OpenML
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13958 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML100 study_123 study_14 study_7
Issue #Downvotes for this reason By


Metric:

13958 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: 0.8895, f_measure: 0.7965, kappa: 0.78, kb_relative_information_score: 447.4184, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8062, predictive_accuracy: 0.7933, prior_entropy: 4.208, recall: 0.7933, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.6331, kappa: 0.6135, kb_relative_information_score: 354.353, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6395, predictive_accuracy: 0.6375, prior_entropy: 4.208, recall: 0.6375, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kappa: 0.0045, kb_relative_information_score: 38.963, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1086, prior_entropy: 4.208, recall: 0.1086, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.6801, kappa: 0.6319, kb_relative_information_score: 362.5913, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7706, predictive_accuracy: 0.6567, prior_entropy: 4.208, recall: 0.6567, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, kappa: 0.1549, kb_relative_information_score: 114.5291, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.2364, prior_entropy: 4.208, recall: 0.2364, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2763, root_relative_squared_error: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.5573, kappa: 0.4892, kb_relative_information_score: 286.6195, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6714, predictive_accuracy: 0.5184, prior_entropy: 4.208, recall: 0.5184, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, kappa: 0.0657, kb_relative_information_score: 65.1469, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1611, prior_entropy: 4.208, recall: 0.1611, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2896, root_relative_squared_error: 1.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.2608, kappa: 0.1656, kb_relative_information_score: 113.9217, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.4799, predictive_accuracy: 0.2119, prior_entropy: 4.208, recall: 0.2119, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2807, root_relative_squared_error: 1.2943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6546, kappa: 0.6307, kb_relative_information_score: 365.0274, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6914, predictive_accuracy: 0.6515, prior_entropy: 4.208, recall: 0.6515, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.7192, kappa: 0.6843, kb_relative_information_score: 393.1864, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7645, predictive_accuracy: 0.7023, prior_entropy: 4.208, recall: 0.7023, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.5958, kappa: 0.5473, kb_relative_information_score: 317.3419, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6716, predictive_accuracy: 0.5744, prior_entropy: 4.208, recall: 0.5744, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, kappa: 0.0304, kb_relative_information_score: 50.6737, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1313, prior_entropy: 4.208, recall: 0.1313, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2947, root_relative_squared_error: 1.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0005, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kappa: 0.0503, kb_relative_information_score: 59.2215, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1489, prior_entropy: 4.208, recall: 0.1489, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.3451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.682, kappa: 0.6627, kb_relative_information_score: 383.6192, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6896, predictive_accuracy: 0.683, prior_entropy: 4.208, recall: 0.683, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.178, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, kappa: 0.4321, kb_relative_information_score: 250.9072, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.4764, prior_entropy: 4.208, recall: 0.4764, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7305, kappa: 0.7137, kb_relative_information_score: 414.4751, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.739, predictive_accuracy: 0.7303, prior_entropy: 4.208, recall: 0.7303, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, kappa: 0.479, kb_relative_information_score: 273.9306, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5201, prior_entropy: 4.208, recall: 0.5201, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2191, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.4281, kappa: 0.3966, kb_relative_information_score: 233.4302, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.4788, predictive_accuracy: 0.4396, prior_entropy: 4.208, recall: 0.4396, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2367, root_relative_squared_error: 1.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6663, kappa: 0.6459, kb_relative_information_score: 373.9858, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6713, predictive_accuracy: 0.6673, prior_entropy: 4.208, recall: 0.6673, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, kappa: 0.0086, kb_relative_information_score: 40.908, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1121, prior_entropy: 4.208, recall: 0.1121, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.298, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.5393, kappa: 0.4657, kb_relative_information_score: 273.1668, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6765, predictive_accuracy: 0.4956, prior_entropy: 4.208, recall: 0.4956, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2246, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.493, kappa: 0.4646, kb_relative_information_score: 270.2034, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.5131, predictive_accuracy: 0.4991, prior_entropy: 4.208, recall: 0.4991, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2238, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6782, kappa: 0.6462, kb_relative_information_score: 373.4728, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7081, predictive_accuracy: 0.6673, prior_entropy: 4.208, recall: 0.6673, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7791, kappa: 0.7601, kb_relative_information_score: 436.7993, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7923, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6673, kappa: 0.646, kb_relative_information_score: 374.451, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6743, predictive_accuracy: 0.6673, prior_entropy: 4.208, recall: 0.6673, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.4703, kappa: 0.442, kb_relative_information_score: 261.7561, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.4877, predictive_accuracy: 0.4764, prior_entropy: 4.208, recall: 0.4764, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2288, root_relative_squared_error: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.6118, kappa: 0.5684, kb_relative_information_score: 329.1916, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6868, predictive_accuracy: 0.5954, prior_entropy: 4.208, recall: 0.5954, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, kappa: 0.0482, kb_relative_information_score: 59.5876, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1454, prior_entropy: 4.208, recall: 0.1454, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2923, root_relative_squared_error: 1.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, kappa: 0.3366, kb_relative_information_score: 196.0371, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.3923, prior_entropy: 4.208, recall: 0.3923, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2465, root_relative_squared_error: 1.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.5552, kappa: 0.4874, kb_relative_information_score: 285.2764, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.669, predictive_accuracy: 0.5166, prior_entropy: 4.208, recall: 0.5166, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, kappa: 0.2942, kb_relative_information_score: 173.2333, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.3573, prior_entropy: 4.208, recall: 0.3573, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2535, root_relative_squared_error: 1.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.5757, kappa: 0.5147, kb_relative_information_score: 299.5728, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6722, predictive_accuracy: 0.5429, prior_entropy: 4.208, recall: 0.5429, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7269, kappa: 0.7087, kb_relative_information_score: 407.3808, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7389, predictive_accuracy: 0.7268, prior_entropy: 4.208, recall: 0.7268, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.6937, kappa: 0.6511, kb_relative_information_score: 373.4823, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8, predictive_accuracy: 0.6743, prior_entropy: 4.208, recall: 0.6743, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7791, kappa: 0.7601, kb_relative_information_score: 436.7993, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7923, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, kappa: 0.0975, kb_relative_information_score: 85.1131, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1874, prior_entropy: 4.208, recall: 0.1874, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.3143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.5478, kappa: 0.5201, kb_relative_information_score: 303.9537, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.561, predictive_accuracy: 0.5499, prior_entropy: 4.208, recall: 0.5499, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.6864, kappa: 0.6667, kb_relative_information_score: 387.2379, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.694, predictive_accuracy: 0.6865, prior_entropy: 4.208, recall: 0.6865, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7913, kappa: 0.773, kb_relative_information_score: 443.7971, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8057, predictive_accuracy: 0.7863, prior_entropy: 4.208, recall: 0.7863, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.5599, kappa: 0.5269, kb_relative_information_score: 307.289, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.5834, predictive_accuracy: 0.5569, prior_entropy: 4.208, recall: 0.5569, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7175, kappa: 0.6894, kb_relative_information_score: 391.5754, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7809, predictive_accuracy: 0.711, prior_entropy: 4.208, recall: 0.711, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.17, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5854, kappa: 0.5126, kb_relative_information_score: 297.3064, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7756, predictive_accuracy: 0.5517, prior_entropy: 4.208, recall: 0.5517, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.5896, kappa: 0.5166, kb_relative_information_score: 300.0861, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7868, predictive_accuracy: 0.5552, prior_entropy: 4.208, recall: 0.5552, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.6717, kappa: 0.6232, kb_relative_information_score: 357.4055, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7881, predictive_accuracy: 0.648, prior_entropy: 4.208, recall: 0.648, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6815, kappa: 0.6612, kb_relative_information_score: 383.4638, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6916, predictive_accuracy: 0.6813, prior_entropy: 4.208, recall: 0.6813, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.6745, kappa: 0.6569, kb_relative_information_score: 379.9286, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6852, predictive_accuracy: 0.6778, prior_entropy: 4.208, recall: 0.6778, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.5389, kappa: 0.4657, kb_relative_information_score: 273.1668, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6747, predictive_accuracy: 0.4956, prior_entropy: 4.208, recall: 0.4956, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2246, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7791, kappa: 0.7601, kb_relative_information_score: 436.7993, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7923, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6169, kappa: 0.5951, kb_relative_information_score: 345.1047, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6244, predictive_accuracy: 0.62, prior_entropy: 4.208, recall: 0.62, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7326, kappa: 0.7013, kb_relative_information_score: 401.1321, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7933, predictive_accuracy: 0.7215, prior_entropy: 4.208, recall: 0.7215, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7407, kappa: 0.7118, kb_relative_information_score: 409.1674, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7802, predictive_accuracy: 0.7285, prior_entropy: 4.208, recall: 0.7285, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.7919, kappa: 0.7717, kb_relative_information_score: 441.0346, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8202, predictive_accuracy: 0.7863, prior_entropy: 4.208, recall: 0.7863, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7718, kappa: 0.7508, kb_relative_information_score: 431.8529, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7878, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, kappa: 0.5571, kb_relative_information_score: 317.4268, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5902, prior_entropy: 4.208, recall: 0.5902, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.5426, kappa: 0.4694, kb_relative_information_score: 274.9916, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6776, predictive_accuracy: 0.4991, prior_entropy: 4.208, recall: 0.4991, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2238, root_relative_squared_error: 1.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7679, kappa: 0.7489, kb_relative_information_score: 430.3385, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7812, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.5576, kappa: 0.4892, kb_relative_information_score: 286.6195, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6722, predictive_accuracy: 0.5184, prior_entropy: 4.208, recall: 0.5184, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.5429, kappa: 0.5181, kb_relative_information_score: 300.7242, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.5527, predictive_accuracy: 0.5482, prior_entropy: 4.208, recall: 0.5482, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6782, kappa: 0.6462, kb_relative_information_score: 373.4728, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7081, predictive_accuracy: 0.6673, prior_entropy: 4.208, recall: 0.6673, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.6776, kappa: 0.6463, kb_relative_information_score: 373.6967, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.707, predictive_accuracy: 0.6673, prior_entropy: 4.208, recall: 0.6673, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, kappa: 0.5378, kb_relative_information_score: 304.7519, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5727, prior_entropy: 4.208, recall: 0.5727, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, kappa: 0.0571, kb_relative_information_score: 63.7556, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1541, prior_entropy: 4.208, recall: 0.1541, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2908, root_relative_squared_error: 1.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, kappa: 0.1083, kb_relative_information_score: 83.8711, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1944, prior_entropy: 4.208, recall: 0.1944, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2838, root_relative_squared_error: 1.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.5393, kappa: 0.4657, kb_relative_information_score: 273.1668, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6765, predictive_accuracy: 0.4956, prior_entropy: 4.208, recall: 0.4956, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2246, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7666, kappa: 0.7503, kb_relative_information_score: 432.5291, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7745, predictive_accuracy: 0.7653, prior_entropy: 4.208, recall: 0.7653, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.5573, kappa: 0.4892, kb_relative_information_score: 286.6195, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6714, predictive_accuracy: 0.5184, prior_entropy: 4.208, recall: 0.5184, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2195, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.5583, kappa: 0.5353, kb_relative_information_score: 310.1768, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.573, predictive_accuracy: 0.5639, prior_entropy: 4.208, recall: 0.5639, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7343, kappa: 0.7098, kb_relative_information_score: 408.5652, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7551, predictive_accuracy: 0.7268, prior_entropy: 4.208, recall: 0.7268, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.5573, kappa: 0.4874, kb_relative_information_score: 285.5687, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6737, predictive_accuracy: 0.5166, prior_entropy: 4.208, recall: 0.5166, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2199, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8174, kappa: 0.8002, kb_relative_information_score: 457.9559, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8348, predictive_accuracy: 0.8126, prior_entropy: 4.208, recall: 0.8126, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.5393, kappa: 0.4657, kb_relative_information_score: 273.1668, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6765, predictive_accuracy: 0.4956, prior_entropy: 4.208, recall: 0.4956, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2246, root_relative_squared_error: 1.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6661, kappa: 0.6116, kb_relative_information_score: 350.3405, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7831, predictive_accuracy: 0.6392, prior_entropy: 4.208, recall: 0.6392, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7085, kappa: 0.6815, kb_relative_information_score: 392.3234, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7368, predictive_accuracy: 0.7005, prior_entropy: 4.208, recall: 0.7005, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7172, kappa: 0.6996, kb_relative_information_score: 402.5536, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7228, predictive_accuracy: 0.718, prior_entropy: 4.208, recall: 0.718, relative_absolute_error: 0.2996, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.6526, kappa: 0.6308, kb_relative_information_score: 366.2373, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6583, predictive_accuracy: 0.6532, prior_entropy: 4.208, recall: 0.6532, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.6931, kappa: 0.6722, kb_relative_information_score: 388.4947, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7001, predictive_accuracy: 0.6918, prior_entropy: 4.208, recall: 0.6918, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, kappa: 0.0251, kb_relative_information_score: 48.8259, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1261, prior_entropy: 4.208, recall: 0.1261, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2956, root_relative_squared_error: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6275, kappa: 0.6062, kb_relative_information_score: 350.4443, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6342, predictive_accuracy: 0.6305, prior_entropy: 4.208, recall: 0.6305, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.8863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.7989, kappa: 0.7836, kb_relative_information_score: 448.7159, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8068, predictive_accuracy: 0.7968, prior_entropy: 4.208, recall: 0.7968, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.6571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7086, kappa: 0.6743, kb_relative_information_score: 387.6889, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7484, predictive_accuracy: 0.6935, prior_entropy: 4.208, recall: 0.6935, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.6058, kappa: 0.5501, kb_relative_information_score: 319.2539, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6964, predictive_accuracy: 0.5762, prior_entropy: 4.208, recall: 0.5762, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7575, kappa: 0.7344, kb_relative_information_score: 420.7068, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7895, predictive_accuracy: 0.7513, prior_entropy: 4.208, recall: 0.7513, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, kappa: 0.0231, kb_relative_information_score: 51.8197, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1121, prior_entropy: 4.208, recall: 0.1121, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.298, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.6238, kappa: 0.5777, kb_relative_information_score: 334.8062, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6963, predictive_accuracy: 0.6025, prior_entropy: 4.208, recall: 0.6025, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8048, kappa: 0.7852, kb_relative_information_score: 450.1599, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8247, predictive_accuracy: 0.7986, prior_entropy: 4.208, recall: 0.7986, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, kappa: 0.0401, kb_relative_information_score: 55.4018, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1384, prior_entropy: 4.208, recall: 0.1384, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2935, root_relative_squared_error: 1.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.7785, kappa: 0.7601, kb_relative_information_score: 436.5232, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7904, predictive_accuracy: 0.7741, prior_entropy: 4.208, recall: 0.7741, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.002, kb_relative_information_score: 37.8921, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1068, prior_entropy: 4.208, recall: 0.1068, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, kappa: 0.0307, kb_relative_information_score: 51.2937, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1313, prior_entropy: 4.208, recall: 0.1313, relative_absolute_error: 0.923, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2947, root_relative_squared_error: 1.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5446, kappa: 0.4633, kb_relative_information_score: 274.4461, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7121, predictive_accuracy: 0.5044, prior_entropy: 4.208, recall: 0.5044, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.0264,

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