OpenML
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: 0.992, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 470.4643, mean_absolute_error: 0.0331, 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: 0.0671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 467.8171, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2549,
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: 0.9838, f_measure: 0.9401, kappa: 0.8787, kb_relative_information_score: 419.5104, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 0.991, recall: 0.94, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4031,
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: 0.5632, kb_relative_information_score: -0.0037, mean_absolute_error: 0.4937, 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: 0.8983, f_measure: 0.7984, kappa: 0.5905, kb_relative_information_score: 264.2537, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8006, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.723, kappa: 0.4379, kb_relative_information_score: 146.2119, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7299, predictive_accuracy: 0.728, prior_entropy: 0.991, recall: 0.728, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8471,
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: 0.8108, kappa: 0.6157, kb_relative_information_score: 282.0686, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8123, predictive_accuracy: 0.812, prior_entropy: 0.991, recall: 0.812, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7342,
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: 0.9772, f_measure: 0.966, kappa: 0.9313, kb_relative_information_score: 390.1884, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9663, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.704, kappa: 0.3988, kb_relative_information_score: 113.0535, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8889, kappa: 0.7742, kb_relative_information_score: 372.4622, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5574,
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: 0.9868, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 468.9708, mean_absolute_error: 0.0359, 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: 0.0727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2472,
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: 0.624, f_measure: 0.5004, kappa: 0.1237, kb_relative_information_score: 51.1551, mean_absolute_error: 0.4445, 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: 0.9002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.2686, mean_absolute_error: 0.0302, 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: 0.0612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9058, kappa: 0.809, kb_relative_information_score: 346.212, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.991, recall: 0.906, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, kb_relative_information_score: 0.0235, mean_absolute_error: 0.4937, 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: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.6565, kappa: 0.3486, kb_relative_information_score: 116.6182, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7995, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 398.837, mean_absolute_error: 0.1111, 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: 0.2249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4231,
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: 0.6687, kb_relative_information_score: 26.1594, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9739,
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: 0.7623, f_measure: 0.6949, kappa: 0.3806, kb_relative_information_score: 107.0624, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8014, kappa: 0.597, kb_relative_information_score: 234.5617, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8016, predictive_accuracy: 0.802, prior_entropy: 0.991, recall: 0.802, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 463.1171, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7049, kappa: 0.4004, kb_relative_information_score: 122.642, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.952, kappa: 0.9026, kb_relative_information_score: 411.3085, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.991, recall: 0.952, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, kb_relative_information_score: 26.5231, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7398, kappa: 0.4729, kb_relative_information_score: 201.271, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7516, predictive_accuracy: 0.746, prior_entropy: 0.991, recall: 0.746, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.6265, mean_absolute_error: 0.0296, 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: 0.0599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7095, kappa: 0.4108, kb_relative_information_score: 134.6023, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7092, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.866, kappa: 0.728, kb_relative_information_score: 363.8968, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8747, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 449.5695, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.153, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.3174, mean_absolute_error: 0.0299, 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: 0.0605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9099, kappa: 0.8173, kb_relative_information_score: 344.0785, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 0.991, recall: 0.91, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5403, f_measure: 0.5245, kappa: 0.0346, kb_relative_information_score: 23.1556, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5238, predictive_accuracy: 0.532, prior_entropy: 0.991, recall: 0.532, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.53, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 466.674, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8397, kappa: 0.6748, kb_relative_information_score: 290.1885, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.991, recall: 0.84, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8004, kappa: 0.5944, kb_relative_information_score: 228.0685, mean_absolute_error: 0.2817, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8028, predictive_accuracy: 0.802, prior_entropy: 0.991, recall: 0.802, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 413.5994, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7621, kappa: 0.5171, kb_relative_information_score: 199.6433, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7691, predictive_accuracy: 0.766, prior_entropy: 0.991, recall: 0.766, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.393, root_relative_squared_error: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 457.8747, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.2711,
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: 0.8091, f_measure: 0.7059, kappa: 0.4026, kb_relative_information_score: 127.9718, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7098, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8795,
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: 0.7662, f_measure: 0.7047, kappa: 0.4043, kb_relative_information_score: 123.7662, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7065, predictive_accuracy: 0.704, prior_entropy: 0.991, recall: 0.704, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 440.5843, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3387,
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: 0.987, f_measure: 0.964, kappa: 0.927, kb_relative_information_score: 448.1252, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.991, recall: 0.964, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7689, kappa: 0.5305, kb_relative_information_score: 201.6681, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7741, predictive_accuracy: 0.772, prior_entropy: 0.991, recall: 0.772, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.7009, kappa: 0.3922, kb_relative_information_score: 134.912, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7029, predictive_accuracy: 0.704, prior_entropy: 0.991, recall: 0.704, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9101, kappa: 0.8181, kb_relative_information_score: 371.6639, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9104, predictive_accuracy: 0.91, prior_entropy: 0.991, recall: 0.91, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6498, kappa: 0.3326, kb_relative_information_score: 107.4304, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7752, predictive_accuracy: 0.692, prior_entropy: 0.991, recall: 0.692, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 467.2584, mean_absolute_error: 0.0381, 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: 0.0772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2418,
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: 0.9825, f_measure: 0.86, kappa: 0.7235, kb_relative_information_score: 355.6345, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.86, prior_entropy: 0.991, recall: 0.86, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6976, kappa: 0.3857, kb_relative_information_score: 120.3048, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6986, predictive_accuracy: 0.7, prior_entropy: 0.991, recall: 0.7, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7062, kappa: 0.4032, kb_relative_information_score: 127.2573, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7067, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.6749, mean_absolute_error: 0.027, 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: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.6102, kappa: 0.2775, kb_relative_information_score: 66.0704, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7929, predictive_accuracy: 0.67, prior_entropy: 0.991, recall: 0.67, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9246,
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: 0.8001, f_measure: 0.6915, kappa: 0.3735, kb_relative_information_score: 121.5192, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6953, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8075, kappa: 0.6093, kb_relative_information_score: 244.2429, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8076, predictive_accuracy: 0.808, prior_entropy: 0.991, recall: 0.808, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7257,
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: 0.8513, f_measure: 0.7346, kappa: 0.4617, kb_relative_information_score: 156.9241, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7436, predictive_accuracy: 0.74, prior_entropy: 0.991, recall: 0.74, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8436,
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: 0.6696, f_measure: 0.6158, kappa: 0.2215, kb_relative_information_score: 60.419, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6157, predictive_accuracy: 0.616, prior_entropy: 0.991, recall: 0.616, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7377, kappa: 0.4671, kb_relative_information_score: 146.6092, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7395, predictive_accuracy: 0.74, prior_entropy: 0.991, recall: 0.74, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8505,
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: 0.7669, f_measure: 0.7078, kappa: 0.4064, kb_relative_information_score: 124.5986, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7087, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6385, kappa: 0.2691, kb_relative_information_score: 78.2396, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6393, predictive_accuracy: 0.638, prior_entropy: 0.991, recall: 0.638, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 451.8938, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2903,
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: 0.8428, f_measure: 0.7171, kappa: 0.4257, kb_relative_information_score: 145.5059, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7233, predictive_accuracy: 0.722, prior_entropy: 0.991, recall: 0.722, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 464.4981, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.134, root_relative_squared_error: 0.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.966, kappa: 0.9312, kb_relative_information_score: 416.4136, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 471.1543, mean_absolute_error: 0.0331, 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: 0.067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6568, kappa: 0.3077, kb_relative_information_score: 69.7766, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6587, predictive_accuracy: 0.656, prior_entropy: 0.991, recall: 0.656, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, kb_relative_information_score: 24.8276, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.934, kappa: 0.8661, kb_relative_information_score: 382.2069, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 0.991, recall: 0.934, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8418, kappa: 0.6793, kb_relative_information_score: 281.9886, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.991, recall: 0.842, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7723, kappa: 0.5374, kb_relative_information_score: 176.0548, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.774, predictive_accuracy: 0.774, prior_entropy: 0.991, recall: 0.774, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8097,
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: 0.9134, f_measure: 0.8176, kappa: 0.6299, kb_relative_information_score: 256.8954, mean_absolute_error: 0.2556, 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: 0.5176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.6362, kappa: 0.2634, kb_relative_information_score: 74.9311, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6363, predictive_accuracy: 0.636, prior_entropy: 0.991, recall: 0.636, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.956, kappa: 0.911, kb_relative_information_score: 433.6352, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7729, kappa: 0.5387, kb_relative_information_score: 240.5524, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7735, predictive_accuracy: 0.774, prior_entropy: 0.991, recall: 0.774, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7768,
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: 0.9855, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.8392, mean_absolute_error: 0.0292, 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: 0.0592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7024, kappa: 0.3955, kb_relative_information_score: 125.9789, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7052, predictive_accuracy: 0.706, prior_entropy: 0.991, recall: 0.706, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8785,

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