Task
Supervised Classification on spectrometer

Supervised Classification on spectrometer

Task 3817 Supervised Classification spectrometer 143 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 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

143 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.8475, kb_relative_information_score: -6.5861, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4472, f_measure: 0.7616, kappa: -0.0549, kb_relative_information_score: -753.8305, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8026, predictive_accuracy: 0.7269, prior_entropy: 0.4849, recall: 0.7269, relative_absolute_error: 1.7356, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.973, kappa: 0.8508, kb_relative_information_score: 341.3689, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9729, predictive_accuracy: 0.9736, prior_entropy: 0.4849, recall: 0.9736, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.854, kappa: 0.0666, kb_relative_information_score: -676.7434, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8416, predictive_accuracy: 0.8908, prior_entropy: 0.4849, recall: 0.8908, relative_absolute_error: 1.5078, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3647, root_relative_squared_error: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9606, kappa: 0.7887, kb_relative_information_score: 363.3131, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.9218, kappa: 0.5739, kb_relative_information_score: 188.4503, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.921, predictive_accuracy: 0.9228, prior_entropy: 0.4849, recall: 0.9228, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9498, kappa: 0.723, kb_relative_information_score: 354.7592, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9491, predictive_accuracy: 0.951, prior_entropy: 0.4849, recall: 0.951, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.6961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8573, kappa: 0.4465, kb_relative_information_score: -522.2133, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9256, predictive_accuracy: 0.8286, prior_entropy: 0.4849, recall: 0.8286, relative_absolute_error: 1.3945, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9582, kappa: 0.7732, kb_relative_information_score: 370.5273, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.958, predictive_accuracy: 0.9586, prior_entropy: 0.4849, recall: 0.9586, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.188, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9386, kappa: 0.6732, kb_relative_information_score: 295.5231, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9394, predictive_accuracy: 0.9379, prior_entropy: 0.4849, recall: 0.9379, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9055, kappa: 0.5899, kb_relative_information_score: 88.0178, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9425, predictive_accuracy: 0.8908, prior_entropy: 0.4849, recall: 0.8908, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3174, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.9229, kappa: 0.5661, kb_relative_information_score: 158.381, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.921, predictive_accuracy: 0.9266, prior_entropy: 0.4849, recall: 0.9266, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8822, kappa: 0.5198, kb_relative_information_score: -1.2792, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9359, predictive_accuracy: 0.8606, prior_entropy: 0.4849, recall: 0.8606, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3697, root_relative_squared_error: 1.2134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.9585, kappa: 0.7664, kb_relative_information_score: 368.8537, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9588, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9614, kappa: 0.7869, kb_relative_information_score: 321.4308, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.961, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8475, kb_relative_information_score: 159.1835, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.7731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.8475, kb_relative_information_score: -6.5861, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9519, kappa: 0.7358, kb_relative_information_score: 280.6905, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9513, predictive_accuracy: 0.9529, prior_entropy: 0.4849, recall: 0.9529, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9719, kappa: 0.8491, kb_relative_information_score: 353.1405, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.972, predictive_accuracy: 0.9718, prior_entropy: 0.4849, recall: 0.9718, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.7649, kb_relative_information_score: 300.0255, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9563, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9481, kappa: 0.7147, kb_relative_information_score: 327.1364, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9474, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8573, kappa: 0.4465, kb_relative_information_score: -120.9076, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9256, predictive_accuracy: 0.8286, prior_entropy: 0.4849, recall: 0.8286, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.3574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.9563, kappa: 0.7531, kb_relative_information_score: 371.2017, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9567, predictive_accuracy: 0.9586, prior_entropy: 0.4849, recall: 0.9586, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9599, kappa: 0.7714, kb_relative_information_score: 238.1325, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9613, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.961, kappa: 0.7832, kb_relative_information_score: 385.2711, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9608, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9481, kappa: 0.7147, kb_relative_information_score: 327.1364, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9474, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8967, kappa: 0.5622, kb_relative_information_score: 73.0642, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9398, predictive_accuracy: 0.8795, prior_entropy: 0.4849, recall: 0.8795, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3427, root_relative_squared_error: 1.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.9286, kappa: 0.5725, kb_relative_information_score: 293.8199, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9354, predictive_accuracy: 0.9379, prior_entropy: 0.4849, recall: 0.9379, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8638, kappa: 0.4759, kb_relative_information_score: -93.4271, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9341, predictive_accuracy: 0.8362, prior_entropy: 0.4849, recall: 0.8362, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.3188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.8878, kappa: 0.2849, kb_relative_information_score: 209.4034, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9226, predictive_accuracy: 0.9153, prior_entropy: 0.4849, recall: 0.9153, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8601, kappa: 0.4534, kb_relative_information_score: -110.1779, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9262, predictive_accuracy: 0.8324, prior_entropy: 0.4849, recall: 0.8324, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9481, kappa: 0.7147, kb_relative_information_score: 316.3839, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9474, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.6982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9452, kappa: 0.7035, kb_relative_information_score: 321.7311, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.4849, recall: 0.9454, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.9498, kappa: 0.723, kb_relative_information_score: 334.8183, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9491, predictive_accuracy: 0.951, prior_entropy: 0.4849, recall: 0.951, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.9153, kappa: 0.555, kb_relative_information_score: 204.22, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9177, predictive_accuracy: 0.9134, prior_entropy: 0.4849, recall: 0.9134, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.9563, kappa: 0.7531, kb_relative_information_score: 371.2017, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9567, predictive_accuracy: 0.9586, prior_entropy: 0.4849, recall: 0.9586, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.8475, kb_relative_information_score: 6.3147, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9531, kappa: 0.7485, kb_relative_information_score: 278.5778, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9533, predictive_accuracy: 0.9529, prior_entropy: 0.4849, recall: 0.9529, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.9452, kappa: 0.7035, kb_relative_information_score: 321.9588, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.4849, recall: 0.9454, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9719, kappa: 0.8491, kb_relative_information_score: 420.4447, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.972, predictive_accuracy: 0.9718, prior_entropy: 0.4849, recall: 0.9718, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5516, scimark_benchmark: 1280.301, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9732, kappa: 0.8533, kb_relative_information_score: 427.4794, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.973, predictive_accuracy: 0.9736, prior_entropy: 0.4849, recall: 0.9736, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5329, scimark_benchmark: 1280.301, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8475, kb_relative_information_score: 139.0564, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.0562, scimark_benchmark: 1461.2356, usercpu_time_millis: 1593.75, usercpu_time_millis_testing: 828.125, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8475, kb_relative_information_score: 139.0564, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.0562, scimark_benchmark: 1461.2356, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9794, kappa: 0.8893, kb_relative_information_score: 427.9426, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9795, predictive_accuracy: 0.9793, prior_entropy: 0.4849, recall: 0.9793, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4467, scimark_benchmark: 1787.9841, usercpu_time_millis: 7593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9794, kappa: 0.8893, kb_relative_information_score: 427.9426, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9795, predictive_accuracy: 0.9793, prior_entropy: 0.4849, recall: 0.9793, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4467, scimark_benchmark: 1643.3641, usercpu_time_millis: 7660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8475, kb_relative_information_score: 139.0564, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.0562, scimark_benchmark: 1382.2516, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8475, kb_relative_information_score: 139.0564, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.0562, scimark_benchmark: 1374.9164, usercpu_time_millis: 720, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9719, kappa: 0.8491, kb_relative_information_score: 420.4447, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.972, predictive_accuracy: 0.9718, prior_entropy: 0.4849, recall: 0.9718, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5516, scimark_benchmark: 1608.7491, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9684, kappa: 0.8317, kb_relative_information_score: 378.9196, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9689, predictive_accuracy: 0.968, prior_entropy: 0.4849, recall: 0.968, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5138, scimark_benchmark: 1671.2677, usercpu_time_millis: 9437.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 9406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9732, kappa: 0.8533, kb_relative_information_score: 427.4794, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.973, predictive_accuracy: 0.9736, prior_entropy: 0.4849, recall: 0.9736, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.5329, scimark_benchmark: 1540.7851, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9623, kappa: 0.7972, kb_relative_information_score: 373.5428, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5786, scimark_benchmark: 1550.1493, usercpu_time_millis: 29740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 29710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9581, kappa: 0.7825, kb_relative_information_score: 338.6875, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9607, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5326, scimark_benchmark: 1060.9535, usercpu_time_millis: 1140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8573, kappa: 0.4465, kb_relative_information_score: -117.3984, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9256, predictive_accuracy: 0.8286, prior_entropy: 0.4849, recall: 0.8286, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.413, root_relative_squared_error: 1.3552, scimark_benchmark: 1368.7821, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9699, kappa: 0.8377, kb_relative_information_score: 389.952, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.4849, recall: 0.9699, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4974, scimark_benchmark: 1322.327, usercpu_time_millis: 1090, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.9153, kappa: 0.555, kb_relative_information_score: 204.22, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9177, predictive_accuracy: 0.9134, prior_entropy: 0.4849, recall: 0.9134, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9516, scimark_benchmark: 1281.2797, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.9108, kappa: 0.5366, kb_relative_information_score: 178.5772, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9147, predictive_accuracy: 0.9077, prior_entropy: 0.4849, recall: 0.9077, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9949, scimark_benchmark: 1303.1095, usercpu_time_millis: 250, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9544, kappa: 0.7526, kb_relative_information_score: 358.8196, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9541, predictive_accuracy: 0.9548, prior_entropy: 0.4849, recall: 0.9548, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6574, scimark_benchmark: 1064.2008, usercpu_time_millis: 2080, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9473, kappa: 0.716, kb_relative_information_score: 316.6331, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.4849, recall: 0.9473, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7197, scimark_benchmark: 606.1253, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.9455, kappa: 0.6886, kb_relative_information_score: 336.0282, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9461, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.74, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9506, kappa: 0.7219, kb_relative_information_score: 350.0976, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9504, predictive_accuracy: 0.9529, prior_entropy: 0.4849, recall: 0.9529, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7121, scimark_benchmark: 1618.1738, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.9554, kappa: 0.7528, kb_relative_information_score: 319.2655, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9549, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.6282, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.961, kappa: 0.7832, kb_relative_information_score: 284.5131, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9608, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.5456, scimark_benchmark: 1925.3565, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.8475, kb_relative_information_score: -6.5861, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0001, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9493, kappa: 0.7182, kb_relative_information_score: 334.8351, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9487, predictive_accuracy: 0.951, prior_entropy: 0.4849, recall: 0.951, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7099, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8573, kappa: 0.4465, kb_relative_information_score: -117.3984, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9256, predictive_accuracy: 0.8286, prior_entropy: 0.4849, recall: 0.8286, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.413, root_relative_squared_error: 1.3552, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.9455, kappa: 0.6886, kb_relative_information_score: 336.0282, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9461, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.74, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.9506, kappa: 0.7219, kb_relative_information_score: 350.0976, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9504, predictive_accuracy: 0.9529, prior_entropy: 0.4849, recall: 0.9529, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7121, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9618, kappa: 0.8014, kb_relative_information_score: 356.5245, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9642, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.5956, scimark_benchmark: 1925.3565, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.9153, kappa: 0.555, kb_relative_information_score: 204.22, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9177, predictive_accuracy: 0.9134, prior_entropy: 0.4849, recall: 0.9134, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9516, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.9108, kappa: 0.5366, kb_relative_information_score: 178.5772, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9147, predictive_accuracy: 0.9077, prior_entropy: 0.4849, recall: 0.9077, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9949, scimark_benchmark: 1925.3565, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9544, kappa: 0.7526, kb_relative_information_score: 358.8196, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9541, predictive_accuracy: 0.9548, prior_entropy: 0.4849, recall: 0.9548, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6574, scimark_benchmark: 1892.0925, usercpu_time_millis: 1203.125, usercpu_time_millis_training: 1203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9565, kappa: 0.7649, kb_relative_information_score: 347.6707, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9563, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.6722, scimark_benchmark: 1892.0925, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9532, kappa: 0.7399, kb_relative_information_score: 305.9474, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9527, predictive_accuracy: 0.9548, prior_entropy: 0.4849, recall: 0.9548, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.6402, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9649, kappa: 0.8049, kb_relative_information_score: 286.2258, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9649, predictive_accuracy: 0.9661, prior_entropy: 0.4849, recall: 0.9661, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5413, scimark_benchmark: 1892.0925, 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: 0.4747, f_measure: 0.8475, kb_relative_information_score: -6.5861, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0001, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9498, kappa: 0.723, kb_relative_information_score: 335.0527, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9491, predictive_accuracy: 0.951, prior_entropy: 0.4849, recall: 0.951, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.7113, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.9153, kappa: 0.555, kb_relative_information_score: 204.22, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9177, predictive_accuracy: 0.9134, prior_entropy: 0.4849, recall: 0.9134, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9516, scimark_benchmark: 1834.908, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9606, kappa: 0.7887, kb_relative_information_score: 363.3131, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9608, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6286, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.9415, kappa: 0.6656, kb_relative_information_score: 178.1059, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9417, predictive_accuracy: 0.9454, prior_entropy: 0.4849, recall: 0.9454, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.7335, scimark_benchmark: 1834.908, usercpu_time_millis: 4281.25, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 3906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9561, kappa: 0.761, kb_relative_information_score: 363.3885, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6559, scimark_benchmark: 1834.908, usercpu_time_millis: 1218.75, usercpu_time_millis_training: 1218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9561, kappa: 0.761, kb_relative_information_score: 363.3885, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6559, scimark_benchmark: 1788.6668, usercpu_time_millis: 1296.875, usercpu_time_millis_training: 1296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.975, kappa: 0.8626, kb_relative_information_score: 417.2008, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9749, predictive_accuracy: 0.9755, prior_entropy: 0.4849, recall: 0.9755, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.4947, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.96, kappa: 0.7818, kb_relative_information_score: 364.8953, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9596, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6411, 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: 0.9925, f_measure: 0.9688, kappa: 0.8368, kb_relative_information_score: 379.9481, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9704, predictive_accuracy: 0.968, prior_entropy: 0.4849, recall: 0.968, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4891, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.977, kappa: 0.8743, kb_relative_information_score: 433.5288, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9769, predictive_accuracy: 0.9774, prior_entropy: 0.4849, recall: 0.9774, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.4228, 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: 0.5636, f_measure: 0.8768, kappa: 0.2073, kb_relative_information_score: 188.2993, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9179, predictive_accuracy: 0.9096, prior_entropy: 0.4849, recall: 0.9096, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.9867, 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: 0.8028, f_measure: 0.9455, kappa: 0.6886, kb_relative_information_score: 336.0282, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9461, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.74, scimark_benchmark: 1491.8081, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9593, kappa: 0.7743, kb_relative_information_score: 378.2364, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9589, predictive_accuracy: 0.9605, prior_entropy: 0.4849, recall: 0.9605, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6526, scimark_benchmark: 1860.4354, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.9541, kappa: 0.7395, kb_relative_information_score: 364.167, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9547, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.683, scimark_benchmark: 1860.4354, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9051, kappa: 0.5852, kb_relative_information_score: 114.3691, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9404, predictive_accuracy: 0.8908, prior_entropy: 0.4849, recall: 0.8908, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9886, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8573, kappa: 0.4465, kb_relative_information_score: -120.2506, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9256, predictive_accuracy: 0.8286, prior_entropy: 0.4849, recall: 0.8286, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.3571, scimark_benchmark: 1860.4354, 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: 0.9664, f_measure: 0.9051, kappa: 0.5852, kb_relative_information_score: 114.095, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9404, predictive_accuracy: 0.8908, prior_entropy: 0.4849, recall: 0.8908, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.301, root_relative_squared_error: 0.9879, 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: 0.4747, f_measure: 0.8475, kb_relative_information_score: -6.5861, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.0001, 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: 0.991, f_measure: 0.9646, kappa: 0.8015, kb_relative_information_score: 360.2509, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.965, predictive_accuracy: 0.9661, prior_entropy: 0.4849, recall: 0.9661, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4892, 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: 0.989, f_measure: 0.9599, kappa: 0.7714, kb_relative_information_score: 238.1325, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9613, predictive_accuracy: 0.9623, prior_entropy: 0.4849, recall: 0.9623, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.579, 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: 0.9028, f_measure: 0.9471, kappa: 0.7048, kb_relative_information_score: 302.0997, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.9465, predictive_accuracy: 0.9492, prior_entropy: 0.4849, recall: 0.9492, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6665, 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: 0.4747, f_measure: 0.8475, kb_relative_information_score: 2.0487, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.8036, predictive_accuracy: 0.8964, prior_entropy: 0.4849, recall: 0.8964, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0001, 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: 0.885, f_measure: 0.9569, kappa: 0.7686, kb_relative_information_score: 361.157, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1869, number_of_instances: 531, precision: 0.957, predictive_accuracy: 0.9567, prior_entropy: 0.4849, recall: 0.9567, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.3047, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6816, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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