Task
Supervised Classification on heart-switzerland

Supervised Classification on heart-switzerland

Task 9948 Supervised Classification heart-switzerland 139 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.3617, kappa: 0.1018, kb_relative_information_score: 12.9321, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3615, predictive_accuracy: 0.3984, prior_entropy: 2.0062, recall: 0.3984, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4178, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, kappa: 0.0122, kb_relative_information_score: 4.8144, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.2872, number_of_instances: 123, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3852, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5399, kappa: 0.0567, kb_relative_information_score: 3.6745, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.2872, number_of_instances: 123, predictive_accuracy: 0.3984, prior_entropy: 2.0062, recall: 0.3984, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3804, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.3148, kappa: 0.0365, kb_relative_information_score: 13.3999, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3182, predictive_accuracy: 0.3171, prior_entropy: 2.0062, recall: 0.3171, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.3657, kappa: 0.1203, kb_relative_information_score: 20.939, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3726, predictive_accuracy: 0.4065, prior_entropy: 2.0062, recall: 0.4065, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.2831, kappa: -0.0175, kb_relative_information_score: 10.3158, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2862, predictive_accuracy: 0.3171, prior_entropy: 2.0062, recall: 0.3171, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.1275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.0098, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.3337, kappa: 0.0615, kb_relative_information_score: 15.1851, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3243, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3839, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.2464, kappa: -0.0336, kb_relative_information_score: 0.1409, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2565, predictive_accuracy: 0.252, prior_entropy: 2.0062, recall: 0.252, relative_absolute_error: 1.0521, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3935, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.3136, kappa: 0.0685, kb_relative_information_score: 12.6887, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2744, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.0098, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.3369, kappa: 0.0743, kb_relative_information_score: 6.4249, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3232, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 1.0392, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.3933, kappa: 0.1589, kb_relative_information_score: 27.4119, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3982, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4468, root_relative_squared_error: 1.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.3371, kappa: 0.0812, kb_relative_information_score: 6.0009, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3473, predictive_accuracy: 0.3415, prior_entropy: 2.0062, recall: 0.3415, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3482, kappa: 0.0909, kb_relative_information_score: 17.2358, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3473, predictive_accuracy: 0.3496, prior_entropy: 2.0062, recall: 0.3496, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.2643, kappa: -0.0265, kb_relative_information_score: 8.0478, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.231, predictive_accuracy: 0.3089, prior_entropy: 2.0062, recall: 0.3089, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.4009, kappa: 0.1596, kb_relative_information_score: 17.1846, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3881, predictive_accuracy: 0.4228, prior_entropy: 2.0062, recall: 0.4228, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.2331, kappa: -0.0547, kb_relative_information_score: 8.1891, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2184, predictive_accuracy: 0.3333, prior_entropy: 2.0062, recall: 0.3333, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.3496, kappa: 0.074, kb_relative_information_score: 7.5062, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3445, predictive_accuracy: 0.3821, prior_entropy: 2.0062, recall: 0.3821, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.0098, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.3671, kappa: 0.1071, kb_relative_information_score: 19.4086, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3643, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3833, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.3204, kappa: 0.0518, kb_relative_information_score: 7.4738, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3333, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.0098, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.3468, kappa: 0.1002, kb_relative_information_score: 17.751, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3336, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.9099, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.2855, kappa: 0.0035, kb_relative_information_score: 10.8138, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2526, predictive_accuracy: 0.3333, prior_entropy: 2.0062, recall: 0.3333, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4012, root_relative_squared_error: 1.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.3501, kappa: 0.093, kb_relative_information_score: 19.9414, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3458, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.3406, kappa: 0.0816, kb_relative_information_score: 12.0739, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3436, predictive_accuracy: 0.3496, prior_entropy: 2.0062, recall: 0.3496, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.3053, kappa: 0.0396, kb_relative_information_score: 8.5167, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3047, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3799, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.3087, kappa: 0.0619, kb_relative_information_score: 8.097, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.319, predictive_accuracy: 0.3984, prior_entropy: 2.0062, recall: 0.3984, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3793, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.3567, kappa: 0.1029, kb_relative_information_score: 12.3726, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3772, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.413, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.3886, kappa: 0.138, kb_relative_information_score: 14.9878, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3777, predictive_accuracy: 0.4065, prior_entropy: 2.0062, recall: 0.4065, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.382, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.2191, kb_relative_information_score: 7.8141, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.3501, kappa: 0.093, kb_relative_information_score: 19.9414, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3458, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.3226, kappa: 0.0403, kb_relative_information_score: 15.4785, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3074, predictive_accuracy: 0.3415, prior_entropy: 2.0062, recall: 0.3415, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4163, root_relative_squared_error: 1.1011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.3383, kappa: 0.0748, kb_relative_information_score: 12.9609, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3382, predictive_accuracy: 0.3496, prior_entropy: 2.0062, recall: 0.3496, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2191, kb_relative_information_score: 5.6883, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4614, f_measure: 0.2692, kappa: 0.0501, kb_relative_information_score: 3.4638, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3162, predictive_accuracy: 0.4146, prior_entropy: 2.0062, recall: 0.4146, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.379, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.381, kappa: 0.1191, kb_relative_information_score: 17.8018, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3809, predictive_accuracy: 0.4065, prior_entropy: 2.0062, recall: 0.4065, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3919, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.3384, kappa: 0.0718, kb_relative_information_score: 16.369, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3468, predictive_accuracy: 0.3333, prior_entropy: 2.0062, recall: 0.3333, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.3587, kappa: 0.0932, kb_relative_information_score: 21.2992, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3467, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.4032, kappa: 0.1604, kb_relative_information_score: 29.0169, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3827, predictive_accuracy: 0.4309, prior_entropy: 2.0062, recall: 0.4309, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.2619, usercpu_time_millis: 382.975, usercpu_time_millis_testing: 5.86, usercpu_time_millis_training: 377.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.3688, kappa: 0.1126, kb_relative_information_score: 21.1776, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3649, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.3235, usercpu_time_millis: 12.659, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 12.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.3552, kappa: 0.0968, kb_relative_information_score: 18.801, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3568, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.3406, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.3649, kappa: 0.1059, kb_relative_information_score: 24.6312, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.35, predictive_accuracy: 0.4065, prior_entropy: 2.0062, recall: 0.4065, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.2887, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0956, kb_relative_information_score: 6.4815, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.0595, predictive_accuracy: 0.2439, prior_entropy: 2.0062, recall: 0.2439, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.4545, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.53,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.3753, kappa: 0.1297, kb_relative_information_score: 22.4966, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3775, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.3235, usercpu_time_millis: 1.79, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 1.138,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.3291, kappa: 0.0609, kb_relative_information_score: 17.6243, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3337, predictive_accuracy: 0.3252, prior_entropy: 2.0062, recall: 0.3252, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.456, root_relative_squared_error: 1.2062, scimark_benchmark: 1228.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.3371, kappa: 0.0812, kb_relative_information_score: 11.9437, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3473, predictive_accuracy: 0.3415, prior_entropy: 2.0062, recall: 0.3415, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.1036, scimark_benchmark: 1228.6163, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5603, f_measure: 0.3491, kappa: 0.0926, kb_relative_information_score: 18.7502, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3503, predictive_accuracy: 0.3496, prior_entropy: 2.0062, recall: 0.3496, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.3203, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.3607, kappa: 0.1012, kb_relative_information_score: 13.012, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3507, predictive_accuracy: 0.374, prior_entropy: 2.0062, recall: 0.374, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0737, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.3501, kappa: 0.093, kb_relative_information_score: 19.9414, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3458, predictive_accuracy: 0.3577, prior_entropy: 2.0062, recall: 0.3577, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.2081, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4555, f_measure: 0.2191, kb_relative_information_score: 0.0098, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1523, predictive_accuracy: 0.3902, prior_entropy: 2.0062, recall: 0.3902, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0009, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.2461, kappa: -0.0637, kb_relative_information_score: 7.1698, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2338, predictive_accuracy: 0.3171, prior_entropy: 2.0062, recall: 0.3171, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0161, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.3371, kappa: 0.0812, kb_relative_information_score: 11.9437, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3473, predictive_accuracy: 0.3415, prior_entropy: 2.0062, recall: 0.3415, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.1036, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.3218, kappa: 0.0491, kb_relative_information_score: 10.5623, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3268, predictive_accuracy: 0.3821, prior_entropy: 2.0062, recall: 0.3821, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.2552, kappa: -0.0028, kb_relative_information_score: 3.312, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2143, predictive_accuracy: 0.3659, prior_entropy: 2.0062, recall: 0.3659, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3837, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.3218, kappa: 0.0491, kb_relative_information_score: 10.5623, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3268, predictive_accuracy: 0.3821, prior_entropy: 2.0062, recall: 0.3821, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.3218, kappa: 0.0491, kb_relative_information_score: 10.5623, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3268, predictive_accuracy: 0.3821, prior_entropy: 2.0062, recall: 0.3821, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.1988, kappa: -0.0742, kb_relative_information_score: 3.2633, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1416, predictive_accuracy: 0.3333, prior_entropy: 2.0062, recall: 0.3333, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5343, f_measure: 0.1988, kappa: -0.0742, kb_relative_information_score: 3.2633, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.1416, predictive_accuracy: 0.3333, prior_entropy: 2.0062, recall: 0.3333, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4509, f_measure: 0.2122, kappa: -0.0123, kb_relative_information_score: 2.4802, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.2379, predictive_accuracy: 0.2195, prior_entropy: 2.0062, recall: 0.2195, relative_absolute_error: 1.0926, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.2657, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.4032, kappa: 0.1604, kb_relative_information_score: 22.216, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.2872, number_of_instances: 123, precision: 0.3827, predictive_accuracy: 0.4309, prior_entropy: 2.0062, recall: 0.4309, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.3781, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.0307,

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