Task
Supervised Classification on fri_c3_1000_25

Supervised Classification on fri_c3_1000_25

Task 3581 Supervised Classification fri_c3_1000_25 399 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8798, kappa: 0.7562, kb_relative_information_score: 687.9622, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9906, recall: 0.88, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.673, kappa: 0.336, kb_relative_information_score: 198.8546, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6727, predictive_accuracy: 0.674, prior_entropy: 0.9906, recall: 0.674, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9055, kappa: 0.8079, kb_relative_information_score: 694.6211, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9074, predictive_accuracy: 0.906, prior_entropy: 0.9906, recall: 0.906, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.661, kappa: 0.3116, kb_relative_information_score: 208.5423, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6606, predictive_accuracy: 0.662, prior_entropy: 0.9906, recall: 0.662, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.673, kappa: 0.336, kb_relative_information_score: 218.2262, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6727, predictive_accuracy: 0.674, prior_entropy: 0.9906, recall: 0.674, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6126, kappa: 0.2128, kb_relative_information_score: 133.5939, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6122, predictive_accuracy: 0.615, prior_entropy: 0.9906, recall: 0.615, relative_absolute_error: 0.8808, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.909, kappa: 0.8155, kb_relative_information_score: 810.9742, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.909, predictive_accuracy: 0.909, prior_entropy: 0.9906, recall: 0.909, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.6583, kappa: 0.3056, kb_relative_information_score: 192.7749, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.658, predictive_accuracy: 0.66, prior_entropy: 0.9906, recall: 0.66, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.925, kappa: 0.8479, kb_relative_information_score: 711.0407, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 0.9906, recall: 0.925, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6627, kappa: 0.3144, kb_relative_information_score: 194.0664, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6629, predictive_accuracy: 0.665, prior_entropy: 0.9906, recall: 0.665, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7721, kappa: 0.5386, kb_relative_information_score: 509.5919, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7724, predictive_accuracy: 0.772, prior_entropy: 0.9906, recall: 0.772, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.7139, kappa: 0.4184, kb_relative_information_score: 94.483, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7163, predictive_accuracy: 0.717, prior_entropy: 0.9906, recall: 0.717, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.6058, kappa: 0.1986, kb_relative_information_score: 141.8541, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6055, predictive_accuracy: 0.609, prior_entropy: 0.9906, recall: 0.609, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6666, kappa: 0.326, kb_relative_information_score: 301.2753, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6676, predictive_accuracy: 0.666, prior_entropy: 0.9906, recall: 0.666, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.904, kappa: 0.8055, kb_relative_information_score: 709.7534, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9906, recall: 0.904, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8563, kappa: 0.7081, kb_relative_information_score: 413.0013, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8574, predictive_accuracy: 0.857, prior_entropy: 0.9906, recall: 0.857, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.3985, kb_relative_information_score: -0.0354, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7771, kappa: 0.5484, kb_relative_information_score: 397.2459, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7772, predictive_accuracy: 0.777, prior_entropy: 0.9906, recall: 0.777, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8182, kappa: 0.6322, kb_relative_information_score: 593.4797, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8187, predictive_accuracy: 0.818, prior_entropy: 0.9906, recall: 0.818, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.917, kappa: 0.8317, kb_relative_information_score: 773.0134, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 0.9906, recall: 0.917, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6766, kappa: 0.3465, kb_relative_information_score: 339.6936, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6778, predictive_accuracy: 0.676, prior_entropy: 0.9906, recall: 0.676, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 724.0115, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6725, kappa: 0.3357, kb_relative_information_score: 205.6933, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6723, predictive_accuracy: 0.673, prior_entropy: 0.9906, recall: 0.673, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6653, kappa: 0.3223, kb_relative_information_score: 195.6879, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6656, predictive_accuracy: 0.665, prior_entropy: 0.9906, recall: 0.665, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6652, kappa: 0.3204, kb_relative_information_score: 209.0074, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6648, predictive_accuracy: 0.666, prior_entropy: 0.9906, recall: 0.666, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6609, kappa: 0.3113, kb_relative_information_score: 206.1172, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6605, predictive_accuracy: 0.662, prior_entropy: 0.9906, recall: 0.662, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 724.0115, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8058, kappa: 0.606, kb_relative_information_score: 545.4282, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8057, predictive_accuracy: 0.806, prior_entropy: 0.9906, recall: 0.806, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6783, kappa: 0.349, kb_relative_information_score: 343.7694, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6788, predictive_accuracy: 0.678, prior_entropy: 0.9906, recall: 0.678, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.725, kappa: 0.4429, kb_relative_information_score: 439.5491, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7251, predictive_accuracy: 0.725, prior_entropy: 0.9906, recall: 0.725, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8858, kappa: 0.7681, kb_relative_information_score: 533.4557, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9906, recall: 0.886, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8798, kappa: 0.7562, kb_relative_information_score: 687.9622, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9906, recall: 0.88, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6901, kappa: 0.3708, kb_relative_information_score: 208.8061, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6898, predictive_accuracy: 0.691, prior_entropy: 0.9906, recall: 0.691, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8314, kappa: 0.66, kb_relative_information_score: 484.5056, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8335, predictive_accuracy: 0.831, prior_entropy: 0.9906, recall: 0.831, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.8391, kappa: 0.674, kb_relative_information_score: 671.8658, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8391, predictive_accuracy: 0.839, prior_entropy: 0.9906, recall: 0.839, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7032, kappa: 0.3967, kb_relative_information_score: 402.8675, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 0.9906, recall: 0.707, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0897, scimark_benchmark: 1697.6783, usercpu_time_millis: 250, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5668, kappa: 0.122, kb_relative_information_score: 117.5663, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.5667, predictive_accuracy: 0.567, prior_entropy: 0.9906, recall: 0.567, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.658, root_relative_squared_error: 1.3247, scimark_benchmark: 1697.6783, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6941, kappa: 0.3802, kb_relative_information_score: 376.3752, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6941, predictive_accuracy: 0.694, prior_entropy: 0.9906, recall: 0.694, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1136, scimark_benchmark: 1862.8608, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5668, kappa: 0.122, kb_relative_information_score: 117.5663, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.5667, predictive_accuracy: 0.567, prior_entropy: 0.9906, recall: 0.567, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.658, root_relative_squared_error: 1.3247, scimark_benchmark: 1378.2692, usercpu_time_millis: 470, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6941, kappa: 0.3802, kb_relative_information_score: 376.3752, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6941, predictive_accuracy: 0.694, prior_entropy: 0.9906, recall: 0.694, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1136, scimark_benchmark: 1394.4683, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7032, kappa: 0.3967, kb_relative_information_score: 402.8675, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 0.9906, recall: 0.707, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0897, scimark_benchmark: 1608.7443, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6404, kappa: 0.3062, kb_relative_information_score: 177.953, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6767, predictive_accuracy: 0.644, prior_entropy: 0.9906, recall: 0.644, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9607, scimark_benchmark: 1918.4916, usercpu_time_millis: 4578.125, usercpu_time_millis_training: 4578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.652, kappa: 0.2927, kb_relative_information_score: 203.9247, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6518, predictive_accuracy: 0.654, prior_entropy: 0.9906, recall: 0.654, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.952, scimark_benchmark: 1918.4916, usercpu_time_millis: 5546.875, usercpu_time_millis_training: 5546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6673, kappa: 0.3266, kb_relative_information_score: 321.3528, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6677, predictive_accuracy: 0.667, prior_entropy: 0.9906, recall: 0.667, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5771, root_relative_squared_error: 1.1617, scimark_benchmark: 1427.64, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.6744, kappa: 0.3392, kb_relative_information_score: 192.2786, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.674, predictive_accuracy: 0.675, prior_entropy: 0.9906, recall: 0.675, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9244, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.5771, kappa: 0.1417, kb_relative_information_score: 139.7307, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.5765, predictive_accuracy: 0.578, prior_entropy: 0.9906, recall: 0.578, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6489, root_relative_squared_error: 1.3063, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9091, kappa: 0.8158, kb_relative_information_score: 741.7437, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9091, predictive_accuracy: 0.909, prior_entropy: 0.9906, recall: 0.909, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5122, scimark_benchmark: 1744.8652, usercpu_time_millis: 609.375, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8739, kappa: 0.7443, kb_relative_information_score: 671.4965, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9906, recall: 0.874, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6757, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8968, kappa: 0.7907, kb_relative_information_score: 538.3379, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.897, predictive_accuracy: 0.897, prior_entropy: 0.9906, recall: 0.897, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6144, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6725, kappa: 0.3357, kb_relative_information_score: 205.6933, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6723, predictive_accuracy: 0.673, prior_entropy: 0.9906, recall: 0.673, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.935, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.6423, kappa: 0.3064, kb_relative_information_score: 175.9658, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6743, predictive_accuracy: 0.645, prior_entropy: 0.9906, recall: 0.645, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9545, scimark_benchmark: 1744.8652, usercpu_time_millis: 453.125, usercpu_time_millis_training: 453.125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.5771, kappa: 0.1417, kb_relative_information_score: 139.7307, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.5765, predictive_accuracy: 0.578, prior_entropy: 0.9906, recall: 0.578, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6489, root_relative_squared_error: 1.3063, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9091, kappa: 0.8158, kb_relative_information_score: 741.7437, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9091, predictive_accuracy: 0.909, prior_entropy: 0.9906, recall: 0.909, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5122, scimark_benchmark: 1744.8652, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.6744, kappa: 0.3392, kb_relative_information_score: 192.2786, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.674, predictive_accuracy: 0.675, prior_entropy: 0.9906, recall: 0.675, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9244, scimark_benchmark: 1017.0255, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8798, kappa: 0.7562, kb_relative_information_score: 687.9622, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9906, recall: 0.88, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6536, scimark_benchmark: 1303.869, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9211, kappa: 0.8405, kb_relative_information_score: 743.3386, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9218, predictive_accuracy: 0.921, prior_entropy: 0.9906, recall: 0.921, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4968, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8943, kappa: 0.7881, kb_relative_information_score: 794.4063, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.9011, predictive_accuracy: 0.894, prior_entropy: 0.9906, recall: 0.894, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5315, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5623, kappa: 0.1675, kb_relative_information_score: 133.6531, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6041, predictive_accuracy: 0.57, prior_entropy: 0.9906, recall: 0.57, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5624, root_relative_squared_error: 1.1321, scimark_benchmark: 1840.6094, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.6391, kappa: 0.2738, kb_relative_information_score: 135.2806, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6427, predictive_accuracy: 0.638, prior_entropy: 0.9906, recall: 0.638, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9605, scimark_benchmark: 1873.1108, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.917, kappa: 0.8317, kb_relative_information_score: 773.0134, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 0.9906, recall: 0.917, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4931, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6126, kappa: 0.2128, kb_relative_information_score: 144.6605, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6122, predictive_accuracy: 0.615, prior_entropy: 0.9906, recall: 0.615, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.997, scimark_benchmark: 1873.1108, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 97.1876, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.6738, kappa: 0.3421, kb_relative_information_score: 333.58, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.676, predictive_accuracy: 0.673, prior_entropy: 0.9906, recall: 0.673, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1512, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6669, kappa: 0.3358, kb_relative_information_score: 319.315, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6767, predictive_accuracy: 0.666, prior_entropy: 0.9906, recall: 0.666, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1634, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9199, kappa: 0.8377, kb_relative_information_score: 836.9329, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9906, recall: 0.92, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8841, kappa: 0.7656, kb_relative_information_score: 700.8134, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.9906, recall: 0.884, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6262, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8642, kappa: 0.7252, kb_relative_information_score: 652.9512, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9906, recall: 0.864, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6698, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6617, kappa: 0.3125, kb_relative_information_score: 194.1289, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6619, predictive_accuracy: 0.664, prior_entropy: 0.9906, recall: 0.664, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9249, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.673, kappa: 0.336, kb_relative_information_score: 218.2262, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6727, predictive_accuracy: 0.674, prior_entropy: 0.9906, recall: 0.674, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9381, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8378, kappa: 0.6711, kb_relative_information_score: 669.8279, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 0.9906, recall: 0.838, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7844, kappa: 0.5643, kb_relative_information_score: 559.7831, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7854, predictive_accuracy: 0.784, prior_entropy: 0.9906, recall: 0.784, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.6545, kappa: 0.2981, kb_relative_information_score: 307.0878, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.6577, predictive_accuracy: 0.66, prior_entropy: 0.9906, recall: 0.66, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.895, kappa: 0.7872, kb_relative_information_score: 756.8584, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.895, predictive_accuracy: 0.895, prior_entropy: 0.9906, recall: 0.895, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6111, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8691, kappa: 0.7349, kb_relative_information_score: 724.0115, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 0.9906, recall: 0.869, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.708, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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