OpenML
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 4447 Supervised Classification fri_c4_100_10 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7208, kappa: 0.4406, kb_relative_information_score: 349.4269, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7272, predictive_accuracy: 0.724, prior_entropy: 0.9975, recall: 0.724, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8897, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7481, kappa: 0.4949, kb_relative_information_score: 414.7667, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7485, predictive_accuracy: 0.748, prior_entropy: 0.9975, recall: 0.748, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8367, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7501, kappa: 0.4986, kb_relative_information_score: 459.6145, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9118, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7857, kappa: 0.5694, kb_relative_information_score: 429.867, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7859, predictive_accuracy: 0.786, prior_entropy: 0.9975, recall: 0.786, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.768, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6593, kappa: 0.3178, kb_relative_information_score: 200.1716, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6606, predictive_accuracy: 0.659, prior_entropy: 0.9975, recall: 0.659, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9473, scimark_benchmark: 941.6675, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7716, kappa: 0.5412, kb_relative_information_score: 464.223, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7719, predictive_accuracy: 0.772, prior_entropy: 0.9975, recall: 0.772, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8317, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.801, kappa: 0.6007, kb_relative_information_score: 452.594, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8011, predictive_accuracy: 0.801, prior_entropy: 0.9975, recall: 0.801, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7246, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7208, kappa: 0.4406, kb_relative_information_score: 349.4269, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7272, predictive_accuracy: 0.724, prior_entropy: 0.9975, recall: 0.724, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8897, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7481, kappa: 0.4949, kb_relative_information_score: 414.7667, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7485, predictive_accuracy: 0.748, prior_entropy: 0.9975, recall: 0.748, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8367, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7501, kappa: 0.4986, kb_relative_information_score: 459.6145, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9118, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 926.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7857, kappa: 0.5694, kb_relative_information_score: 429.867, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7859, predictive_accuracy: 0.786, prior_entropy: 0.9975, recall: 0.786, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.768, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6593, kappa: 0.3178, kb_relative_information_score: 200.1716, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6606, predictive_accuracy: 0.659, prior_entropy: 0.9975, recall: 0.659, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9473, scimark_benchmark: 938.4601, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.801, kappa: 0.6007, kb_relative_information_score: 452.594, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8011, predictive_accuracy: 0.801, prior_entropy: 0.9975, recall: 0.801, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7246, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7912, kappa: 0.5818, kb_relative_information_score: 387.7099, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7925, predictive_accuracy: 0.791, prior_entropy: 0.9975, recall: 0.791, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7538, scimark_benchmark: 908.9569, usercpu_time_millis: 1160, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7952, kappa: 0.5897, kb_relative_information_score: 386.9921, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7962, predictive_accuracy: 0.795, prior_entropy: 0.9975, recall: 0.795, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7562, scimark_benchmark: 933.3455, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8131, kappa: 0.6252, kb_relative_information_score: 402.7543, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8135, predictive_accuracy: 0.813, prior_entropy: 0.9975, recall: 0.813, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7438, scimark_benchmark: 935.3212, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7921, kappa: 0.5832, kb_relative_information_score: 406.3057, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7926, predictive_accuracy: 0.792, prior_entropy: 0.9975, recall: 0.792, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7515, scimark_benchmark: 944.235, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7882, kappa: 0.5756, kb_relative_information_score: 398.6443, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7891, predictive_accuracy: 0.788, prior_entropy: 0.9975, recall: 0.788, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7706, scimark_benchmark: 939.7241, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7692, kappa: 0.5363, kb_relative_information_score: 484.7508, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8477, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7692, kappa: 0.5363, kb_relative_information_score: 484.7508, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8477, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7692, kappa: 0.5363, kb_relative_information_score: 484.7508, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8477, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7692, kappa: 0.5363, kb_relative_information_score: 485.1895, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8462, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7638, kappa: 0.5256, kb_relative_information_score: 469.106, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.766, predictive_accuracy: 0.765, prior_entropy: 0.9975, recall: 0.765, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8509, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -1.4035, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7835, kappa: 0.565, kb_relative_information_score: 556.6139, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7842, predictive_accuracy: 0.784, prior_entropy: 0.9975, recall: 0.784, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9001, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7698, kappa: 0.5377, kb_relative_information_score: 522.9374, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9207, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7679, kappa: 0.534, kb_relative_information_score: 517.313, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9975, recall: 0.768, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9221, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7482, kappa: 0.4952, kb_relative_information_score: 488.9431, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7487, predictive_accuracy: 0.748, prior_entropy: 0.9975, recall: 0.748, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9171, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7198, kappa: 0.4425, kb_relative_information_score: 445.7865, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7264, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9397, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7552, kappa: 0.5095, kb_relative_information_score: 476.1763, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7561, predictive_accuracy: 0.755, prior_entropy: 0.9975, recall: 0.755, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9356, scimark_benchmark: 922.8232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6593, kappa: 0.3178, kb_relative_information_score: 200.1716, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6606, predictive_accuracy: 0.659, prior_entropy: 0.9975, recall: 0.659, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9473, scimark_benchmark: 1308.685, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7716, kappa: 0.5412, kb_relative_information_score: 464.223, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7719, predictive_accuracy: 0.772, prior_entropy: 0.9975, recall: 0.772, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8317, scimark_benchmark: 1332.1612, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.801, kappa: 0.6007, kb_relative_information_score: 452.594, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8011, predictive_accuracy: 0.801, prior_entropy: 0.9975, recall: 0.801, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7246, scimark_benchmark: 1343.3311, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7064, kappa: 0.411, kb_relative_information_score: 316.6966, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7106, predictive_accuracy: 0.709, prior_entropy: 0.9975, recall: 0.709, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9092, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7095, kappa: 0.4171, kb_relative_information_score: 321.5355, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7136, predictive_accuracy: 0.712, prior_entropy: 0.9975, recall: 0.712, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9067, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.7716, kappa: 0.5412, kb_relative_information_score: 464.223, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7719, predictive_accuracy: 0.772, prior_entropy: 0.9975, recall: 0.772, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8317, scimark_benchmark: 1322.1893, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.801, kappa: 0.6007, kb_relative_information_score: 452.594, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8011, predictive_accuracy: 0.801, prior_entropy: 0.9975, recall: 0.801, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7246, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7208, kappa: 0.4406, kb_relative_information_score: 349.4269, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7272, predictive_accuracy: 0.724, prior_entropy: 0.9975, recall: 0.724, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8897, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6792, kappa: 0.3565, kb_relative_information_score: 229.1904, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6795, predictive_accuracy: 0.679, prior_entropy: 0.9975, recall: 0.679, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9523, scimark_benchmark: 1417.3093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7642, kappa: 0.528, kb_relative_information_score: 496.6628, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7658, predictive_accuracy: 0.764, prior_entropy: 0.9975, recall: 0.764, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.917, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7491, kappa: 0.4965, kb_relative_information_score: 458.4761, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7492, predictive_accuracy: 0.749, prior_entropy: 0.9975, recall: 0.749, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9129, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7492, kappa: 0.4989, kb_relative_information_score: 397.9965, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7524, predictive_accuracy: 0.749, prior_entropy: 0.9975, recall: 0.749, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9207, scimark_benchmark: 1299.3719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, f_measure: 0.6683, kappa: 0.3352, kb_relative_information_score: 332.573, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6691, predictive_accuracy: 0.668, prior_entropy: 0.9975, recall: 0.668, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5762, root_relative_squared_error: 1.1545, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs