Task
Supervised Classification on oil_spill

Supervised Classification on oil_spill

Task 3484 Supervised Classification oil_spill 173 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

173 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9519, kappa: 0.319, kb_relative_information_score: -0.352, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0846, weighted_recall: 0.9616, number_of_instances: 937, precision: 0.9534, predictive_accuracy: 0.9616, prior_entropy: 0.2593, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.8386, unweighted_recall: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.9401, kappa: 0.1977, kb_relative_information_score: -0.9515, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.0846, weighted_recall: 0.9477, number_of_instances: 937, precision: 0.9346, predictive_accuracy: 0.9477, prior_entropy: 0.2593, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2071, root_relative_squared_error: 1.0127, unweighted_recall: 0.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.9573, kappa: 0.3947, kb_relative_information_score: -0.5478, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.0846, weighted_recall: 0.9658, number_of_instances: 937, precision: 0.9622, predictive_accuracy: 0.9658, prior_entropy: 0.2593, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.8416, unweighted_recall: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.942, kappa: 0.342, kb_relative_information_score: -0.0672, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0846, weighted_recall: 0.9392, number_of_instances: 937, precision: 0.9452, predictive_accuracy: 0.9392, prior_entropy: 0.2593, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2466, root_relative_squared_error: 1.2057, unweighted_recall: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.9531, kappa: 0.3684, kb_relative_information_score: -171.0987, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.951, predictive_accuracy: 0.9594, prior_entropy: 0.2636, recall: 0.9594, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.9397, kappa: 0.1137, kb_relative_information_score: -263.3422, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9359, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.9349, kb_relative_information_score: -45.5034, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.9506, kappa: 0.3813, kb_relative_information_score: 96.7891, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9486, predictive_accuracy: 0.953, prior_entropy: 0.2636, recall: 0.953, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9632, kappa: 0.5418, kb_relative_information_score: -63.3139, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9621, predictive_accuracy: 0.9648, prior_entropy: 0.2636, recall: 0.9648, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.9581, kappa: 0.4253, kb_relative_information_score: 350.2385, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9587, predictive_accuracy: 0.9648, prior_entropy: 0.2636, recall: 0.9648, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.8829, kappa: 0.1968, kb_relative_information_score: -2976.5371, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9436, predictive_accuracy: 0.842, prior_entropy: 0.2636, recall: 0.842, relative_absolute_error: 2.1515, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3547, root_relative_squared_error: 1.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.9446, kappa: 0.302, kb_relative_information_score: -189.2195, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.942, predictive_accuracy: 0.9477, prior_entropy: 0.2636, recall: 0.9477, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2183, root_relative_squared_error: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9541, kappa: 0.4638, kb_relative_information_score: -180.3333, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.953, prior_entropy: 0.2636, recall: 0.953, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.9551, kappa: 0.4375, kb_relative_information_score: 118.7603, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9534, predictive_accuracy: 0.9573, prior_entropy: 0.2636, recall: 0.9573, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9483, kappa: 0.2403, kb_relative_information_score: -93.8743, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9578, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.9516, kappa: 0.3017, kb_relative_information_score: 333.2954, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9572, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.9627, kappa: 0.5072, kb_relative_information_score: -181.8615, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9621, predictive_accuracy: 0.9669, prior_entropy: 0.2636, recall: 0.9669, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.8204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9399, kappa: 0.0893, kb_relative_information_score: -173.6334, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9601, predictive_accuracy: 0.9584, prior_entropy: 0.2636, recall: 0.9584, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.9524, kappa: 0.3091, kb_relative_information_score: -55.5144, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9611, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.8758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: 4.742, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.9531, kappa: 0.38, kb_relative_information_score: -308.7004, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9506, predictive_accuracy: 0.9584, prior_entropy: 0.2636, recall: 0.9584, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.184, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.9468, kappa: 0.3525, kb_relative_information_score: 12.7289, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9459, predictive_accuracy: 0.9477, prior_entropy: 0.2636, recall: 0.9477, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.8795, kappa: 0.1897, kb_relative_information_score: -2854.5906, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9433, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1604, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.9525, kappa: 0.4255, kb_relative_information_score: -115.3573, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9519, predictive_accuracy: 0.953, prior_entropy: 0.2636, recall: 0.953, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.9494, kappa: 0.4288, kb_relative_information_score: -340.8231, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9527, predictive_accuracy: 0.9466, prior_entropy: 0.2636, recall: 0.9466, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2069, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.9243, kappa: 0.2601, kb_relative_information_score: -871.6086, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9407, predictive_accuracy: 0.9114, prior_entropy: 0.2636, recall: 0.9114, relative_absolute_error: 1.1205, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.279, root_relative_squared_error: 1.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.8926, kappa: 0.1516, kb_relative_information_score: -5944.5285, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9341, predictive_accuracy: 0.8613, prior_entropy: 0.2636, recall: 0.8613, relative_absolute_error: 2.8725, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3264, root_relative_squared_error: 1.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.9468, kappa: 0.3525, kb_relative_information_score: 12.7289, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9459, predictive_accuracy: 0.9477, prior_entropy: 0.2636, recall: 0.9477, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9496, kappa: 0.2685, kb_relative_information_score: -240.0665, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.9349, kb_relative_information_score: -1.8433, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.9556, kappa: 0.3905, kb_relative_information_score: -568.2742, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.177, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.9436, kappa: 0.342, kb_relative_information_score: -10.1992, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.945, predictive_accuracy: 0.9424, prior_entropy: 0.2636, recall: 0.9424, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.1736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226, scimark_benchmark: 1697.6783, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226, scimark_benchmark: 1862.8608, usercpu_time_millis: 2250, usercpu_time_millis_testing: 1078.125, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226, scimark_benchmark: 1355.1532, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226, scimark_benchmark: 1694.0585, usercpu_time_millis: 1060, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.956, kappa: 0.471, kb_relative_information_score: 134.5547, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9557, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.9654, scimark_benchmark: 1918.4916, usercpu_time_millis: 6984.375, usercpu_time_millis_training: 6984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.9563, kappa: 0.465, kb_relative_information_score: 141.3631, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9553, predictive_accuracy: 0.9573, prior_entropy: 0.2636, recall: 0.9573, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.9866, scimark_benchmark: 1918.4916, usercpu_time_millis: 9515.625, usercpu_time_millis_training: 9515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0037, kb_relative_information_score: -14541.5761, mean_absolute_error: 0.9562, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.0019, predictive_accuracy: 0.0438, prior_entropy: 0.2636, recall: 0.0438, relative_absolute_error: 11.307, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.9779, root_relative_squared_error: 4.7805, scimark_benchmark: 1854.0453, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0037, kb_relative_information_score: -14541.5761, mean_absolute_error: 0.9562, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.0019, predictive_accuracy: 0.0438, prior_entropy: 0.2636, recall: 0.0438, relative_absolute_error: 11.307, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.9779, root_relative_squared_error: 4.7805, scimark_benchmark: 1742.8208, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.643, kappa: 0.0044, kb_relative_information_score: -6947.9825, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9184, predictive_accuracy: 0.5133, prior_entropy: 0.2636, recall: 0.5133, relative_absolute_error: 5.7545, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.6976, root_relative_squared_error: 3.4104, scimark_benchmark: 1377.4309, usercpu_time_millis: 8921.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 8890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.9653, kappa: 0.5553, kb_relative_information_score: 349.1441, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9643, predictive_accuracy: 0.968, prior_entropy: 0.2636, recall: 0.968, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.8097, scimark_benchmark: 1405.9446, usercpu_time_millis: 12210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 12170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.9546, kappa: 0.4516, kb_relative_information_score: 87.1769, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9541, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.9792, scimark_benchmark: 1416.417, usercpu_time_millis: 1109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1093.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801, scimark_benchmark: 1297.0285, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801, scimark_benchmark: 1360.5278, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.9516, kappa: 0.3017, kb_relative_information_score: 317.706, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9572, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.9448, scimark_benchmark: 1255.7549, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9619, kappa: 0.4985, kb_relative_information_score: 369.4805, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9608, predictive_accuracy: 0.9658, prior_entropy: 0.2636, recall: 0.9658, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.9034, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.9519, kappa: 0.4115, kb_relative_information_score: 41.04, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9508, predictive_accuracy: 0.953, prior_entropy: 0.2636, recall: 0.953, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.9871, scimark_benchmark: 1744.8652, usercpu_time_millis: 625, usercpu_time_millis_training: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9504, kappa: 0.4278, kb_relative_information_score: 31.1821, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9523, predictive_accuracy: 0.9488, prior_entropy: 0.2636, recall: 0.9488, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0842, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9552, kappa: 0.4644, kb_relative_information_score: 191.3733, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2115, root_relative_squared_error: 1.0338, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9595, kappa: 0.4672, kb_relative_information_score: 179.1215, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.958, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8715, scimark_benchmark: 1744.8652, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.9584, kappa: 0.4664, kb_relative_information_score: 202.1938, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9566, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9087, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.9515, kappa: 0.3547, kb_relative_information_score: 10.8542, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9487, predictive_accuracy: 0.9573, prior_entropy: 0.2636, recall: 0.9573, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.9545, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9535, kappa: 0.3338, kb_relative_information_score: -222.4685, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.959, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.8143, scimark_benchmark: 1744.8652, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.9468, kappa: 0.3525, kb_relative_information_score: 12.7289, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9459, predictive_accuracy: 0.9477, prior_entropy: 0.2636, recall: 0.9477, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.064, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.9516, kappa: 0.3017, kb_relative_information_score: 317.706, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9572, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.9448, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9619, kappa: 0.4985, kb_relative_information_score: 369.4805, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9608, predictive_accuracy: 0.9658, prior_entropy: 0.2636, recall: 0.9658, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.9034, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.9552, kappa: 0.4644, kb_relative_information_score: 101.5262, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.9648, scimark_benchmark: 1744.8652, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9504, kappa: 0.4278, kb_relative_information_score: 31.1813, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9523, predictive_accuracy: 0.9488, prior_entropy: 0.2636, recall: 0.9488, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0842, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9552, kappa: 0.4644, kb_relative_information_score: 191.3733, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2115, root_relative_squared_error: 1.0338, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9595, kappa: 0.4672, kb_relative_information_score: 179.1215, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.958, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8715, scimark_benchmark: 1744.8652, usercpu_time_millis: 593.75, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.9611, kappa: 0.5299, kb_relative_information_score: 230.5958, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9607, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.8727, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.9515, kappa: 0.3547, kb_relative_information_score: 9.2115, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9487, predictive_accuracy: 0.9573, prior_entropy: 0.2636, recall: 0.9573, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.9549, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9535, kappa: 0.3338, kb_relative_information_score: -204.996, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.959, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.812, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.9468, kappa: 0.3525, kb_relative_information_score: 12.7289, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9459, predictive_accuracy: 0.9477, prior_entropy: 0.2636, recall: 0.9477, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.064, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9595, kappa: 0.4672, kb_relative_information_score: 179.1215, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.958, predictive_accuracy: 0.9637, prior_entropy: 0.2636, recall: 0.9637, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8715, scimark_benchmark: 1788.6668, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.956, kappa: 0.471, kb_relative_information_score: 113.6026, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9557, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.9689, scimark_benchmark: 1788.6668, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.9564, kappa: 0.4192, kb_relative_information_score: -49.8563, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9546, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.903, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.9483, kappa: 0.3164, kb_relative_information_score: 81.9245, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9449, predictive_accuracy: 0.9541, prior_entropy: 0.2636, recall: 0.9541, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.196, root_relative_squared_error: 0.958, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.9619, kappa: 0.4985, kb_relative_information_score: 24.4517, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9608, predictive_accuracy: 0.9658, prior_entropy: 0.2636, recall: 0.9658, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.8487, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.9564, kappa: 0.4093, kb_relative_information_score: -62.4617, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9555, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.8639, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9349, kb_relative_information_score: 214.157, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0226, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.9516, kappa: 0.3017, kb_relative_information_score: 317.706, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9572, predictive_accuracy: 0.9626, prior_entropy: 0.2636, recall: 0.9626, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.9448, scimark_benchmark: 1007.4053, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.9504, kappa: 0.4278, kb_relative_information_score: 31.1823, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9523, predictive_accuracy: 0.9488, prior_entropy: 0.2636, recall: 0.9488, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0842, scimark_benchmark: 960.7223, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.9506, kappa: 0.3813, kb_relative_information_score: 96.7891, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9486, predictive_accuracy: 0.953, prior_entropy: 0.2636, recall: 0.953, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.9758, scimark_benchmark: 843.0818, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.9363, kappa: 0.0397, kb_relative_information_score: 196.8988, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9299, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2117, root_relative_squared_error: 1.035, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.9363, kappa: 0.0397, kb_relative_information_score: 196.8988, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9299, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2117, root_relative_squared_error: 1.035, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9619, kappa: 0.4985, kb_relative_information_score: 369.4805, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9608, predictive_accuracy: 0.9658, prior_entropy: 0.2636, recall: 0.9658, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.9034, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.9619, kappa: 0.4985, kb_relative_information_score: 369.4805, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9608, predictive_accuracy: 0.9658, prior_entropy: 0.2636, recall: 0.9658, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.9034, scimark_benchmark: 1860.4354, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9509, kappa: 0.44, kb_relative_information_score: -270.4203, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9535, predictive_accuracy: 0.9488, prior_entropy: 0.2636, recall: 0.9488, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2073, root_relative_squared_error: 1.0136, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9509, kappa: 0.44, kb_relative_information_score: -270.4203, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9535, predictive_accuracy: 0.9488, prior_entropy: 0.2636, recall: 0.9488, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2073, root_relative_squared_error: 1.0136, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.8792, kappa: 0.1818, kb_relative_information_score: -2880.6974, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9419, predictive_accuracy: 0.8367, prior_entropy: 0.2636, recall: 0.8367, relative_absolute_error: 2.1645, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.7801, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.9381, kappa: 0.0782, kb_relative_information_score: -19.5762, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9337, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2059, root_relative_squared_error: 1.0067, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.9381, kappa: 0.0782, kb_relative_information_score: -19.5762, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9337, predictive_accuracy: 0.9552, prior_entropy: 0.2636, recall: 0.9552, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2059, root_relative_squared_error: 1.0067, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.9349, kb_relative_information_score: -20.6321, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9144, predictive_accuracy: 0.9562, prior_entropy: 0.2636, recall: 0.9562, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.2046, root_relative_squared_error: 1, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9548, kappa: 0.3829, kb_relative_information_score: -210.0866, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9537, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.8821, scimark_benchmark: 1860.4354, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9548, kappa: 0.3829, kb_relative_information_score: -210.0866, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9537, predictive_accuracy: 0.9616, prior_entropy: 0.2636, recall: 0.9616, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.8821, scimark_benchmark: 1860.4354, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,

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