_relative_information_score: -27755.239, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.924, scimark_benchmark: 894.7131, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8444, kb_relative_information_score: -27755.239, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.924, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8444, kb_relative_information_score: -27755.239, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.924, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8461, kappa: 0.0141, kb_relative_information_score: -24071.2519, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8429, predictive_accuracy: 0.8938, prior_entropy: 0.4871, recall: 0.8938, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9288, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8444, kb_relative_information_score: 18482.5677, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.7998, predictive_accuracy: 0.8943, prior_entropy: 0.4871, recall: 0.8943, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3178, root_relative_squared_error: 1.0338, scimark_benchmark: 938.3115, usercpu_time_millis: 3340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3310,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.8456, kappa: 0.0081, kb_relative_information_score: 19800.7203, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.9059, predictive_accuracy: 0.8948, prior_entropy: 0.4871, recall: 0.8948, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.055, scimark_benchmark: 1338.5214, usercpu_time_millis: 277800, usercpu_time_millis_testing: 56720, usercpu_time_millis_training: 221080,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.85, kappa: 0.0422, kb_relative_information_score: -28277.2097, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8606, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9358, scimark_benchmark: 1310.3168, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 1316.5668, usercpu_time_millis: 310, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7355, kappa: 0.2291, kb_relative_information_score: -98320.9512, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8968, predictive_accuracy: 0.6724, prior_entropy: 0.4871, recall: 0.6724, relative_absolute_error: 1.7275, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.8237, scimark_benchmark: 1338.5214, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8519, kappa: 0.0563, kb_relative_information_score: -15560.8968, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8637, predictive_accuracy: 0.8954, prior_entropy: 0.4871, recall: 0.8954, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.922, scimark_benchmark: 1346.1568, usercpu_time_millis: 2220, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 1750,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8463, kappa: 0.0167, kb_relative_information_score: -47881.4793, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8371, predictive_accuracy: 0.8931, prior_entropy: 0.4871, recall: 0.8931, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9503, scimark_benchmark: 1340.5125, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8461, kappa: 0.0138, kb_relative_information_score: -20824.1989, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8433, predictive_accuracy: 0.8939, prior_entropy: 0.4871, recall: 0.8939, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.917, scimark_benchmark: 1364.991, usercpu_time_millis: 9110, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 1347.6184, usercpu_time_millis: 270, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8562, kappa: 0.0972, kb_relative_information_score: -16686.2593, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8527, predictive_accuracy: 0.8927, prior_entropy: 0.4871, recall: 0.8927, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9295, scimark_benchmark: 1330.6748, usercpu_time_millis: 1380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.85, kappa: 0.0422, kb_relative_information_score: -28277.2097, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8606, predictive_accuracy: 0.8949, prior_entropy: 0.4871, recall: 0.8949, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.9358, scimark_benchmark: 1299.7465, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8463, kappa: 0.0167, kb_relative_information_score: -47881.4793, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8371, predictive_accuracy: 0.8931, prior_entropy: 0.4871, recall: 0.8931, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.9503, scimark_benchmark: 1324.3161, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7746, kappa: 0.2288, kb_relative_information_score: -81948.9346, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8784, predictive_accuracy: 0.7239, prior_entropy: 0.4871, recall: 0.7239, relative_absolute_error: 1.4342, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.45, root_relative_squared_error: 1.4639, scimark_benchmark: 1360.6367, usercpu_time_millis: 310, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8519, kappa: 0.0563, kb_relative_information_score: -15560.8968, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1891, number_of_instances: 74850, precision: 0.8637, predictive_accuracy: 0.8954, prior_entropy: 0.4871, recall: 0.8954, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.3074, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.922, scimark_benchmark: 1274.7011, usercpu_time_millis: 2380, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 1840,

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

How to submit runs

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

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