Task
Supervised Classification on fri_c0_1000_10

Supervised Classification on fri_c0_1000_10

Task 4415 Supervised Classification fri_c0_1000_10 187 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8163, kappa: 0.6327, kb_relative_information_score: 5316.5324, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8166, predictive_accuracy: 0.8163, prior_entropy: 0.9998, recall: 0.8163, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7413, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8296, kappa: 0.6591, kb_relative_information_score: 4466.5833, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 0.9998, recall: 0.8296, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7083, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8332, kappa: 0.6663, kb_relative_information_score: 5379.0988, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 0.9998, recall: 0.8332, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6817, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 7228.7006, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8615, predictive_accuracy: 0.8615, prior_entropy: 0.9998, recall: 0.8615, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 904.6764, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8498, kappa: 0.6996, kb_relative_information_score: 5665.2848, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8499, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 6092.0759, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8692, predictive_accuracy: 0.8692, prior_entropy: 0.9998, recall: 0.8692, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6231, scimark_benchmark: 941.6675, usercpu_time_millis: 15680, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 15490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8144, kappa: 0.6287, kb_relative_information_score: 4927.605, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8146, predictive_accuracy: 0.8145, prior_entropy: 0.9998, recall: 0.8145, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7265, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 7228.7006, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8615, predictive_accuracy: 0.8615, prior_entropy: 0.9998, recall: 0.8615, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 944.1783, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 7228.7006, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8615, predictive_accuracy: 0.8615, prior_entropy: 0.9998, recall: 0.8615, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 947.1781, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 943.1009, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8163, kappa: 0.6327, kb_relative_information_score: 5316.5324, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8166, predictive_accuracy: 0.8163, prior_entropy: 0.9998, recall: 0.8163, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7413, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8296, kappa: 0.6591, kb_relative_information_score: 4466.5833, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8296, predictive_accuracy: 0.8296, prior_entropy: 0.9998, recall: 0.8296, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7083, scimark_benchmark: 908.9569, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8332, kappa: 0.6663, kb_relative_information_score: 5379.0988, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 0.9998, recall: 0.8332, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6817, scimark_benchmark: 940.1541, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 7228.7006, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8615, predictive_accuracy: 0.8615, prior_entropy: 0.9998, recall: 0.8615, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 934.7923, usercpu_time_millis: 240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8241, kappa: 0.6482, kb_relative_information_score: 4623.1894, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9998, recall: 0.8242, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7077, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8498, kappa: 0.6996, kb_relative_information_score: 5665.2848, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8499, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 6092.0759, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8692, predictive_accuracy: 0.8692, prior_entropy: 0.9998, recall: 0.8692, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6231, scimark_benchmark: 938.4601, usercpu_time_millis: 11500, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 11280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8144, kappa: 0.6287, kb_relative_information_score: 4927.605, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8146, predictive_accuracy: 0.8145, prior_entropy: 0.9998, recall: 0.8145, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7265, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 945.6228, usercpu_time_millis: 390, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8753, kappa: 0.7505, kb_relative_information_score: 5451.8764, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8753, predictive_accuracy: 0.8753, prior_entropy: 0.9998, recall: 0.8753, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.628, scimark_benchmark: 901.4991, usercpu_time_millis: 6820, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 4570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.873, kappa: 0.7459, kb_relative_information_score: 5460.9422, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.873, predictive_accuracy: 0.873, prior_entropy: 0.9998, recall: 0.873, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6286, scimark_benchmark: 938.4601, usercpu_time_millis: 2930, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8701, kappa: 0.7402, kb_relative_information_score: 5463.0083, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8702, predictive_accuracy: 0.8701, prior_entropy: 0.9998, recall: 0.8701, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6316, scimark_benchmark: 935.3212, usercpu_time_millis: 1420, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8624, kappa: 0.7247, kb_relative_information_score: 5407.4642, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8624, predictive_accuracy: 0.8624, prior_entropy: 0.9998, recall: 0.8624, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6427, scimark_benchmark: 944.235, usercpu_time_millis: 690, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8478, kappa: 0.6955, kb_relative_information_score: 5340.3821, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8478, predictive_accuracy: 0.8478, prior_entropy: 0.9998, recall: 0.8478, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6613, scimark_benchmark: 939.7241, usercpu_time_millis: 350, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8674, kappa: 0.7347, kb_relative_information_score: 6807.7943, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8674, predictive_accuracy: 0.8674, prior_entropy: 0.9998, recall: 0.8674, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6156, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8676, kappa: 0.7351, kb_relative_information_score: 6808.8187, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8676, predictive_accuracy: 0.8676, prior_entropy: 0.9998, recall: 0.8676, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6155, scimark_benchmark: 889.4922, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8685, kappa: 0.7369, kb_relative_information_score: 6788.2451, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8685, predictive_accuracy: 0.8685, prior_entropy: 0.9998, recall: 0.8685, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6136, scimark_benchmark: 894.7131, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8644, kappa: 0.7287, kb_relative_information_score: 6548.3146, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8644, predictive_accuracy: 0.8644, prior_entropy: 0.9998, recall: 0.8644, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6212, scimark_benchmark: 929.0296, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8452, kappa: 0.6902, kb_relative_information_score: 5741.5387, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8452, predictive_accuracy: 0.8452, prior_entropy: 0.9998, recall: 0.8452, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6612, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8766, kappa: 0.7531, kb_relative_information_score: 7411.9655, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8766, predictive_accuracy: 0.8766, prior_entropy: 0.9998, recall: 0.8766, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6395, scimark_benchmark: 938.3115, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 1374.9737, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8692, kappa: 0.7383, kb_relative_information_score: 6092.0764, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8692, predictive_accuracy: 0.8692, prior_entropy: 0.9998, recall: 0.8692, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6231, scimark_benchmark: 1318.6467, usercpu_time_millis: 7140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 7010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8144, kappa: 0.6287, kb_relative_information_score: 4927.605, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8146, predictive_accuracy: 0.8145, prior_entropy: 0.9998, recall: 0.8145, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7265, scimark_benchmark: 1358.6198, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 1336.5541, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8163, kappa: 0.6327, kb_relative_information_score: 5316.5324, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8166, predictive_accuracy: 0.8163, prior_entropy: 0.9998, recall: 0.8163, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7413, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8355, kappa: 0.6709, kb_relative_information_score: 5552.5785, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8355, predictive_accuracy: 0.8355, prior_entropy: 0.9998, recall: 0.8355, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6892, scimark_benchmark: 1331.2559, usercpu_time_millis: 950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8332, kappa: 0.6663, kb_relative_information_score: 5379.0988, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8332, predictive_accuracy: 0.8332, prior_entropy: 0.9998, recall: 0.8332, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6817, scimark_benchmark: 1342.2845, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8241, kappa: 0.6482, kb_relative_information_score: 4623.1894, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9998, recall: 0.8242, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7077, scimark_benchmark: 1330.4755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8498, kappa: 0.6996, kb_relative_information_score: 5665.2848, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8499, predictive_accuracy: 0.8498, prior_entropy: 0.9998, recall: 0.8498, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6551, scimark_benchmark: 1335.2363, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1342.4614, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 7228.7006, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8615, predictive_accuracy: 0.8615, prior_entropy: 0.9998, recall: 0.8615, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7444, scimark_benchmark: 1371.4836, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 1360.6367, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8144, kappa: 0.6287, kb_relative_information_score: 4927.605, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8146, predictive_accuracy: 0.8145, prior_entropy: 0.9998, recall: 0.8145, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7265, scimark_benchmark: 1297.2338, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8656, kappa: 0.7312, kb_relative_information_score: 5694.6976, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8656, predictive_accuracy: 0.8656, prior_entropy: 0.9998, recall: 0.8656, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6269, scimark_benchmark: 942.9708, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8245, kappa: 0.6488, kb_relative_information_score: 4812.1091, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8245, predictive_accuracy: 0.8245, prior_entropy: 0.9998, recall: 0.8245, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6993, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8241, kappa: 0.6482, kb_relative_information_score: 4623.1894, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9998, recall: 0.8242, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7077, scimark_benchmark: 938.0414,

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