Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 4593 Supervised Classification grub-damage 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7488, kappa: 0.3992, kb_relative_information_score: 392.0997, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.758, predictive_accuracy: 0.7665, prior_entropy: 0.9027, recall: 0.7665, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9106, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7211, kappa: 0.3426, kb_relative_information_score: 185.9745, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7182, predictive_accuracy: 0.7284, prior_entropy: 0.9027, recall: 0.7284, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9477, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.728, kappa: 0.3701, kb_relative_information_score: 355.7916, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7276, predictive_accuracy: 0.7284, prior_entropy: 0.9027, recall: 0.7284, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9772, scimark_benchmark: 934.3687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.69, kappa: 0.2683, kb_relative_information_score: 248.3351, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6858, predictive_accuracy: 0.6987, prior_entropy: 0.9027, recall: 0.6987, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9564, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6925, kappa: 0.2726, kb_relative_information_score: 345.5475, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6884, predictive_accuracy: 0.7026, prior_entropy: 0.9027, recall: 0.7026, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9944, scimark_benchmark: 904.0772, usercpu_time_millis: 430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7764, kappa: 0.4837, kb_relative_information_score: 556.3553, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7768, predictive_accuracy: 0.7761, prior_entropy: 0.9027, recall: 0.7761, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9167, scimark_benchmark: 944.1067, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7746, kappa: 0.4833, kb_relative_information_score: 605.2203, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.777, predictive_accuracy: 0.7729, prior_entropy: 0.9027, recall: 0.7729, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9115, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6782, kappa: 0.2415, kb_relative_information_score: 262.7433, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6737, predictive_accuracy: 0.6865, prior_entropy: 0.9027, recall: 0.6865, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9613, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7488, kappa: 0.3992, kb_relative_information_score: 392.0997, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.758, predictive_accuracy: 0.7665, prior_entropy: 0.9027, recall: 0.7665, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9106, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7211, kappa: 0.3426, kb_relative_information_score: 185.9745, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7182, predictive_accuracy: 0.7284, prior_entropy: 0.9027, recall: 0.7284, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9477, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.728, kappa: 0.3701, kb_relative_information_score: 355.7916, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7276, predictive_accuracy: 0.7284, prior_entropy: 0.9027, recall: 0.7284, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9772, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.69, kappa: 0.2683, kb_relative_information_score: 248.3351, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6858, predictive_accuracy: 0.6987, prior_entropy: 0.9027, recall: 0.6987, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9564, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6925, kappa: 0.2726, kb_relative_information_score: 345.5475, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6884, predictive_accuracy: 0.7026, prior_entropy: 0.9027, recall: 0.7026, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9944, scimark_benchmark: 934.695, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6782, kappa: 0.2415, kb_relative_information_score: 262.7433, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6737, predictive_accuracy: 0.6865, prior_entropy: 0.9027, recall: 0.6865, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9613, scimark_benchmark: 730.6551, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7235, kappa: 0.3456, kb_relative_information_score: 367.7606, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7211, predictive_accuracy: 0.7329, prior_entropy: 0.9027, recall: 0.7329, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9087, scimark_benchmark: 1051.249, usercpu_time_millis: 3030, usercpu_time_millis_testing: 1090, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.728, kappa: 0.3553, kb_relative_information_score: 375.1369, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7261, predictive_accuracy: 0.7381, prior_entropy: 0.9027, recall: 0.7381, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9052, scimark_benchmark: 904.5548, usercpu_time_millis: 910, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7195, kappa: 0.3347, kb_relative_information_score: 365.335, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7173, predictive_accuracy: 0.7303, prior_entropy: 0.9027, recall: 0.7303, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9141, scimark_benchmark: 905.2959, usercpu_time_millis: 410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7094, kappa: 0.3121, kb_relative_information_score: 342.1706, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7062, predictive_accuracy: 0.7194, prior_entropy: 0.9027, recall: 0.7194, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9251, scimark_benchmark: 938.3401, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7041, kappa: 0.3011, kb_relative_information_score: 347.1044, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7005, predictive_accuracy: 0.7129, prior_entropy: 0.9027, recall: 0.7129, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9355, scimark_benchmark: 897.0978, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.734, kappa: 0.3734, kb_relative_information_score: 423.771, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7315, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9533, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.734, kappa: 0.3734, kb_relative_information_score: 423.771, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7315, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9533, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.734, kappa: 0.3734, kb_relative_information_score: 423.771, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7315, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9533, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7359, kappa: 0.3777, kb_relative_information_score: 423.7239, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7334, predictive_accuracy: 0.7426, prior_entropy: 0.9027, recall: 0.7426, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9529, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.7427, kappa: 0.3922, kb_relative_information_score: 419.2278, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7407, predictive_accuracy: 0.7503, prior_entropy: 0.9027, recall: 0.7503, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9376, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4793, f_measure: 0.5555, kb_relative_information_score: -2.1896, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7144, kappa: 0.317, kb_relative_information_score: 546.5421, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7184, predictive_accuracy: 0.7342, prior_entropy: 0.9027, recall: 0.7342, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0157, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7208, kappa: 0.3324, kb_relative_information_score: 573.1485, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7255, predictive_accuracy: 0.74, prior_entropy: 0.9027, recall: 0.74, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9968, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7134, kappa: 0.3131, kb_relative_information_score: 562.4379, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7268, predictive_accuracy: 0.74, prior_entropy: 0.9027, recall: 0.74, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0141, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7193, kappa: 0.3279, kb_relative_information_score: 550.2696, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7283, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0105, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5555, kb_relative_information_score: 349.2785, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2092, scimark_benchmark: 922.8232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.69, kappa: 0.2683, kb_relative_information_score: 248.3351, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6858, predictive_accuracy: 0.6987, prior_entropy: 0.9027, recall: 0.6987, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9564, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7764, kappa: 0.4837, kb_relative_information_score: 556.3553, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7768, predictive_accuracy: 0.7761, prior_entropy: 0.9027, recall: 0.7761, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9167, scimark_benchmark: 1320.8283, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6782, kappa: 0.2415, kb_relative_information_score: 262.7433, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6737, predictive_accuracy: 0.6865, prior_entropy: 0.9027, recall: 0.6865, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9613, scimark_benchmark: 1335.6555, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7488, kappa: 0.3992, kb_relative_information_score: 392.0997, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.758, predictive_accuracy: 0.7665, prior_entropy: 0.9027, recall: 0.7665, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.9106, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.728, kappa: 0.3701, kb_relative_information_score: 355.7916, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7276, predictive_accuracy: 0.7284, prior_entropy: 0.9027, recall: 0.7284, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9772, scimark_benchmark: 1299.3719, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 1309.4708, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 1269.8433, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7746, kappa: 0.4833, kb_relative_information_score: 605.2203, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.777, predictive_accuracy: 0.7729, prior_entropy: 0.9027, recall: 0.7729, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9115, scimark_benchmark: 1337.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 1396.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.69, kappa: 0.2683, kb_relative_information_score: 248.3351, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6858, predictive_accuracy: 0.6987, prior_entropy: 0.9027, recall: 0.6987, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9564, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6782, kappa: 0.2415, kb_relative_information_score: 262.7433, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.6737, predictive_accuracy: 0.6865, prior_entropy: 0.9027, recall: 0.6865, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9613, scimark_benchmark: 1296.9979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 1350.4825, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7746, kappa: 0.4833, kb_relative_information_score: 605.2203, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.777, predictive_accuracy: 0.7729, prior_entropy: 0.9027, recall: 0.7729, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9115, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 1324.7353, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7125, kappa: 0.3109, kb_relative_information_score: 564.1255, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7284, predictive_accuracy: 0.7406, prior_entropy: 0.9027, recall: 0.7406, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0953, scimark_benchmark: 1324.6608, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7764, kappa: 0.4837, kb_relative_information_score: 556.3553, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7768, predictive_accuracy: 0.7761, prior_entropy: 0.9027, recall: 0.7761, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9167, scimark_benchmark: 1344.4042, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.7246, kappa: 0.3649, kb_relative_information_score: 387.039, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4332, number_of_instances: 1550, precision: 0.7254, predictive_accuracy: 0.7239, prior_entropy: 0.9027, recall: 0.7239, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0123, scimark_benchmark: 1341.5795,

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