Task
Supervised Classification on fri_c1_500_10

Supervised Classification on fri_c1_500_10

Task 4394 Supervised Classification fri_c1_500_10 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8471, kappa: 0.6907, kb_relative_information_score: 3088.6613, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8493, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6846, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8536, kappa: 0.7043, kb_relative_information_score: 2782.0186, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9934, recall: 0.8536, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6496, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8687, kappa: 0.7348, kb_relative_information_score: 3175.2003, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9934, recall: 0.8688, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6294, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7548, kappa: 0.5077, kb_relative_information_score: 2508.9967, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.7577, predictive_accuracy: 0.7542, prior_entropy: 0.9934, recall: 0.7542, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9962, scimark_benchmark: 904.6764, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8814, kappa: 0.7603, kb_relative_information_score: 3249.0458, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 0.9934, recall: 0.8816, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5836, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6607, kappa: 0.3152, kb_relative_information_score: 1081.6112, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.6607, predictive_accuracy: 0.6606, prior_entropy: 0.9934, recall: 0.6606, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9142, scimark_benchmark: 916.0735, usercpu_time_millis: 9190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 9130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8608, kappa: 0.7191, kb_relative_information_score: 3276.1712, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8609, predictive_accuracy: 0.8608, prior_entropy: 0.9934, recall: 0.8608, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6781, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7548, kappa: 0.5077, kb_relative_information_score: 2508.9967, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.7577, predictive_accuracy: 0.7542, prior_entropy: 0.9934, recall: 0.7542, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9962, scimark_benchmark: 944.1783, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7548, kappa: 0.5077, kb_relative_information_score: 2508.9967, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.7577, predictive_accuracy: 0.7542, prior_entropy: 0.9934, recall: 0.7542, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9962, scimark_benchmark: 932.438, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9103, kappa: 0.8189, kb_relative_information_score: 3269.0637, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.9934, recall: 0.9104, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5453, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8471, kappa: 0.6907, kb_relative_information_score: 3088.6613, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8493, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6846, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8536, kappa: 0.7043, kb_relative_information_score: 2782.0186, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9934, recall: 0.8536, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6496, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8687, kappa: 0.7348, kb_relative_information_score: 3175.2003, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9934, recall: 0.8688, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6294, scimark_benchmark: 936.2574, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7548, kappa: 0.5077, kb_relative_information_score: 2508.9967, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.7577, predictive_accuracy: 0.7542, prior_entropy: 0.9934, recall: 0.7542, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9962, scimark_benchmark: 927.2882, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8814, kappa: 0.7603, kb_relative_information_score: 3249.0458, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 0.9934, recall: 0.8816, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5836, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6607, kappa: 0.3152, kb_relative_information_score: 1081.6112, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.6607, predictive_accuracy: 0.6606, prior_entropy: 0.9934, recall: 0.6606, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9142, scimark_benchmark: 938.4601, usercpu_time_millis: 9140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8608, kappa: 0.7191, kb_relative_information_score: 3276.1712, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8609, predictive_accuracy: 0.8608, prior_entropy: 0.9934, recall: 0.8608, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6781, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9103, kappa: 0.8189, kb_relative_information_score: 3269.0637, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.9934, recall: 0.9104, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5453, scimark_benchmark: 945.6228, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9053, kappa: 0.8091, kb_relative_information_score: 2565.1364, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.9056, predictive_accuracy: 0.9052, prior_entropy: 0.9934, recall: 0.9052, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6235, scimark_benchmark: 901.4991, usercpu_time_millis: 3230, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9007, kappa: 0.7998, kb_relative_information_score: 2538.4641, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.9011, predictive_accuracy: 0.9006, prior_entropy: 0.9934, recall: 0.9006, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6298, scimark_benchmark: 859.5223, usercpu_time_millis: 1250, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8983, kappa: 0.7951, kb_relative_information_score: 2532.9423, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8988, predictive_accuracy: 0.8982, prior_entropy: 0.9934, recall: 0.8982, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6325, scimark_benchmark: 897.0978, usercpu_time_millis: 600, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8909, kappa: 0.7799, kb_relative_information_score: 2536.2764, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8911, predictive_accuracy: 0.8908, prior_entropy: 0.9934, recall: 0.8908, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6384, scimark_benchmark: 933.9, usercpu_time_millis: 300, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8762, kappa: 0.7502, kb_relative_information_score: 2530.3247, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8763, predictive_accuracy: 0.8762, prior_entropy: 0.9934, recall: 0.8762, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6523, scimark_benchmark: 862.7006, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8811, kappa: 0.76, kb_relative_information_score: 3476.722, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8811, predictive_accuracy: 0.881, prior_entropy: 0.9934, recall: 0.881, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5979, scimark_benchmark: 889.4922, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8811, kappa: 0.76, kb_relative_information_score: 3476.722, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8811, predictive_accuracy: 0.881, prior_entropy: 0.9934, recall: 0.881, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5979, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8817, kappa: 0.7612, kb_relative_information_score: 3465.2606, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 0.9934, recall: 0.8816, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5975, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8763, kappa: 0.7505, kb_relative_information_score: 3340.4463, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8765, predictive_accuracy: 0.8762, prior_entropy: 0.9934, recall: 0.8762, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6036, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8495, kappa: 0.696, kb_relative_information_score: 2945.7254, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8495, predictive_accuracy: 0.8496, prior_entropy: 0.9934, recall: 0.8496, relative_absolute_error: 0.436, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.652, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.388, kb_relative_information_score: -0.4886, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4977, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8902, kappa: 0.7788, kb_relative_information_score: 3846.2254, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.9934, recall: 0.89, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6094, scimark_benchmark: 941.9549, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8726, kappa: 0.7435, kb_relative_information_score: 3638.7478, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8736, predictive_accuracy: 0.8724, prior_entropy: 0.9934, recall: 0.8724, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6501, scimark_benchmark: 936.1714, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8451, kappa: 0.6884, kb_relative_information_score: 3336.0233, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8466, predictive_accuracy: 0.8448, prior_entropy: 0.9934, recall: 0.8448, relative_absolute_error: 0.3363, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7119, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8471, kappa: 0.6907, kb_relative_information_score: 3088.6613, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8493, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6846, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8189, kappa: 0.6348, kb_relative_information_score: 2890.6068, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8191, predictive_accuracy: 0.8188, prior_entropy: 0.9934, recall: 0.8188, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6901, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1329.8008, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.6607, kappa: 0.3152, kb_relative_information_score: 1081.598, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.6607, predictive_accuracy: 0.6606, prior_entropy: 0.9934, recall: 0.6606, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9142, scimark_benchmark: 1332.1612, usercpu_time_millis: 9270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8536, kappa: 0.7043, kb_relative_information_score: 2782.0186, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9934, recall: 0.8536, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6496, scimark_benchmark: 1346.1568, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8687, kappa: 0.7348, kb_relative_information_score: 3175.2003, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9934, recall: 0.8688, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6294, scimark_benchmark: 1334.863, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8189, kappa: 0.6348, kb_relative_information_score: 2890.6068, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8191, predictive_accuracy: 0.8188, prior_entropy: 0.9934, recall: 0.8188, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6901, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8608, kappa: 0.7191, kb_relative_information_score: 3276.1712, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8609, predictive_accuracy: 0.8608, prior_entropy: 0.9934, recall: 0.8608, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6781, scimark_benchmark: 1335.5309, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9103, kappa: 0.8189, kb_relative_information_score: 3269.0637, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.9104, predictive_accuracy: 0.9104, prior_entropy: 0.9934, recall: 0.9104, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5453, scimark_benchmark: 1317.5348, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8687, kappa: 0.7348, kb_relative_information_score: 3175.2003, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8688, prior_entropy: 0.9934, recall: 0.8688, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6294, scimark_benchmark: 1339.6197, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8887, kappa: 0.7751, kb_relative_information_score: 3474.0185, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8887, predictive_accuracy: 0.8888, prior_entropy: 0.9934, recall: 0.8888, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.5965, scimark_benchmark: 1313.8988, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8814, kappa: 0.7603, kb_relative_information_score: 3249.0458, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 0.9934, recall: 0.8816, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5836, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8415, kappa: 0.6801, kb_relative_information_score: 2987.8382, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 0.9934, recall: 0.8414, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6718, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8536, kappa: 0.7043, kb_relative_information_score: 2782.0186, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9934, recall: 0.8536, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6496, scimark_benchmark: 1371.4836, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.667, kappa: 0.3265, kb_relative_information_score: 1025.8337, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.667, predictive_accuracy: 0.6684, prior_entropy: 0.9934, recall: 0.6684, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9315, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8189, kappa: 0.6348, kb_relative_information_score: 2890.6068, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4954, number_of_instances: 5000, precision: 0.8191, predictive_accuracy: 0.8188, prior_entropy: 0.9934, recall: 0.8188, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6901, scimark_benchmark: 1348.2804,

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