Task
Supervised Classification on fri_c1_250_5

Supervised Classification on fri_c1_250_5

Task 3596 Supervised Classification fri_c1_250_5 637 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: 0.7555, f_measure: 0.7103, kappa: 0.4195, kb_relative_information_score: 66.9915, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7131, predictive_accuracy: 0.712, prior_entropy: 0.9984, recall: 0.712, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8916, kappa: 0.7826, kb_relative_information_score: 174.2255, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8946, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6857, kappa: 0.3707, kb_relative_information_score: 62.8542, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6892, predictive_accuracy: 0.688, prior_entropy: 0.9984, recall: 0.688, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.892, kappa: 0.7836, kb_relative_information_score: 184.909, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7107, kappa: 0.42, kb_relative_information_score: 65.3348, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 0.9984, recall: 0.712, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8401, kappa: 0.68, kb_relative_information_score: 165.3581, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8412, predictive_accuracy: 0.84, prior_entropy: 0.9984, recall: 0.84, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9159, kappa: 0.8314, kb_relative_information_score: 209.2197, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.9161, predictive_accuracy: 0.916, prior_entropy: 0.9984, recall: 0.916, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7103, kappa: 0.4195, kb_relative_information_score: 81.6503, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7131, predictive_accuracy: 0.712, prior_entropy: 0.9984, recall: 0.712, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9041, kappa: 0.808, kb_relative_information_score: 182.0637, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.9052, predictive_accuracy: 0.904, prior_entropy: 0.9984, recall: 0.904, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.711, kappa: 0.4204, kb_relative_information_score: 59.4021, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7123, predictive_accuracy: 0.712, prior_entropy: 0.9984, recall: 0.712, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 178.9866, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8802, predictive_accuracy: 0.88, prior_entropy: 0.9984, recall: 0.88, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7621, kappa: 0.5238, kb_relative_information_score: 50.6367, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7675, predictive_accuracy: 0.764, prior_entropy: 0.9984, recall: 0.764, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8678, kappa: 0.7349, kb_relative_information_score: 154.6438, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8683, predictive_accuracy: 0.868, prior_entropy: 0.9984, recall: 0.868, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.6513, kappa: 0.3005, kb_relative_information_score: 79.5091, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6515, predictive_accuracy: 0.652, prior_entropy: 0.9984, recall: 0.652, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8839, kappa: 0.7672, kb_relative_information_score: 177.8794, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9984, recall: 0.884, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8717, kappa: 0.7426, kb_relative_information_score: 129.3861, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8731, predictive_accuracy: 0.872, prior_entropy: 0.9984, recall: 0.872, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.3603, kb_relative_information_score: -0.0257, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.2746, predictive_accuracy: 0.524, prior_entropy: 0.9984, recall: 0.524, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.856, kappa: 0.7116, kb_relative_information_score: 154.6934, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9984, recall: 0.856, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.844, kappa: 0.6874, kb_relative_information_score: 161.667, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 0.9984, recall: 0.844, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8881, kappa: 0.7762, kb_relative_information_score: 178.0844, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8899, predictive_accuracy: 0.888, prior_entropy: 0.9984, recall: 0.888, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7065, kappa: 0.4117, kb_relative_information_score: 65.2703, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 0.9984, recall: 0.708, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8921, kappa: 0.7839, kb_relative_information_score: 185.9623, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8928, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7065, kappa: 0.4117, kb_relative_information_score: 65.2703, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 0.9984, recall: 0.708, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6797, kappa: 0.3575, kb_relative_information_score: 66.3206, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6797, predictive_accuracy: 0.68, prior_entropy: 0.9984, recall: 0.68, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6794, kappa: 0.357, kb_relative_information_score: 89.4688, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6797, predictive_accuracy: 0.68, prior_entropy: 0.9984, recall: 0.68, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.69, kappa: 0.379, kb_relative_information_score: 62.7239, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.693, predictive_accuracy: 0.692, prior_entropy: 0.9984, recall: 0.692, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8959, kappa: 0.7912, kb_relative_information_score: 166.2261, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9984, recall: 0.896, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6401, kappa: 0.2789, kb_relative_information_score: 69.4032, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6403, predictive_accuracy: 0.64, prior_entropy: 0.9984, recall: 0.64, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8921, kappa: 0.7839, kb_relative_information_score: 185.9623, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8928, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7669, kappa: 0.5328, kb_relative_information_score: 133.613, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7694, predictive_accuracy: 0.768, prior_entropy: 0.9984, recall: 0.768, relative_absolute_error: 0.4651, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8836, kappa: 0.7667, kb_relative_information_score: 178.728, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8856, predictive_accuracy: 0.884, prior_entropy: 0.9984, recall: 0.884, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.7065, kappa: 0.4117, kb_relative_information_score: 65.2703, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7088, predictive_accuracy: 0.708, prior_entropy: 0.9984, recall: 0.708, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.816, kappa: 0.6328, kb_relative_information_score: 157.6918, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8198, predictive_accuracy: 0.816, prior_entropy: 0.9984, recall: 0.816, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.884, kappa: 0.7676, kb_relative_information_score: 168.994, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9984, recall: 0.884, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.892, kappa: 0.7838, kb_relative_information_score: 166.7634, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8641, kappa: 0.7278, kb_relative_information_score: 181.7705, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8646, predictive_accuracy: 0.864, prior_entropy: 0.9984, recall: 0.864, relative_absolute_error: 0.2726, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5601, kappa: 0.1186, kb_relative_information_score: 29.272, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.5604, predictive_accuracy: 0.56, prior_entropy: 0.9984, recall: 0.56, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3282, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8841, kappa: 0.7677, kb_relative_information_score: 191.8032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8844, predictive_accuracy: 0.884, prior_entropy: 0.9984, recall: 0.884, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.682, scimark_benchmark: 1862.8608,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8841, kappa: 0.7677, kb_relative_information_score: 191.8032, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8844, predictive_accuracy: 0.884, prior_entropy: 0.9984, recall: 0.884, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.682, scimark_benchmark: 1392.342, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6794, kappa: 0.357, kb_relative_information_score: 89.4688, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6797, predictive_accuracy: 0.68, prior_entropy: 0.9984, recall: 0.68, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1327, scimark_benchmark: 1291.6444, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.892, kappa: 0.7836, kb_relative_information_score: 184.909, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9984, recall: 0.892, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6296, scimark_benchmark: 1312.5196, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.864, kappa: 0.7286, kb_relative_information_score: 162.8881, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.864, prior_entropy: 0.9984, recall: 0.864, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5815, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8637, kappa: 0.7295, kb_relative_information_score: 186.1802, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8745, predictive_accuracy: 0.864, prior_entropy: 0.9984, recall: 0.864, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5966, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8063, kappa: 0.6195, kb_relative_information_score: 163.1702, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8287, predictive_accuracy: 0.808, prior_entropy: 0.9984, recall: 0.808, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.687, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.852, kappa: 0.7046, kb_relative_information_score: 140.126, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8554, predictive_accuracy: 0.852, prior_entropy: 0.9984, recall: 0.852, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6463, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8681, kappa: 0.7359, kb_relative_information_score: 172.9106, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9984, recall: 0.868, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5719, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.856, kappa: 0.7116, kb_relative_information_score: 154.6934, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9984, recall: 0.856, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6347, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6476, kappa: 0.2933, kb_relative_information_score: 73.4163, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6476, predictive_accuracy: 0.648, prior_entropy: 0.9984, recall: 0.648, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.188, 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: 0.6453, f_measure: 0.6468, kappa: 0.2916, kb_relative_information_score: 73.4163, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.6476, predictive_accuracy: 0.648, prior_entropy: 0.9984, recall: 0.648, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.188, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8596, kappa: 0.7184, kb_relative_information_score: 156.6794, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8614, predictive_accuracy: 0.86, prior_entropy: 0.9984, recall: 0.86, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7041, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7637, kappa: 0.526, kb_relative_information_score: 131.6065, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.764, predictive_accuracy: 0.764, prior_entropy: 0.9984, recall: 0.764, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8437, kappa: 0.6864, kb_relative_information_score: 152.3213, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.8447, predictive_accuracy: 0.844, prior_entropy: 0.9984, recall: 0.844, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7312, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7232, kappa: 0.4448, kb_relative_information_score: 56.7373, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7242, predictive_accuracy: 0.724, prior_entropy: 0.9984, recall: 0.724, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9282, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7107, kappa: 0.42, kb_relative_information_score: 65.3348, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 0.9984, recall: 0.712, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.8994, scimark_benchmark: 1732.2066,

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