Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 387155 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 99.1487, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7465, kappa: 0.2546, kb_relative_information_score: 69.3709, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7448, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.7523, kappa: 0.2729, kb_relative_information_score: 104.7176, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.751, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.729, kappa: 0.2107, kb_relative_information_score: 98.9932, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7207, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 99.1487, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7662, kappa: 0.3139, kb_relative_information_score: 112.0779, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7675, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.7215, kappa: 0.1957, kb_relative_information_score: 61.172, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7122, predictive_accuracy: 0.7393, prior_entropy: 0.7928, recall: 0.7393, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4709, root_relative_squared_error: 1.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.7185, kappa: 0.206, kb_relative_information_score: 54.9894, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7127, predictive_accuracy: 0.7259, prior_entropy: 0.7928, recall: 0.7259, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.7413, kappa: 0.2414, kb_relative_information_score: 95.8437, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7538, kappa: 0.2801, kb_relative_information_score: 107.1653, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7508, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.416, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 105.0637, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.7484, kappa: 0.2608, kb_relative_information_score: 104.9334, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7469, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7644, kappa: 0.3159, kb_relative_information_score: 96.8732, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7675, kappa: 0.3164, kb_relative_information_score: 120.9121, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7555, kappa: 0.2866, kb_relative_information_score: 78.4587, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7627, kappa: 0.306, kb_relative_information_score: 109.0845, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7612, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7645, kappa: 0.3076, kb_relative_information_score: 111.9656, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7671, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7621, kappa: 0.3024, kb_relative_information_score: 113.5684, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7622, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 117.7328, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.7472, kappa: 0.2588, kb_relative_information_score: 101.2308, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7442, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7665, kappa: 0.3248, kb_relative_information_score: 97.1235, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7621, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.7707, kappa: 0.3288, kb_relative_information_score: 111.2639, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7715, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7737, kappa: 0.344, kb_relative_information_score: 105.4534, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7707, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 116.954, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.7269, kappa: 0.2194, kb_relative_information_score: 70.4137, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7191, predictive_accuracy: 0.7393, prior_entropy: 0.7928, recall: 0.7393, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5641, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7495, kappa: 0.2635, kb_relative_information_score: 107.0028, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7485, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7675, kappa: 0.3164, kb_relative_information_score: 120.9121, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.7194, kappa: 0.191, kb_relative_information_score: 64.4489, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.71, predictive_accuracy: 0.7366, prior_entropy: 0.7928, recall: 0.7366, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.7054, kappa: 0.1762, kb_relative_information_score: 38.2182, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7014, predictive_accuracy: 0.7099, prior_entropy: 0.7928, recall: 0.7099, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.76, kappa: 0.2969, kb_relative_information_score: 105.749, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7589, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 81.2681, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.721, kappa: 0.2044, kb_relative_information_score: 61.7994, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7132, predictive_accuracy: 0.7326, prior_entropy: 0.7928, recall: 0.7326, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7675, kappa: 0.3164, kb_relative_information_score: 120.9121, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7621, kappa: 0.3024, kb_relative_information_score: 113.5684, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7622, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7675, kappa: 0.3164, kb_relative_information_score: 120.9121, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.721, kappa: 0.2044, kb_relative_information_score: 61.7994, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7132, predictive_accuracy: 0.7326, prior_entropy: 0.7928, recall: 0.7326, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 101.599, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 107.2404, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7357, kappa: 0.2311, kb_relative_information_score: 103.3136, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7282, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.7048, kappa: 0.1729, kb_relative_information_score: 36.1391, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7003, predictive_accuracy: 0.7099, prior_entropy: 0.7928, recall: 0.7099, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.2086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7716, kappa: 0.3385, kb_relative_information_score: 101.8821, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7669, kappa: 0.321, kb_relative_information_score: 102.2935, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7643, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7716, kappa: 0.3385, kb_relative_information_score: 101.8821, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.768, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.7353, kappa: 0.2239, kb_relative_information_score: 105.6321, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7298, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 115.266, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7563, kappa: 0.2897, kb_relative_information_score: 103.0445, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7523, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7645, kappa: 0.3076, kb_relative_information_score: 111.6778, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7671, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.7707, kappa: 0.3288, kb_relative_information_score: 111.2639, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7715, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7687, kappa: 0.3302, kb_relative_information_score: 98.4753, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7647, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7636, kappa: 0.3044, kb_relative_information_score: 117.8867, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.767, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 99.1487, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7675, kappa: 0.3164, kb_relative_information_score: 114.1392, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7708, predictive_accuracy: 0.7928, prior_entropy: 0.7928, recall: 0.7928, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.7727, kappa: 0.338, kb_relative_information_score: 99.9108, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.771, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7741, kappa: 0.3438, kb_relative_information_score: 100.5058, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7718, predictive_accuracy: 0.7914, prior_entropy: 0.7928, recall: 0.7914, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7581, kappa: 0.2909, kb_relative_information_score: 105.2728, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.757, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9342,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs