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Supervised Classification on fri_c3_1000_10

Supervised Classification on fri_c3_1000_10

Task 4311 Supervised Classification fri_c3_1000_10 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8654, kappa: 0.7271, kb_relative_information_score: 6396.8784, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8655, predictive_accuracy: 0.8654, prior_entropy: 0.9896, recall: 0.8654, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8552, kappa: 0.7057, kb_relative_information_score: 5126.5561, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8552, predictive_accuracy: 0.8554, prior_entropy: 0.9896, recall: 0.8554, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6617, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8607, kappa: 0.7171, kb_relative_information_score: 6170.3787, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9896, recall: 0.8608, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6266, scimark_benchmark: 934.3687, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 904.6764, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 931.771, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8927, kappa: 0.7818, kb_relative_information_score: 6672.706, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8931, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5672, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7297, kappa: 0.4509, kb_relative_information_score: 2616.6342, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9896, recall: 0.73, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.863, scimark_benchmark: 944.1067, usercpu_time_millis: 12910, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 12690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8628, kappa: 0.7214, kb_relative_information_score: 6512.8077, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 0.9896, recall: 0.8629, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 927.2917, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 944.1783, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9126, kappa: 0.8224, kb_relative_information_score: 6787.3319, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9896, recall: 0.9128, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5352, scimark_benchmark: 937.5117, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8727, kappa: 0.7417, kb_relative_information_score: 6507.7938, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8727, predictive_accuracy: 0.8727, prior_entropy: 0.9896, recall: 0.8727, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6019, scimark_benchmark: 974.2014, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8654, kappa: 0.7271, kb_relative_information_score: 6396.8784, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8655, predictive_accuracy: 0.8654, prior_entropy: 0.9896, recall: 0.8654, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8552, kappa: 0.7057, kb_relative_information_score: 5126.5561, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8552, predictive_accuracy: 0.8554, prior_entropy: 0.9896, recall: 0.8554, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6617, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8607, kappa: 0.7171, kb_relative_information_score: 6170.3787, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9896, recall: 0.8608, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6266, scimark_benchmark: 938.1282, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 937.5683, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 859.5223, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8927, kappa: 0.7818, kb_relative_information_score: 6672.706, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8931, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5672, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8628, kappa: 0.7214, kb_relative_information_score: 6512.8077, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 0.9896, recall: 0.8629, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 945.6228, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9126, kappa: 0.8224, kb_relative_information_score: 6787.3319, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9896, recall: 0.9128, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5352, scimark_benchmark: 936.3213, usercpu_time_millis: 440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9146, kappa: 0.8264, kb_relative_information_score: 6064.4142, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9149, predictive_accuracy: 0.9148, prior_entropy: 0.9896, recall: 0.9148, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5601, scimark_benchmark: 943.6618, usercpu_time_millis: 7350, usercpu_time_millis_testing: 2830, usercpu_time_millis_training: 4520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9126, kappa: 0.8223, kb_relative_information_score: 6053.6254, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9896, recall: 0.9128, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5623, scimark_benchmark: 904.5548, usercpu_time_millis: 3080, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9112, kappa: 0.8195, kb_relative_information_score: 6111.6181, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9115, predictive_accuracy: 0.9114, prior_entropy: 0.9896, recall: 0.9114, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5607, scimark_benchmark: 897.0978, usercpu_time_millis: 1440, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.909, kappa: 0.8151, kb_relative_information_score: 6170.6809, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.9896, recall: 0.9092, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5618, scimark_benchmark: 890.4736, usercpu_time_millis: 710, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8984, kappa: 0.7935, kb_relative_information_score: 6054.3503, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8986, predictive_accuracy: 0.8986, prior_entropy: 0.9896, recall: 0.8986, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5815, scimark_benchmark: 931.6751, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8884, kappa: 0.7735, kb_relative_information_score: 6963.7278, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8884, predictive_accuracy: 0.8885, prior_entropy: 0.9896, recall: 0.8885, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5762, scimark_benchmark: 941.9549, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8884, kappa: 0.7735, kb_relative_information_score: 6963.7278, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8884, predictive_accuracy: 0.8885, prior_entropy: 0.9896, recall: 0.8885, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5762, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8885, kappa: 0.7736, kb_relative_information_score: 6943.2281, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8885, predictive_accuracy: 0.8886, prior_entropy: 0.9896, recall: 0.8886, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.577, scimark_benchmark: 929.0296, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8496, kappa: 0.6943, kb_relative_information_score: 5591.6996, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8499, prior_entropy: 0.9896, recall: 0.8499, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6616, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0526, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9896, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.884, kappa: 0.7642, kb_relative_information_score: 7452.2991, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8841, predictive_accuracy: 0.8842, prior_entropy: 0.9896, recall: 0.8842, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.624, scimark_benchmark: 936.1714, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8657, kappa: 0.7273, kb_relative_information_score: 7091.987, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8659, prior_entropy: 0.9896, recall: 0.8659, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 929.0296, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8431, kappa: 0.6809, kb_relative_information_score: 6527.8268, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8433, predictive_accuracy: 0.8435, prior_entropy: 0.9896, recall: 0.8435, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7074, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8927, kappa: 0.7818, kb_relative_information_score: 6672.706, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8931, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5672, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9126, kappa: 0.8224, kb_relative_information_score: 6787.3319, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9896, recall: 0.9128, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5352, scimark_benchmark: 1310.6554, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8233, kappa: 0.6414, kb_relative_information_score: 5781.5674, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8234, prior_entropy: 0.9896, recall: 0.8234, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6833, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7297, kappa: 0.4509, kb_relative_information_score: 2616.6202, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7295, predictive_accuracy: 0.73, prior_entropy: 0.9896, recall: 0.73, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.863, scimark_benchmark: 1332.1612, usercpu_time_millis: 8790, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 8660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8607, kappa: 0.7171, kb_relative_information_score: 6170.3787, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9896, recall: 0.8608, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6266, scimark_benchmark: 1358.6198, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8233, kappa: 0.6414, kb_relative_information_score: 5781.5674, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8234, prior_entropy: 0.9896, recall: 0.8234, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6833, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8628, kappa: 0.7214, kb_relative_information_score: 6512.8077, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 0.9896, recall: 0.8629, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 1335.5309, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9126, kappa: 0.8224, kb_relative_information_score: 6787.3319, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9129, predictive_accuracy: 0.9128, prior_entropy: 0.9896, recall: 0.9128, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5352, scimark_benchmark: 1313.5633, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7069, kappa: 0.4058, kb_relative_information_score: 2279.3756, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7072, predictive_accuracy: 0.7067, prior_entropy: 0.9896, recall: 0.7067, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8937, scimark_benchmark: 1336.4564, usercpu_time_millis: 4260, usercpu_time_millis_testing: 4250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8552, kappa: 0.7057, kb_relative_information_score: 5126.5561, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8552, predictive_accuracy: 0.8554, prior_entropy: 0.9896, recall: 0.8554, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6617, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8966, kappa: 0.7902, kb_relative_information_score: 7653.099, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8966, predictive_accuracy: 0.8967, prior_entropy: 0.9896, recall: 0.8967, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.605, scimark_benchmark: 1256.2802, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8607, kappa: 0.7171, kb_relative_information_score: 6170.3787, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9896, recall: 0.8608, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6266, scimark_benchmark: 1325.3966, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9011, kappa: 0.7992, kb_relative_information_score: 7630.2419, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.9011, predictive_accuracy: 0.9011, prior_entropy: 0.9896, recall: 0.9011, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.282, root_relative_squared_error: 0.568, scimark_benchmark: 1350.1007, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 1347.1763, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8233, kappa: 0.6414, kb_relative_information_score: 5781.5674, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8233, predictive_accuracy: 0.8234, prior_entropy: 0.9896, recall: 0.8234, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6833, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8439, kappa: 0.6823, kb_relative_information_score: 6043.5222, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8448, predictive_accuracy: 0.8446, prior_entropy: 0.9896, recall: 0.8446, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6523, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8927, kappa: 0.7818, kb_relative_information_score: 6672.706, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8931, predictive_accuracy: 0.893, prior_entropy: 0.9896, recall: 0.893, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5672, scimark_benchmark: 1336.4701, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8628, kappa: 0.7214, kb_relative_information_score: 6512.8077, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 0.9896, recall: 0.8629, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 1332.7986, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8178, kappa: 0.632, kb_relative_information_score: 6268.8106, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8199, predictive_accuracy: 0.8173, prior_entropy: 0.9896, recall: 0.8173, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 1348.2804, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8628, kappa: 0.7214, kb_relative_information_score: 6512.8077, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 0.9896, recall: 0.8629, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.661, scimark_benchmark: 1352.3373, usercpu_time_millis: 180, 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

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From your own software

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

OpenML APIs