Task
Supervised Classification on visualizing_environmental

Supervised Classification on visualizing_environmental

Task 3602 Supervised Classification visualizing_environmental 989 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6676, kappa: 0.3604, kb_relative_information_score: 26.269, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7069, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 31.706, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.6744, kappa: 0.3553, kb_relative_information_score: 22.202, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6842, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6214, kappa: 0.2454, kb_relative_information_score: 26.7566, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6249, predictive_accuracy: 0.6216, prior_entropy: 0.9986, recall: 0.6216, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6847, kappa: 0.3706, kb_relative_information_score: 20.2217, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6875, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 26.2713, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.6905, kappa: 0.3931, kb_relative_information_score: 24.3305, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7102, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.682, kappa: 0.3747, kb_relative_information_score: 25.436, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6986, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.6905, kappa: 0.3931, kb_relative_information_score: 35.98, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7102, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 31.188, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.3662, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.6286, kappa: 0.2663, kb_relative_information_score: 14.3815, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6393, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 26.9984, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6905, kappa: 0.3931, kb_relative_information_score: 24.2645, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7102, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 26.9262, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.7213, kappa: 0.4679, kb_relative_information_score: 35.2369, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7764, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6306, kappa: 0.2628, kb_relative_information_score: 23.3187, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6332, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6794, kappa: 0.3767, kb_relative_information_score: 36.9958, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.708, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6359, kappa: 0.2859, kb_relative_information_score: 16.6313, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6532, predictive_accuracy: 0.6396, prior_entropy: 0.9986, recall: 0.6396, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6861, kappa: 0.396, kb_relative_information_score: 40.7344, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7271, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6778, kappa: 0.3777, kb_relative_information_score: 25.7841, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7138, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.6916, kappa: 0.3921, kb_relative_information_score: 22.3734, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7061, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.3587, kb_relative_information_score: -0.0932, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.6286, kappa: 0.2663, kb_relative_information_score: 13.728, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6393, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6488, kappa: 0.2976, kb_relative_information_score: 24.3959, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6499, predictive_accuracy: 0.6486, prior_entropy: 0.9986, recall: 0.6486, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.7292, kappa: 0.4619, kb_relative_information_score: 35.7373, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7363, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.6778, kappa: 0.3777, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7138, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 28.1299, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.207, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.6626, kappa: 0.34, kb_relative_information_score: 27.0093, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6838, predictive_accuracy: 0.6667, prior_entropy: 0.9986, recall: 0.6667, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.6861, kappa: 0.396, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7271, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.2348, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 28.1299, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.3562, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7119, kappa: 0.4232, kb_relative_information_score: 29.4563, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6902, kappa: 0.4161, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7591, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6398, kappa: 0.2802, kb_relative_information_score: 21.8992, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6415, predictive_accuracy: 0.6396, prior_entropy: 0.9986, recall: 0.6396, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.2348, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4268, f_measure: 0.3587, kb_relative_information_score: -2.0044, mean_absolute_error: 0.5071, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6573, kappa: 0.3128, kb_relative_information_score: 24.086, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6573, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.6037, kappa: 0.2082, kb_relative_information_score: 22.7453, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6054, predictive_accuracy: 0.6036, prior_entropy: 0.9986, recall: 0.6036, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3587, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.4344, kappa: 0.0786, kb_relative_information_score: 12.717, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7607, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3587, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, scimark_benchmark: 1375.2148, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 31.188, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8802, scimark_benchmark: 1011.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.6931, kappa: 0.3901, kb_relative_information_score: 26.1934, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6998, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9236, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7274, kappa: 0.4548, kb_relative_information_score: 44.0612, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7329, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9349, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.568, kappa: 0.1707, kb_relative_information_score: 16.6006, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6091, predictive_accuracy: 0.5946, prior_entropy: 0.9986, recall: 0.5946, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1047, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6577, kappa: 0.3139, kb_relative_information_score: 18.9599, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9485, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6931, kappa: 0.3901, kb_relative_information_score: 29.0447, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6998, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9494, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.6286, kappa: 0.2663, kb_relative_information_score: 13.728, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6393, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0332, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7116, kappa: 0.4251, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7156, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.014, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7116, kappa: 0.4251, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7156, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7076, kappa: 0.4297, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7344, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.678, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6305, kappa: 0.2592, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6304, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916,

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