Task
Supervised Classification on fri_c0_500_50

Supervised Classification on fri_c0_500_50

Task 4456 Supervised Classification fri_c0_500_50 232 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7818, kappa: 0.5633, kb_relative_information_score: 2245.004, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8163, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8243, kappa: 0.6484, kb_relative_information_score: 2342.7073, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9996, recall: 0.8244, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7004, scimark_benchmark: 972.587, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8403, kappa: 0.6804, kb_relative_information_score: 2851.2358, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8404, prior_entropy: 0.9996, recall: 0.8404, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6599, scimark_benchmark: 934.3687, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 904.0772, usercpu_time_millis: 290, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8083, kappa: 0.6169, kb_relative_information_score: 2309.0801, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8116, predictive_accuracy: 0.809, prior_entropy: 0.9996, recall: 0.809, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7355, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8334, kappa: 0.6665, kb_relative_information_score: 2826.7258, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8334, prior_entropy: 0.9996, recall: 0.8334, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.687, scimark_benchmark: 934.2976, usercpu_time_millis: 1480, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.778, kappa: 0.5557, kb_relative_information_score: 2352.0693, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.778, predictive_accuracy: 0.778, prior_entropy: 0.9996, recall: 0.778, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8261, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8382, kappa: 0.6764, kb_relative_information_score: 1595.0013, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8406, predictive_accuracy: 0.8386, prior_entropy: 0.9996, recall: 0.8386, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7748, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 938.5498, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 974.2014, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8382, kappa: 0.6764, kb_relative_information_score: 1595.0013, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8406, predictive_accuracy: 0.8386, prior_entropy: 0.9996, recall: 0.8386, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7748, scimark_benchmark: 943.1009, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7818, kappa: 0.5633, kb_relative_information_score: 2245.004, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8163, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8243, kappa: 0.6484, kb_relative_information_score: 2342.7073, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8245, predictive_accuracy: 0.8244, prior_entropy: 0.9996, recall: 0.8244, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7004, scimark_benchmark: 908.9569, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8403, kappa: 0.6804, kb_relative_information_score: 2851.2358, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8404, prior_entropy: 0.9996, recall: 0.8404, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6599, scimark_benchmark: 938.1282, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 943.6618, usercpu_time_millis: 250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 936.2574, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8083, kappa: 0.6169, kb_relative_information_score: 2309.0801, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8116, predictive_accuracy: 0.809, prior_entropy: 0.9996, recall: 0.809, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7355, scimark_benchmark: 903.2737, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8334, kappa: 0.6665, kb_relative_information_score: 2826.7258, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8334, prior_entropy: 0.9996, recall: 0.8334, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.687, scimark_benchmark: 919.3788, usercpu_time_millis: 1510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.778, kappa: 0.5557, kb_relative_information_score: 2352.0693, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.778, predictive_accuracy: 0.778, prior_entropy: 0.9996, recall: 0.778, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8261, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8382, kappa: 0.6764, kb_relative_information_score: 1595.0013, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8406, predictive_accuracy: 0.8386, prior_entropy: 0.9996, recall: 0.8386, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7748, scimark_benchmark: 936.9595, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8345, kappa: 0.6689, kb_relative_information_score: 2014.9965, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8358, predictive_accuracy: 0.8348, prior_entropy: 0.9996, recall: 0.8348, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7251, scimark_benchmark: 935.5664, usercpu_time_millis: 13800, usercpu_time_millis_testing: 5200, usercpu_time_millis_training: 8600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8275, kappa: 0.6548, kb_relative_information_score: 2006.1468, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8291, predictive_accuracy: 0.8278, prior_entropy: 0.9996, recall: 0.8278, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7288, scimark_benchmark: 934.7923, usercpu_time_millis: 7040, usercpu_time_millis_testing: 2750, usercpu_time_millis_training: 4290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8245, kappa: 0.6489, kb_relative_information_score: 2004.0383, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8256, predictive_accuracy: 0.8248, prior_entropy: 0.9996, recall: 0.8248, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7325, scimark_benchmark: 921.466, usercpu_time_millis: 3450, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8185, kappa: 0.6369, kb_relative_information_score: 1996.1024, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8195, predictive_accuracy: 0.8188, prior_entropy: 0.9996, recall: 0.8188, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7422, scimark_benchmark: 906.8974, usercpu_time_millis: 1360, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7826, kappa: 0.5649, kb_relative_information_score: 1923.9283, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7831, predictive_accuracy: 0.7828, prior_entropy: 0.9996, recall: 0.7828, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7731, scimark_benchmark: 905.3417, usercpu_time_millis: 700, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8554, kappa: 0.7105, kb_relative_information_score: 3388.1596, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 0.9996, recall: 0.8554, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6857, scimark_benchmark: 941.9549, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8384, kappa: 0.677, kb_relative_information_score: 3307.8464, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8393, predictive_accuracy: 0.8384, prior_entropy: 0.9996, recall: 0.8384, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7191, scimark_benchmark: 935.6052, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8051, kappa: 0.6109, kb_relative_information_score: 2969.1772, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8073, predictive_accuracy: 0.8052, prior_entropy: 0.9996, recall: 0.8052, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7916, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7176, kappa: 0.4459, kb_relative_information_score: 2148.2514, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7388, predictive_accuracy: 0.7214, prior_entropy: 0.9996, recall: 0.7214, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9422, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7948, kappa: 0.5893, kb_relative_information_score: 1228.0254, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7953, predictive_accuracy: 0.795, prior_entropy: 0.9996, recall: 0.795, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8343, scimark_benchmark: 938.3115, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7818, kappa: 0.5633, kb_relative_information_score: 2245.004, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8163, scimark_benchmark: 923.509, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 949.7766, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 926.6704, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1342.8632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 1302.7455, usercpu_time_millis: 260, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1322.5413, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 908.2231, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 1316.5668, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 1325.8468, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7818, kappa: 0.5633, kb_relative_information_score: 2245.004, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.7822, predictive_accuracy: 0.782, prior_entropy: 0.9996, recall: 0.782, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8163, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8083, kappa: 0.6169, kb_relative_information_score: 2309.0801, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8116, predictive_accuracy: 0.809, prior_entropy: 0.9996, recall: 0.809, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7355, scimark_benchmark: 1317.5857, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 1338.6772, usercpu_time_millis: 260, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2152.475, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8334, kappa: 0.6665, kb_relative_information_score: 2826.7258, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8334, prior_entropy: 0.9996, recall: 0.8334, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.687, scimark_benchmark: 1313.11, usercpu_time_millis: 700, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1310.3168, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8403, kappa: 0.6804, kb_relative_information_score: 2851.2358, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8404, prior_entropy: 0.9996, recall: 0.8404, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6599, scimark_benchmark: 1334.863, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 3326.6043, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8329, predictive_accuracy: 0.8328, prior_entropy: 0.9996, recall: 0.8328, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.818, scimark_benchmark: 1332.7986, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1337.1928, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8056, kappa: 0.611, kb_relative_information_score: 2162.7202, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.8056, predictive_accuracy: 0.8056, prior_entropy: 0.9996, recall: 0.8056, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7515, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.778, kappa: 0.5557, kb_relative_information_score: 2352.0693, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4997, number_of_instances: 5000, precision: 0.778, predictive_accuracy: 0.778, prior_entropy: 0.9996, recall: 0.778, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8261, scimark_benchmark: 1313.11, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,

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