Task
Supervised Classification on prnn_fglass

Supervised Classification on prnn_fglass

Task 3859 Supervised Classification prnn_fglass 581 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: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6426, kappa: 0.2091, kb_relative_information_score: 25.5452, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6391, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7665, kappa: 0.4833, kb_relative_information_score: 84.5594, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7664, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.5011, kappa: -0.0186, kb_relative_information_score: 3.7137, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4137, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.7021, kappa: 0.3437, kb_relative_information_score: 55.1304, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7002, predictive_accuracy: 0.7056, prior_entropy: 0.9397, recall: 0.7056, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7461, kappa: 0.4425, kb_relative_information_score: 80.6395, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.745, predictive_accuracy: 0.7477, prior_entropy: 0.9397, recall: 0.7477, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.8185, kappa: 0.6056, kb_relative_information_score: 121.862, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8196, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.657, kappa: 0.3028, kb_relative_information_score: 20.631, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6951, predictive_accuracy: 0.6495, prior_entropy: 0.9397, recall: 0.6495, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7778, kappa: 0.5104, kb_relative_information_score: 69.763, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.777, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8369, kappa: 0.6382, kb_relative_information_score: 136.9102, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8409, predictive_accuracy: 0.8411, prior_entropy: 0.9397, recall: 0.8411, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.347, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.5649, kappa: 0.0531, kb_relative_information_score: 22.6753, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5846, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.776, kappa: 0.5044, kb_relative_information_score: 85.463, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7761, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.5872, kappa: 0.1017, kb_relative_information_score: 25.3902, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6236, predictive_accuracy: 0.6542, prior_entropy: 0.9397, recall: 0.6542, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5661, kappa: 0.0642, kb_relative_information_score: 41.3405, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.602, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.569, root_relative_squared_error: 1.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7924, kappa: 0.543, kb_relative_information_score: 84.4354, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7917, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7879, kappa: 0.5288, kb_relative_information_score: 68.1686, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7915, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7769, kappa: 0.516, kb_relative_information_score: 79.4955, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7787, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7578, kappa: 0.4612, kb_relative_information_score: 72.2132, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7615, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7692, kappa: 0.4926, kb_relative_information_score: 88.3583, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7682, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7606, kappa: 0.475, kb_relative_information_score: 87.2051, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7598, predictive_accuracy: 0.7617, prior_entropy: 0.9397, recall: 0.7617, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7967, kappa: 0.552, kb_relative_information_score: 102.5548, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7962, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.8011, kappa: 0.5611, kb_relative_information_score: 104.8051, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8008, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.5958, kappa: 0.2867, kb_relative_information_score: 18.1809, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7522, predictive_accuracy: 0.6028, prior_entropy: 0.9397, recall: 0.6028, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.1303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.5135, kappa: -0.0318, kb_relative_information_score: 10.9725, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5006, predictive_accuracy: 0.6168, prior_entropy: 0.9397, recall: 0.6168, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5011, kappa: -0.0186, kb_relative_information_score: 37.4372, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4137, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6037, root_relative_squared_error: 1.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6121, kappa: 0.3068, kb_relative_information_score: 19.0639, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7582, predictive_accuracy: 0.6168, prior_entropy: 0.9397, recall: 0.6168, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8163, kappa: 0.5961, kb_relative_information_score: 95.9797, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8158, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.5863, kappa: 0.2699, kb_relative_information_score: 11.9984, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7399, predictive_accuracy: 0.5935, prior_entropy: 0.9397, recall: 0.5935, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.1226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.6121, kappa: 0.3068, kb_relative_information_score: 19.0639, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7582, predictive_accuracy: 0.6168, prior_entropy: 0.9397, recall: 0.6168, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7846, kappa: 0.5226, kb_relative_information_score: 59.9627, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.786, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7818, kappa: 0.5275, kb_relative_information_score: 90.3755, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7842, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7279, kappa: 0.417, kb_relative_information_score: 80.3827, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7353, predictive_accuracy: 0.7243, prior_entropy: 0.9397, recall: 0.7243, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7181, kappa: 0.3938, kb_relative_information_score: 75.8621, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7238, predictive_accuracy: 0.715, prior_entropy: 0.9397, recall: 0.715, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.1156, scimark_benchmark: 1280.301, usercpu_time_millis: 1984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1968.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.751, kappa: 0.4453, kb_relative_information_score: 98.465, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7571, predictive_accuracy: 0.7617, prior_entropy: 0.9397, recall: 0.7617, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0201, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7924, kappa: 0.543, kb_relative_information_score: 100.2945, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7917, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8888, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.7021, kappa: 0.3437, kb_relative_information_score: 55.1304, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7002, predictive_accuracy: 0.7056, prior_entropy: 0.9397, recall: 0.7056, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0104, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.59, kappa: 0.0914, kb_relative_information_score: 11.8093, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.597, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.972, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7887, kappa: 0.5368, kb_relative_information_score: 93.9715, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7881, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.842, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7887, kappa: 0.5368, kb_relative_information_score: 93.9715, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7881, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.842, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.762, kappa: 0.4704, kb_relative_information_score: 69.3767, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7669, predictive_accuracy: 0.771, prior_entropy: 0.9397, recall: 0.771, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8971, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.7368, kappa: 0.4165, kb_relative_information_score: 54.8245, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7364, predictive_accuracy: 0.743, prior_entropy: 0.9397, recall: 0.743, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9192, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5232, kappa: -0.0355, kb_relative_information_score: 5.7938, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5124, predictive_accuracy: 0.6028, prior_entropy: 0.9397, recall: 0.6028, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9887, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5547, kappa: 0.0396, kb_relative_information_score: 9.0899, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.579, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9864, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5011, kappa: -0.0186, kb_relative_information_score: 37.4372, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4137, predictive_accuracy: 0.6355, prior_entropy: 0.9397, recall: 0.6355, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6037, root_relative_squared_error: 1.2616, scimark_benchmark: 954.2062, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6649, kappa: 0.2524, kb_relative_information_score: 29.2965, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6711, predictive_accuracy: 0.6869, prior_entropy: 0.9397, recall: 0.6869, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9528, scimark_benchmark: 993.8415, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.7021, kappa: 0.3437, kb_relative_information_score: 55.1304, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7002, predictive_accuracy: 0.7056, prior_entropy: 0.9397, recall: 0.7056, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0104, scimark_benchmark: 975.8744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7268, kappa: 0.4103, kb_relative_information_score: 59.703, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7308, predictive_accuracy: 0.7243, prior_entropy: 0.9397, recall: 0.7243, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9005, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,

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