Task
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

13324 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: 0.9767, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 435.4386, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8721, kappa: 0.7402, kb_relative_information_score: 373.9242, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8814, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7725, kappa: 0.5379, kb_relative_information_score: 186.33, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7738, predictive_accuracy: 0.774, prior_entropy: 0.991, recall: 0.774, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8992, kappa: 0.7952, kb_relative_information_score: 379.6237, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9027, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8955, kappa: 0.7878, kb_relative_information_score: 383.804, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8969, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4533, f_measure: 0.5316, kappa: 0.0488, kb_relative_information_score: -13.3233, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5305, predictive_accuracy: 0.534, prior_entropy: 0.991, recall: 0.534, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.618, root_relative_squared_error: 1.2438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6556, kappa: 0.3024, kb_relative_information_score: 87.986, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.991, recall: 0.664, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8134, kappa: 0.6214, kb_relative_information_score: 262.6005, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8137, predictive_accuracy: 0.814, prior_entropy: 0.991, recall: 0.814, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 459.8854, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0951, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9621, kappa: 0.9234, kb_relative_information_score: 403.7657, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9631, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9481, kappa: 0.895, kb_relative_information_score: 349.5492, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9484, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.932, kappa: 0.8621, kb_relative_information_score: 374.3242, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.991, recall: 0.932, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.6118, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.916, kappa: 0.8297, kb_relative_information_score: 360.2572, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.5004, kappa: 0.1237, kb_relative_information_score: 56.0017, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7694, predictive_accuracy: 0.606, prior_entropy: 0.991, recall: 0.606, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 424.7118, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9707, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8719, kappa: 0.7405, kb_relative_information_score: 322.7389, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9441, kappa: 0.887, kb_relative_information_score: 415.3903, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9447, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 449.889, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.147, root_relative_squared_error: 0.2958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.1843, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.685, kappa: 0.3686, kb_relative_information_score: 79.058, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6909, predictive_accuracy: 0.684, prior_entropy: 0.991, recall: 0.684, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2956, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.6763, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.111, root_relative_squared_error: 0.2234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.6959, kappa: 0.3837, kb_relative_information_score: 50.2504, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7934, kappa: 0.5807, kb_relative_information_score: 237.1747, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7935, predictive_accuracy: 0.794, prior_entropy: 0.991, recall: 0.794, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7837, kappa: 0.5613, kb_relative_information_score: 221.4381, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7836, predictive_accuracy: 0.784, prior_entropy: 0.991, recall: 0.784, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 430.4322, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.6959, kappa: 0.3823, kb_relative_information_score: 124.8849, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6926, kappa: 0.379, kb_relative_information_score: 103.766, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6937, predictive_accuracy: 0.692, prior_entropy: 0.991, recall: 0.692, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9259, kappa: 0.8498, kb_relative_information_score: 371.9818, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 0.991, recall: 0.926, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7564, kappa: 0.5054, kb_relative_information_score: 174.6548, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7621, predictive_accuracy: 0.76, prior_entropy: 0.991, recall: 0.76, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8741, kappa: 0.7454, kb_relative_information_score: 311.0902, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8744, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 436.8156, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7959, kappa: 0.5854, kb_relative_information_score: 228.4663, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7995, predictive_accuracy: 0.798, prior_entropy: 0.991, recall: 0.798, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7115, kappa: 0.4142, kb_relative_information_score: 123.9718, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7165, predictive_accuracy: 0.716, prior_entropy: 0.991, recall: 0.716, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.7099, kappa: 0.4124, kb_relative_information_score: 155.0369, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7099, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.7767, kappa: 0.5465, kb_relative_information_score: 183.9628, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7777, predictive_accuracy: 0.778, prior_entropy: 0.991, recall: 0.778, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8176, kappa: 0.6299, kb_relative_information_score: 260.4609, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8177, predictive_accuracy: 0.818, prior_entropy: 0.991, recall: 0.818, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.0298, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6579, kappa: 0.3317, kb_relative_information_score: 83.0454, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7289, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.6609, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.928, kappa: 0.8542, kb_relative_information_score: 389.925, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.928, predictive_accuracy: 0.928, prior_entropy: 0.991, recall: 0.928, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.5399, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.6997, kappa: 0.3913, kb_relative_information_score: 106.6687, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6995, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.3397, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7891, kappa: 0.5717, kb_relative_information_score: 199.3152, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7949, predictive_accuracy: 0.792, prior_entropy: 0.991, recall: 0.792, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7046, kappa: 0.3999, kb_relative_information_score: 126.261, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7072, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.6959, kappa: 0.3837, kb_relative_information_score: 125.8424, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6957, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2579, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.5932, kappa: 0.1741, kb_relative_information_score: 58.3772, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5949, predictive_accuracy: 0.6, prior_entropy: 0.991, recall: 0.6, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0435, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9481, kappa: 0.895, kb_relative_information_score: 402.8738, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9484, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6253, kappa: 0.2401, kb_relative_information_score: 59.6348, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6249, predictive_accuracy: 0.626, prior_entropy: 0.991, recall: 0.626, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.5042, kappa: 0.1285, kb_relative_information_score: 60.4395, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7701, predictive_accuracy: 0.608, prior_entropy: 0.991, recall: 0.608, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.0071, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7007, kappa: 0.3962, kb_relative_information_score: 121.5116, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7025, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.7955, kappa: 0.5849, kb_relative_information_score: 227.1781, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7955, predictive_accuracy: 0.796, prior_entropy: 0.991, recall: 0.796, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.934, kappa: 0.8665, kb_relative_information_score: 378.1681, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9342, predictive_accuracy: 0.934, prior_entropy: 0.991, recall: 0.934, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.4128, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 380.1959, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.991, recall: 0.93, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.4957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9741, kappa: 0.9476, kb_relative_information_score: 437.8141, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9751, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9481, kappa: 0.895, kb_relative_information_score: 407.5197, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9484, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.633, kappa: 0.2607, kb_relative_information_score: 55.9801, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6357, predictive_accuracy: 0.632, prior_entropy: 0.991, recall: 0.632, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7283, kappa: 0.4506, kb_relative_information_score: 166.2996, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7289, predictive_accuracy: 0.728, prior_entropy: 0.991, recall: 0.728, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.7019, kappa: 0.3962, kb_relative_information_score: 126.1291, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7019, predictive_accuracy: 0.702, prior_entropy: 0.991, recall: 0.702, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.591, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.6738, kappa: 0.3388, kb_relative_information_score: 46.0742, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6736, predictive_accuracy: 0.674, prior_entropy: 0.991, recall: 0.674, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7255, kappa: 0.4428, kb_relative_information_score: 151.2673, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7313, predictive_accuracy: 0.73, prior_entropy: 0.991, recall: 0.73, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.1773, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2506, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, f_measure: 0.6787, kappa: 0.3656, kb_relative_information_score: 150.4895, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7341, predictive_accuracy: 0.702, prior_entropy: 0.991, recall: 0.702, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9021, kappa: 0.8021, kb_relative_information_score: 336.4598, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9026, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.948, kappa: 0.8947, kb_relative_information_score: 391.8497, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.948, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.227, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8869, kappa: 0.7702, kb_relative_information_score: 369.1735, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8916, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5791,

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