Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 2 Supervised Classification anneal 5745 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • at2 basic d3m study_1 study_107 study_14 study_41 study_70 study_73 under100k
Issue #Downvotes for this reason By


Metric:

5745 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: 0.9583, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7838, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9152, kappa: 0.7913, kb_relative_information_score: 656.6472, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9152, predictive_accuracy: 0.9176, prior_entropy: 1.2149, recall: 0.9176, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.7312, kappa: 0.2843, kb_relative_information_score: 219.3339, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.721, predictive_accuracy: 0.7906, prior_entropy: 1.2149, recall: 0.7906, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8875, kappa: 0.7227, kb_relative_information_score: 594.0233, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8845, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8439, kappa: 0.6086, kb_relative_information_score: 511.3759, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8386, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.745, kappa: 0.3228, kb_relative_information_score: 226.8037, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7995, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8789, kappa: 0.7008, kb_relative_information_score: 572.3159, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8761, predictive_accuracy: 0.8853, prior_entropy: 1.2149, recall: 0.8853, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 438.7694, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9199, kappa: 0.8008, kb_relative_information_score: 691.1143, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8989, kappa: 0.7575, kb_relative_information_score: 640.3922, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8984, predictive_accuracy: 0.9009, prior_entropy: 1.2149, recall: 0.9009, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.777, kappa: 0.4379, kb_relative_information_score: 403.6195, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7725, predictive_accuracy: 0.784, prior_entropy: 1.2149, recall: 0.784, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9288, kappa: 0.8221, kb_relative_information_score: 693.0183, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9316, predictive_accuracy: 0.931, prior_entropy: 1.2149, recall: 0.931, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.6587, kb_relative_information_score: 4.1952, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7379, kappa: 0.3055, kb_relative_information_score: 218.6536, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7823, predictive_accuracy: 0.8062, prior_entropy: 1.2149, recall: 0.8062, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7423, kappa: 0.314, kb_relative_information_score: 221.2359, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7801, predictive_accuracy: 0.8051, prior_entropy: 1.2149, recall: 0.8051, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7838, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9075, kappa: 0.7778, kb_relative_information_score: 662.8863, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9051, predictive_accuracy: 0.9109, prior_entropy: 1.2149, recall: 0.9109, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9287, kappa: 0.8228, kb_relative_information_score: 720.1869, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1.2149, recall: 0.9298, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9287, kappa: 0.8228, kb_relative_information_score: 720.1869, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1.2149, recall: 0.9298, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.136, root_relative_squared_error: 0.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.752, kappa: 0.3376, kb_relative_information_score: 265.4466, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7673, predictive_accuracy: 0.804, prior_entropy: 1.2149, recall: 0.804, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9163, kappa: 0.7965, kb_relative_information_score: 674.7838, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9208, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 436.5848, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.7216, kappa: 0.2659, kb_relative_information_score: 191.0514, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7526, predictive_accuracy: 0.7996, prior_entropy: 1.2149, recall: 0.7996, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9088, kappa: 0.7808, kb_relative_information_score: 649.3071, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9066, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9194, kappa: 0.8003, kb_relative_information_score: 668.5025, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9241, predictive_accuracy: 0.9232, prior_entropy: 1.2149, recall: 0.9232, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8033, kappa: 0.4974, kb_relative_information_score: 438.7694, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8009, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9075, kappa: 0.7778, kb_relative_information_score: 662.8863, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9051, predictive_accuracy: 0.9109, prior_entropy: 1.2149, recall: 0.9109, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7637, kappa: 0.3699, kb_relative_information_score: 254.7069, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.778, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8646, kappa: 0.672, kb_relative_information_score: 563.385, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8657, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9088, kappa: 0.7808, kb_relative_information_score: 649.3071, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9066, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9199, kappa: 0.8008, kb_relative_information_score: 691.1143, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9201, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.8202, kappa: 0.5331, kb_relative_information_score: 406.2748, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8155, predictive_accuracy: 0.8374, prior_entropy: 1.2149, recall: 0.8374, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9399, kappa: 0.8502, kb_relative_information_score: 745.5171, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 1.2149, recall: 0.9399, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.852, kappa: 0.629, kb_relative_information_score: 533.26, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8465, predictive_accuracy: 0.8619, prior_entropy: 1.2149, recall: 0.8619, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7954, kappa: 0.4708, kb_relative_information_score: 419.2225, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7914, predictive_accuracy: 0.8096, prior_entropy: 1.2149, recall: 0.8096, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.7459, kappa: 0.3228, kb_relative_information_score: 264.0376, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7371, predictive_accuracy: 0.7929, prior_entropy: 1.2149, recall: 0.7929, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9168, kappa: 0.7964, kb_relative_information_score: 663.9382, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 1.2149, recall: 0.9187, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.918, kappa: 0.7998, kb_relative_information_score: 682.2406, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9226, predictive_accuracy: 0.9209, prior_entropy: 1.2149, recall: 0.9209, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7229, kappa: 0.2755, kb_relative_information_score: 226.1889, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6986, predictive_accuracy: 0.7606, prior_entropy: 1.2149, recall: 0.7606, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7379, kappa: 0.3055, kb_relative_information_score: 218.6536, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7823, predictive_accuracy: 0.8062, prior_entropy: 1.2149, recall: 0.8062, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9092, kappa: 0.7765, kb_relative_information_score: 653.9221, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9134, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.5751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7812, kappa: 0.4184, kb_relative_information_score: 381.5594, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7908, predictive_accuracy: 0.8151, prior_entropy: 1.2149, recall: 0.8151, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.777, kappa: 0.4379, kb_relative_information_score: 403.6195, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7725, predictive_accuracy: 0.784, prior_entropy: 1.2149, recall: 0.784, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8412, kappa: 0.5891, kb_relative_information_score: 441.1274, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8419, predictive_accuracy: 0.8575, prior_entropy: 1.2149, recall: 0.8575, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9103, kappa: 0.7856, kb_relative_information_score: 649.3064, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9085, predictive_accuracy: 0.9131, prior_entropy: 1.2149, recall: 0.9131, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8261, kappa: 0.5784, kb_relative_information_score: 489.9013, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8283, predictive_accuracy: 0.8263, prior_entropy: 1.2149, recall: 0.8263, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8078, kappa: 0.5057, kb_relative_information_score: 449.9479, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8116, predictive_accuracy: 0.8174, prior_entropy: 1.2149, recall: 0.8174, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9071, kappa: 0.7702, kb_relative_information_score: 643.6575, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9067, predictive_accuracy: 0.9098, prior_entropy: 1.2149, recall: 0.9098, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.6698, kappa: 0.057, kb_relative_information_score: 48.7054, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6081, predictive_accuracy: 0.7572, prior_entropy: 1.2149, recall: 0.7572, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9088, kappa: 0.7808, kb_relative_information_score: 649.3071, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9066, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8875, kappa: 0.7227, kb_relative_information_score: 594.0233, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8845, predictive_accuracy: 0.8931, prior_entropy: 1.2149, recall: 0.8931, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7372, kappa: 0.3331, kb_relative_information_score: 274.2063, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.7153, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8965, kappa: 0.7484, kb_relative_information_score: 624.5549, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8936, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8962, kappa: 0.7458, kb_relative_information_score: 630.6528, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8932, predictive_accuracy: 0.8998, prior_entropy: 1.2149, recall: 0.8998, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.878, kappa: 0.6992, kb_relative_information_score: 591.4552, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8742, predictive_accuracy: 0.882, prior_entropy: 1.2149, recall: 0.882, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.713, kappa: 0.2475, kb_relative_information_score: 169.1476, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.6455, predictive_accuracy: 0.7984, prior_entropy: 1.2149, recall: 0.7984, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8646, kappa: 0.672, kb_relative_information_score: 563.385, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8657, predictive_accuracy: 0.8653, prior_entropy: 1.2149, recall: 0.8653, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.1).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.2877, kappa: 0.2118, kb_relative_information_score: -321.9056, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8083, predictive_accuracy: 0.3385, prior_entropy: 1.2149, recall: 0.3385, relative_absolute_error: 1.6417, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9733, kappa: 0.9345, kb_relative_information_score: 807.4324, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 1.2149, recall: 0.9744, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9777, kappa: 0.9443, kb_relative_information_score: 820.7977, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9911, kappa: 0.9777, kb_relative_information_score: 857.0042, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9911, kappa: 0.9777, kb_relative_information_score: 856.0295, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 1.2149, recall: 0.9911, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 844.0174, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: 853.2603, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 0.0351, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9896, kappa: 0.9748, kb_relative_information_score: 840.2509, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.2149, recall: 0.99, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9933, kappa: 0.9833, kb_relative_information_score: -447.98, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 1.2149, recall: 0.9933, relative_absolute_error: 1.6561, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.3105, root_relative_squared_error: 1.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9921, kappa: 0.9805, kb_relative_information_score: 852.1355, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9923, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8972, kappa: 0.7537, kb_relative_information_score: 667.0652, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9071, predictive_accuracy: 0.912, prior_entropy: 1.2149, recall: 0.912, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9041, kappa: 0.7654, kb_relative_information_score: 631.3211, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9079, predictive_accuracy: 0.9065, prior_entropy: 1.2149, recall: 0.9065, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5835,

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