Task
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13738 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:

13738 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.8608, f_measure: 0.7489, kappa: 0.7251, kb_relative_information_score: 417.7791, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7736, predictive_accuracy: 0.7426, prior_entropy: 4.208, recall: 0.7426, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.7398, usercpu_time_millis: 5.27, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 3.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, kappa: 0.2377, kb_relative_information_score: 141.8828, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.2977, prior_entropy: 4.208, recall: 0.2977, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, kappa: 0.8491, kb_relative_information_score: 442.8202, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8581, prior_entropy: 4.208, recall: 0.8581, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.121, root_relative_squared_error: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.686, kappa: 0.7011, kb_relative_information_score: 19.331, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7624, predictive_accuracy: 0.7163, prior_entropy: 4.208, recall: 0.7163, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7232, kappa: 0.7054, kb_relative_information_score: 370.3211, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7364, predictive_accuracy: 0.7233, prior_entropy: 4.208, recall: 0.7233, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.8799, kappa: 0.8732, kb_relative_information_score: 479.6742, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8904, predictive_accuracy: 0.8809, prior_entropy: 4.208, recall: 0.8809, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kappa: 0.0005, kb_relative_information_score: 4.8133, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7002, kappa: 0.6814, kb_relative_information_score: 348.497, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7261, predictive_accuracy: 0.7023, prior_entropy: 4.208, recall: 0.7023, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7, kappa: 0.66, kb_relative_information_score: 344.1096, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7548, predictive_accuracy: 0.6795, prior_entropy: 4.208, recall: 0.6795, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4754, kappa: 0.0002, kb_relative_information_score: 3.5394, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, kappa: 0.7951, kb_relative_information_score: 434.4813, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8074, prior_entropy: 4.208, recall: 0.8074, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8421, kappa: 0.8396, kb_relative_information_score: 455.6516, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8431, predictive_accuracy: 0.8494, prior_entropy: 4.208, recall: 0.8494, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5264,
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: 0.4728, kb_relative_information_score: 3.2689, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.877, kappa: 0.8751, kb_relative_information_score: 457.5295, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8935, predictive_accuracy: 0.8827, prior_entropy: 4.208, recall: 0.8827, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 2.9578, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.6759, kappa: 0.629, kb_relative_information_score: 321.4655, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7508, predictive_accuracy: 0.6532, prior_entropy: 4.208, recall: 0.6532, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8535, kappa: 0.8452, kb_relative_information_score: 474.607, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.861, predictive_accuracy: 0.8546, prior_entropy: 4.208, recall: 0.8546, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8495, kappa: 0.8472, kb_relative_information_score: 462.0562, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8509, predictive_accuracy: 0.8564, prior_entropy: 4.208, recall: 0.8564, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.112, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.7132, kappa: 0.6922, kb_relative_information_score: 363.2793, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7612, predictive_accuracy: 0.7128, prior_entropy: 4.208, recall: 0.7128, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, kappa: 0.193, kb_relative_information_score: 69.2289, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.2627, prior_entropy: 4.208, recall: 0.2627, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.4132, kappa: 0.3507, kb_relative_information_score: 151.493, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6289, predictive_accuracy: 0.4046, prior_entropy: 4.208, recall: 0.4046, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8477, kappa: 0.8433, kb_relative_information_score: 461.7422, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8508, predictive_accuracy: 0.8529, prior_entropy: 4.208, recall: 0.8529, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, kappa: 0.2734, kb_relative_information_score: 124.4113, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.338, prior_entropy: 4.208, recall: 0.338, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, kappa: 0.847, kb_relative_information_score: 453.0444, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8564, prior_entropy: 4.208, recall: 0.8564, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.6896, kappa: 0.6701, kb_relative_information_score: 312.9675, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7252, predictive_accuracy: 0.6918, prior_entropy: 4.208, recall: 0.6918, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.7708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8529, kappa: 0.841, kb_relative_information_score: 483.7673, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8789, predictive_accuracy: 0.8511, prior_entropy: 4.208, recall: 0.8511, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, kappa: 0.8228, kb_relative_information_score: 420.0008, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8336, prior_entropy: 4.208, recall: 0.8336, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8823, kappa: 0.8788, kb_relative_information_score: 460.2492, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8976, predictive_accuracy: 0.8862, prior_entropy: 4.208, recall: 0.8862, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.5123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8804, kappa: 0.8732, kb_relative_information_score: 474.882, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8902, predictive_accuracy: 0.8809, prior_entropy: 4.208, recall: 0.8809, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8613, kappa: 0.8528, kb_relative_information_score: 480.4684, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8686, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.4813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kappa: 0.0003, kb_relative_information_score: 3.7626, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.7034, kappa: 0.6861, kb_relative_information_score: 348.3103, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7243, predictive_accuracy: 0.7058, prior_entropy: 4.208, recall: 0.7058, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8706, kappa: 0.8641, kb_relative_information_score: 20.79, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8734, predictive_accuracy: 0.8722, prior_entropy: 4.208, recall: 0.8722, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, kappa: 0.5158, kb_relative_information_score: 310.956, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5517, prior_entropy: 4.208, recall: 0.5517, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8375, kappa: 0.8269, kb_relative_information_score: 478.9553, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8475, predictive_accuracy: 0.8371, prior_entropy: 4.208, recall: 0.8371, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, kappa: 0.2738, kb_relative_information_score: 115.1795, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.3222, prior_entropy: 4.208, recall: 0.3222, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8772, kappa: 0.8693, kb_relative_information_score: 500.6778, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8872, predictive_accuracy: 0.8774, prior_entropy: 4.208, recall: 0.8774, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9057, kappa: 0.8994, kb_relative_information_score: 487.3756, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.9118, predictive_accuracy: 0.9054, prior_entropy: 4.208, recall: 0.9054, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.84, kappa: 0.8322, kb_relative_information_score: 462.2183, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8484, predictive_accuracy: 0.8424, prior_entropy: 4.208, recall: 0.8424, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, kappa: 0.4292, kb_relative_information_score: 199.2225, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.4711, prior_entropy: 4.208, recall: 0.4711, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.8563, kb_relative_information_score: 439.3445, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8651, prior_entropy: 4.208, recall: 0.8651, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, kappa: 0.0321, kb_relative_information_score: 35.926, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1296, prior_entropy: 4.208, recall: 0.1296, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.7227, kappa: 0.6999, kb_relative_information_score: 363.503, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7625, predictive_accuracy: 0.7198, prior_entropy: 4.208, recall: 0.7198, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.6979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.7991, kappa: 0.7845, kb_relative_information_score: 445.8327, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8338, predictive_accuracy: 0.7986, prior_entropy: 4.208, recall: 0.7986, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4343, kappa: -0.0077, kb_relative_information_score: 3.5638, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.0981, prior_entropy: 4.208, recall: 0.0981, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2171, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7257, kappa: 0.7055, kb_relative_information_score: 362.7476, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7687, predictive_accuracy: 0.725, prior_entropy: 4.208, recall: 0.725, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, kappa: 0.5164, kb_relative_information_score: 269.9578, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5517, prior_entropy: 4.208, recall: 0.5517, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.186, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, kappa: 0.7801, kb_relative_information_score: 407.0422, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7933, prior_entropy: 4.208, recall: 0.7933, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, kappa: 0.4684, kb_relative_information_score: 223.9045, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.5096, prior_entropy: 4.208, recall: 0.5096, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.7766, kappa: 0.7611, kb_relative_information_score: 454.3189, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7875, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.119, root_relative_squared_error: 0.5485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8452, kappa: 0.8359, kb_relative_information_score: 471.636, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8534, predictive_accuracy: 0.8459, prior_entropy: 4.208, recall: 0.8459, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8439, kappa: 0.8365, kb_relative_information_score: 19.844, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8508, predictive_accuracy: 0.8459, prior_entropy: 4.208, recall: 0.8459, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2178, root_relative_squared_error: 1.0042,
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: 0.9318, kappa: 0.3982, kb_relative_information_score: 261.4526, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.4396, prior_entropy: 4.208, recall: 0.4396, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.6627, kappa: 0.634, kb_relative_information_score: 312.3583, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6896, predictive_accuracy: 0.6567, prior_entropy: 4.208, recall: 0.6567, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.7778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, kappa: 0.8637, kb_relative_information_score: 448.345, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8722, prior_entropy: 4.208, recall: 0.8722, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8516, kappa: 0.8417, kb_relative_information_score: 474.4928, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.864, predictive_accuracy: 0.8511, prior_entropy: 4.208, recall: 0.8511, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kappa: 0.0046, kb_relative_information_score: 4.2958, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1086, prior_entropy: 4.208, recall: 0.1086, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8734, kappa: 0.8658, kb_relative_information_score: 480.6724, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8785, predictive_accuracy: 0.8739, prior_entropy: 4.208, recall: 0.8739, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.4867, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.049, prior_entropy: 4.208, recall: 0.049, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, kb_relative_information_score: 3.2015, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, kappa: 0.762, kb_relative_information_score: 435.3355, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, kappa: 0.8433, kb_relative_information_score: 456.5724, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8529, prior_entropy: 4.208, recall: 0.8529, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, kappa: 0.8563, kb_relative_information_score: 422.9237, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8651, prior_entropy: 4.208, recall: 0.8651, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.5959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, kappa: 0.8305, kb_relative_information_score: 445.4547, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8406, prior_entropy: 4.208, recall: 0.8406, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, kb_relative_information_score: 3.4343, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, kappa: 0.4133, kb_relative_information_score: 18.7797, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.4431, prior_entropy: 4.208, recall: 0.4431, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.8523, kappa: 0.8429, kb_relative_information_score: 489.6628, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8751, predictive_accuracy: 0.8529, prior_entropy: 4.208, recall: 0.8529, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.5096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8622, kappa: 0.8529, kb_relative_information_score: 473.7915, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8739, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.4931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.7937, kappa: 0.778, kb_relative_information_score: 461.6265, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.803, predictive_accuracy: 0.7916, prior_entropy: 4.208, recall: 0.7916, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, kappa: 0.3573, kb_relative_information_score: 18.7525, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.4081, prior_entropy: 4.208, recall: 0.4081, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.714, kappa: 0.6801, kb_relative_information_score: 348.9384, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.762, predictive_accuracy: 0.6988, prior_entropy: 4.208, recall: 0.6988, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, kappa: 0.8268, kb_relative_information_score: 449.335, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8371, prior_entropy: 4.208, recall: 0.8371, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.119, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, kappa: -0.0017, kb_relative_information_score: 3.7019, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1033, prior_entropy: 4.208, recall: 0.1033, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8073, kappa: 0.7932, kb_relative_information_score: 473.4908, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8154, predictive_accuracy: 0.8056, prior_entropy: 4.208, recall: 0.8056, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8831, kappa: 0.8789, kb_relative_information_score: 472.0953, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.892, predictive_accuracy: 0.8862, prior_entropy: 4.208, recall: 0.8862, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, kappa: 0.8154, kb_relative_information_score: 421.4453, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8266, prior_entropy: 4.208, recall: 0.8266, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.899, kappa: 0.8956, kb_relative_information_score: 481.0514, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.9085, predictive_accuracy: 0.9019, prior_entropy: 4.208, recall: 0.9019, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8894, kappa: 0.8825, kb_relative_information_score: 486.6605, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8971, predictive_accuracy: 0.8897, prior_entropy: 4.208, recall: 0.8897, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, kappa: 0.789, kb_relative_information_score: 374.296, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8021, prior_entropy: 4.208, recall: 0.8021, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4739, kb_relative_information_score: 3.0248, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, kappa: 0.8414, kb_relative_information_score: 423.6534, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8511, prior_entropy: 4.208, recall: 0.8511, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8819, kappa: 0.8751, kb_relative_information_score: 478.6255, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8863, predictive_accuracy: 0.8827, prior_entropy: 4.208, recall: 0.8827, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, kappa: 0.1913, kb_relative_information_score: 116.6789, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.2592, prior_entropy: 4.208, recall: 0.2592, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8368, kappa: 0.8266, kb_relative_information_score: 476.5824, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8425, predictive_accuracy: 0.8371, prior_entropy: 4.208, recall: 0.8371, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, kappa: 0.814, kb_relative_information_score: 450.7963, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8249, prior_entropy: 4.208, recall: 0.8249, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8022, kappa: 0.7874, kb_relative_information_score: 471.4535, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8131, predictive_accuracy: 0.8004, prior_entropy: 4.208, recall: 0.8004, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9083, kappa: 0.9031, kb_relative_information_score: 483.6139, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.9133, predictive_accuracy: 0.9089, prior_entropy: 4.208, recall: 0.9089, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.848, kappa: 0.8415, kb_relative_information_score: 463.2717, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8549, predictive_accuracy: 0.8511, prior_entropy: 4.208, recall: 0.8511, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.846, kappa: 0.8378, kb_relative_information_score: 489.9069, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8485, predictive_accuracy: 0.8476, prior_entropy: 4.208, recall: 0.8476, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.5135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.8405, kappa: 0.8285, kb_relative_information_score: 482.374, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8478, predictive_accuracy: 0.8389, prior_entropy: 4.208, recall: 0.8389, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8766, kappa: 0.8697, kb_relative_information_score: 20.5447, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.878, predictive_accuracy: 0.8774, prior_entropy: 4.208, recall: 0.8774, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8054, kappa: 0.7911, kb_relative_information_score: 470.6847, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.815, predictive_accuracy: 0.8039, prior_entropy: 4.208, recall: 0.8039, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, kappa: 0.849, kb_relative_information_score: 454.8319, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8581, prior_entropy: 4.208, recall: 0.8581, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8375, kappa: 0.8288, kb_relative_information_score: 20.3935, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8433, predictive_accuracy: 0.8389, prior_entropy: 4.208, recall: 0.8389, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2177, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8632, kappa: 0.8546, kb_relative_information_score: 21.1031, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8703, predictive_accuracy: 0.8634, prior_entropy: 4.208, recall: 0.8634, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.0035,

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