OpenML
Supervised Classification on LED-display-domain-7digit

Supervised Classification on LED-display-domain-7digit

Task 125921 Supervised Classification LED-display-domain-7digit 13128 runs submitted
0 likes downloaded by 4 people , 7 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_50
Issue #Downvotes for this reason By


Metric:

13128 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6947, kappa: 0.6617, kb_relative_information_score: 0.6819, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 3.3123, recall: 0.696, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1251, kb_relative_information_score: 0.1798, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.224, prior_entropy: 3.3123, recall: 0.224, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.394, root_relative_squared_error: 1.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.4902, kappa: 0.4081, kb_relative_information_score: 0.4453, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.5769, predictive_accuracy: 0.468, prior_entropy: 3.3123, recall: 0.468, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3262, root_relative_squared_error: 1.0881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, kappa: 0.0498, kb_relative_information_score: 0.1117, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.158, prior_entropy: 3.3123, recall: 0.158, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.3689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.152, prior_entropy: 3.3123, recall: 0.152, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, kappa: 0.2507, kb_relative_information_score: 0.2888, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.328, prior_entropy: 3.3123, recall: 0.328, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6947, kappa: 0.6617, kb_relative_information_score: 0.6819, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 3.3123, recall: 0.696, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5585, kappa: 0.479, kb_relative_information_score: 0.5111, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6533, predictive_accuracy: 0.53, prior_entropy: 3.3123, recall: 0.53, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.5585, kappa: 0.479, kb_relative_information_score: 0.5111, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6533, predictive_accuracy: 0.53, prior_entropy: 3.3123, recall: 0.53, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7238, kappa: 0.6931, kb_relative_information_score: 0.7122, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7308, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7278, kappa: 0.6974, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7305, predictive_accuracy: 0.728, prior_entropy: 3.3123, recall: 0.728, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7291, kappa: 0.6975, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7378, predictive_accuracy: 0.728, prior_entropy: 3.3123, recall: 0.728, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7235, kappa: 0.693, kb_relative_information_score: 0.7121, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, kappa: 0.4823, kb_relative_information_score: 0.5045, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.538, prior_entropy: 3.3123, recall: 0.538, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.304, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.6881, kappa: 0.6506, kb_relative_information_score: 0.6712, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7007, predictive_accuracy: 0.686, prior_entropy: 3.3123, recall: 0.686, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.71, kappa: 0.6774, kb_relative_information_score: 0.6968, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.712, predictive_accuracy: 0.71, prior_entropy: 3.3123, recall: 0.71, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, kappa: 0.4863, kb_relative_information_score: 0.5077, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.542, prior_entropy: 3.3123, recall: 0.542, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7122, kappa: 0.6796, kb_relative_information_score: 0.6989, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.714, predictive_accuracy: 0.712, prior_entropy: 3.3123, recall: 0.712, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.24, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.152, prior_entropy: 3.3123, recall: 0.152, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1251, kb_relative_information_score: 0.1798, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.224, prior_entropy: 3.3123, recall: 0.224, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.394, root_relative_squared_error: 1.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7228, kappa: 0.693, kb_relative_information_score: 0.7119, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7255, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.5232, kappa: 0.4558, kb_relative_information_score: 0.4886, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6216, predictive_accuracy: 0.51, prior_entropy: 3.3123, recall: 0.51, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.313, root_relative_squared_error: 1.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, kappa: 0.4954, kb_relative_information_score: 0.5164, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.55, prior_entropy: 3.3123, recall: 0.55, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.152, prior_entropy: 3.3123, recall: 0.152, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.6767, kappa: 0.6305, kb_relative_information_score: 0.6534, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7022, predictive_accuracy: 0.668, prior_entropy: 3.3123, recall: 0.668, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7231, kappa: 0.693, kb_relative_information_score: 0.7118, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.726, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, kappa: 0.4772, kb_relative_information_score: 0.4988, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.534, prior_entropy: 3.3123, recall: 0.534, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3053, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, kappa: 0.4772, kb_relative_information_score: 0.4988, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.534, prior_entropy: 3.3123, recall: 0.534, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3053, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7274, kappa: 0.6974, kb_relative_information_score: 0.7158, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7311, predictive_accuracy: 0.728, prior_entropy: 3.3123, recall: 0.728, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7046, kappa: 0.673, kb_relative_information_score: 0.6931, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7062, predictive_accuracy: 0.706, prior_entropy: 3.3123, recall: 0.706, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.8089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7235, kappa: 0.693, kb_relative_information_score: 0.7121, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1251, kb_relative_information_score: 0.1798, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.224, prior_entropy: 3.3123, recall: 0.224, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.394, root_relative_squared_error: 1.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, kappa: 0.4846, kb_relative_information_score: 0.5065, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.54, prior_entropy: 3.3123, recall: 0.54, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7172, kappa: 0.6864, kb_relative_information_score: 0.7054, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.724, predictive_accuracy: 0.718, prior_entropy: 3.3123, recall: 0.718, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1251, kb_relative_information_score: 0.1798, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.224, prior_entropy: 3.3123, recall: 0.224, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.394, root_relative_squared_error: 1.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7217, kappa: 0.6908, kb_relative_information_score: 0.7099, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7276, predictive_accuracy: 0.722, prior_entropy: 3.3123, recall: 0.722, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, kappa: 0.4954, kb_relative_information_score: 0.5164, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.55, prior_entropy: 3.3123, recall: 0.55, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7228, kappa: 0.693, kb_relative_information_score: 0.7119, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7255, predictive_accuracy: 0.724, prior_entropy: 3.3123, recall: 0.724, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, kappa: 0.1251, kb_relative_information_score: 0.1798, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.224, prior_entropy: 3.3123, recall: 0.224, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.394, root_relative_squared_error: 1.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, kappa: 0.0316, kb_relative_information_score: 0.0954, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.142, prior_entropy: 3.3123, recall: 0.142, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4142, root_relative_squared_error: 1.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.722, kappa: 0.6909, kb_relative_information_score: 0.7096, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7279, predictive_accuracy: 0.722, prior_entropy: 3.3123, recall: 0.722, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7292, kappa: 0.6996, kb_relative_information_score: 0.7178, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7324, predictive_accuracy: 0.73, prior_entropy: 3.3123, recall: 0.73, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7291, kappa: 0.6975, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7378, predictive_accuracy: 0.728, prior_entropy: 3.3123, recall: 0.728, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7085, kappa: 0.6775, kb_relative_information_score: 0.6977, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7105, predictive_accuracy: 0.71, prior_entropy: 3.3123, recall: 0.71, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7315, kappa: 0.7019, kb_relative_information_score: 0.7202, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.734, predictive_accuracy: 0.732, prior_entropy: 3.3123, recall: 0.732, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7214, kappa: 0.6908, kb_relative_information_score: 0.7096, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7274, predictive_accuracy: 0.722, prior_entropy: 3.3123, recall: 0.722, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.152, prior_entropy: 3.3123, recall: 0.152, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7198, kappa: 0.6886, kb_relative_information_score: 0.7077, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7264, predictive_accuracy: 0.72, prior_entropy: 3.3123, recall: 0.72, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.3884, kappa: 0.253, kb_relative_information_score: 0.2878, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.5241, predictive_accuracy: 0.324, prior_entropy: 3.3123, recall: 0.324, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3677, root_relative_squared_error: 1.2265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7291, kappa: 0.6975, kb_relative_information_score: 0.7161, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7378, predictive_accuracy: 0.728, prior_entropy: 3.3123, recall: 0.728, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.717, kappa: 0.6863, kb_relative_information_score: 0.7055, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7216, predictive_accuracy: 0.718, prior_entropy: 3.3123, recall: 0.718, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7297, kappa: 0.6997, kb_relative_information_score: 0.718, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7336, predictive_accuracy: 0.73, prior_entropy: 3.3123, recall: 0.73, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 0.1074, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.152, prior_entropy: 3.3123, recall: 0.152, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7107, kappa: 0.6774, kb_relative_information_score: 0.6969, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7131, predictive_accuracy: 0.71, prior_entropy: 3.3123, recall: 0.71, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7146, kappa: 0.6842, kb_relative_information_score: 0.7036, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7175, predictive_accuracy: 0.716, prior_entropy: 3.3123, recall: 0.716, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6948, kappa: 0.6617, kb_relative_information_score: 0.6816, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6956, predictive_accuracy: 0.696, prior_entropy: 3.3123, recall: 0.696, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7251, kappa: 0.6952, kb_relative_information_score: 0.7139, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.728, predictive_accuracy: 0.726, prior_entropy: 3.3123, recall: 0.726, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.6877, kappa: 0.6531, kb_relative_information_score: 0.6749, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6922, predictive_accuracy: 0.688, prior_entropy: 3.3123, recall: 0.688, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, kappa: 0.0339, kb_relative_information_score: 0.0974, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.144, prior_entropy: 3.3123, recall: 0.144, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7193, kappa: 0.6886, kb_relative_information_score: 0.7079, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.7257, predictive_accuracy: 0.72, prior_entropy: 3.3123, recall: 0.72, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, kappa: 0.2252, kb_relative_information_score: 0.2692, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.312, prior_entropy: 3.3123, recall: 0.312, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.6875, kappa: 0.6531, kb_relative_information_score: 0.6748, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6921, predictive_accuracy: 0.688, prior_entropy: 3.3123, recall: 0.688, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.6875, kappa: 0.6531, kb_relative_information_score: 0.6748, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.6921, predictive_accuracy: 0.688, prior_entropy: 3.3123, recall: 0.688, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, kappa: 0.1646, kb_relative_information_score: 0.2094, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.25, prior_entropy: 3.3123, recall: 0.25, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.2919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 7.9933, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.094, prior_entropy: 3.3127, recall: 0.094, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, kb_relative_information_score: 7.4739, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.114, prior_entropy: 3.3127, recall: 0.114, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.448, kb_relative_information_score: 7.9538, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.106, prior_entropy: 3.3127, recall: 0.106, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, kb_relative_information_score: 7.429, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.114, prior_entropy: 3.3127, recall: 0.114, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kb_relative_information_score: 10.9955, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kb_relative_information_score: 7.2185, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.106, prior_entropy: 3.3127, recall: 0.106, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0067, kb_relative_information_score: 6.8215, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.116, prior_entropy: 3.3127, recall: 0.116, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4779, f_measure: 0.0836, kappa: -0.0146, kb_relative_information_score: 42.7163, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.0826, predictive_accuracy: 0.086, prior_entropy: 3.3127, recall: 0.086, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.5334, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, kb_relative_information_score: 8.2675, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.094, prior_entropy: 3.3127, recall: 0.094, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.449, kb_relative_information_score: 7.3797, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, kappa: 0.0628, kb_relative_information_score: 9.9144, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.158, prior_entropy: 3.3127, recall: 0.158, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kappa: -0.002, kb_relative_information_score: 16.6189, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.098, prior_entropy: 3.3127, recall: 0.098, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3008, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.004, kb_relative_information_score: 7.8363, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.112, prior_entropy: 3.3127, recall: 0.112, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 11.1583, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.114, prior_entropy: 3.3127, recall: 0.114, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.455, f_measure: 0.0653, kappa: -0.0491, kb_relative_information_score: 10.7549, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.0843, predictive_accuracy: 0.056, prior_entropy: 3.3127, recall: 0.056, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3015, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0936, kappa: -0.0081, kb_relative_information_score: 38.6265, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.0936, predictive_accuracy: 0.094, prior_entropy: 3.3127, recall: 0.094, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3181, root_relative_squared_error: 1.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, kb_relative_information_score: 14.6303, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3004, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: 9.3324, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.114, prior_entropy: 3.3127, recall: 0.114, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.0775, kappa: -0.0349, kb_relative_information_score: 17.5252, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1797, number_of_instances: 500, precision: 0.1827, predictive_accuracy: 0.07, prior_entropy: 3.3127, recall: 0.07, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3044, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.4576, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.304, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: 6.3737, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.104, prior_entropy: 3.3127, recall: 0.104, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4682, kb_relative_information_score: 7.5585, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.098, prior_entropy: 3.3127, recall: 0.098, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, kb_relative_information_score: 7.5065, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.1797, number_of_instances: 500, predictive_accuracy: 0.106, prior_entropy: 3.3127, recall: 0.106, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2998, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0008,

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