Task
Supervised Classification on optdigits

Supervised Classification on optdigits

Task 3843 Supervised Classification optdigits 559 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_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

559 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.941, kappa: 0.6461, kb_relative_information_score: 2673.4864, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9459, predictive_accuracy: 0.9473, prior_entropy: 0.4751, recall: 0.9473, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9725, kappa: 0.8479, kb_relative_information_score: 4274.6529, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9723, predictive_accuracy: 0.9728, prior_entropy: 0.4751, recall: 0.9728, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9888, kappa: 0.9374, kb_relative_information_score: 4726.4233, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.4751, recall: 0.989, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9623, kappa: 0.7959, kb_relative_information_score: 2710.0125, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9628, predictive_accuracy: 0.9619, prior_entropy: 0.4751, recall: 0.9619, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9809, kappa: 0.8957, kb_relative_information_score: 4772.3196, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 0.4751, recall: 0.9808, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9957, kappa: 0.9766, kb_relative_information_score: 5440.5899, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.4751, recall: 0.9957, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9919, kappa: 0.9548, kb_relative_information_score: 5290.7356, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4751, recall: 0.992, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.2888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9758, kappa: 0.8695, kb_relative_information_score: 4268.7834, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9764, predictive_accuracy: 0.9754, prior_entropy: 0.4751, recall: 0.9754, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9902, kappa: 0.9459, kb_relative_information_score: 5163.4943, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.4751, recall: 0.9902, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9841, kappa: 0.9128, kb_relative_information_score: 4787.0434, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9841, predictive_accuracy: 0.9842, prior_entropy: 0.4751, recall: 0.9842, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9575, kappa: 0.7815, kb_relative_information_score: 3645.8899, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9628, predictive_accuracy: 0.9552, prior_entropy: 0.4751, recall: 0.9552, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9968, kappa: 0.9825, kb_relative_information_score: 5408.9601, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.4751, recall: 0.9968, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9431, kappa: 0.702, kb_relative_information_score: 2339.5432, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9468, predictive_accuracy: 0.9407, prior_entropy: 0.4751, recall: 0.9407, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9907, kappa: 0.9484, kb_relative_information_score: 5163.7393, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.4751, recall: 0.9907, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.3084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9861, kappa: 0.9227, kb_relative_information_score: 4649.541, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9861, predictive_accuracy: 0.9863, prior_entropy: 0.4751, recall: 0.9863, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9847, kappa: 0.9138, kb_relative_information_score: 4195.3305, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9854, predictive_accuracy: 0.9852, prior_entropy: 0.4751, recall: 0.9852, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.8501, kb_relative_information_score: -5.4409, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.8982, prior_entropy: 0.4751, recall: 0.8982, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3024, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9919, kappa: 0.9554, kb_relative_information_score: 5073.9314, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.4751, recall: 0.992, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9436, kappa: 0.6836, kb_relative_information_score: 2576.3664, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9428, predictive_accuracy: 0.9452, prior_entropy: 0.4751, recall: 0.9452, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.6708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9862, kappa: 0.9237, kb_relative_information_score: 4732.402, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9861, predictive_accuracy: 0.9863, prior_entropy: 0.4751, recall: 0.9863, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9763, kappa: 0.8675, kb_relative_information_score: 4670.7586, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9763, predictive_accuracy: 0.9769, prior_entropy: 0.4751, recall: 0.9769, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9799, kappa: 0.8891, kb_relative_information_score: 4733.2118, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9798, predictive_accuracy: 0.9801, prior_entropy: 0.4751, recall: 0.9801, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.95, kappa: 0.7479, kb_relative_information_score: 3332.7343, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9582, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.987, kappa: 0.9287, kb_relative_information_score: 5056.6751, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 0.4751, recall: 0.987, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9622, kappa: 0.7991, kb_relative_information_score: 3730.0323, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9639, predictive_accuracy: 0.9612, prior_entropy: 0.4751, recall: 0.9612, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9506, kappa: 0.7496, kb_relative_information_score: 3251.4111, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.958, predictive_accuracy: 0.9473, prior_entropy: 0.4751, recall: 0.9473, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.988, kappa: 0.9325, kb_relative_information_score: 4577.1848, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.4751, recall: 0.9883, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9799, kappa: 0.8891, kb_relative_information_score: 4733.2118, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9798, predictive_accuracy: 0.9801, prior_entropy: 0.4751, recall: 0.9801, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9596, kappa: 0.7915, kb_relative_information_score: 3601.0283, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9644, predictive_accuracy: 0.9575, prior_entropy: 0.4751, recall: 0.9575, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9841, kappa: 0.9113, kb_relative_information_score: 4975.7367, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9841, predictive_accuracy: 0.9843, prior_entropy: 0.4751, recall: 0.9843, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9457, kappa: 0.7051, kb_relative_information_score: 3385.4935, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9461, predictive_accuracy: 0.9454, prior_entropy: 0.4751, recall: 0.9454, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3331.3006, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9902, kappa: 0.9457, kb_relative_information_score: 4236.6046, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.4751, recall: 0.9904, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9863, kappa: 0.9236, kb_relative_information_score: 4201.1894, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.4751, recall: 0.9867, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.9708, kappa: 0.8415, kb_relative_information_score: 4416.6101, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9711, predictive_accuracy: 0.9706, prior_entropy: 0.4751, recall: 0.9706, relative_absolute_error: 0.1605, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9971, kappa: 0.9843, kb_relative_information_score: 5498.5565, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9971, predictive_accuracy: 0.9972, prior_entropy: 0.4751, recall: 0.9972, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1765, scimark_benchmark: 1280.301, usercpu_time_millis: 906.25, usercpu_time_millis_testing: 406.25, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9875, kappa: 0.9315, kb_relative_information_score: 5106.4417, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.4751, recall: 0.9875, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3691, scimark_benchmark: 1280.301, usercpu_time_millis: 4234.375, usercpu_time_millis_testing: 390.625, usercpu_time_millis_training: 3843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8509, kappa: 0.0063, kb_relative_information_score: 1475.7492, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0533, scimark_benchmark: 1461.2356, usercpu_time_millis: 43937.5, usercpu_time_millis_testing: 11687.5, usercpu_time_millis_training: 32250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 1461.2265, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.8982, prior_entropy: 0.4751, recall: 0.8982, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0551, scimark_benchmark: 1461.2356, usercpu_time_millis: 5500, usercpu_time_millis_testing: 2359.375, usercpu_time_millis_training: 3140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9894, kappa: 0.942, kb_relative_information_score: 5106.2064, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4751, recall: 0.9895, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3322, scimark_benchmark: 1787.9841, usercpu_time_millis: 54359.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 54281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9894, kappa: 0.942, kb_relative_information_score: 5106.2064, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4751, recall: 0.9895, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3322, scimark_benchmark: 1608.6597, usercpu_time_millis: 52800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 52780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8501, kb_relative_information_score: 1461.2265, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.8068, predictive_accuracy: 0.8982, prior_entropy: 0.4751, recall: 0.8982, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0551, scimark_benchmark: 1392.3293, usercpu_time_millis: 7310, usercpu_time_millis_testing: 2700, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8509, kappa: 0.0063, kb_relative_information_score: 1475.7492, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9089, predictive_accuracy: 0.8986, prior_entropy: 0.4751, recall: 0.8986, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.3185, root_relative_squared_error: 1.0533, scimark_benchmark: 1396.9855, usercpu_time_millis: 45110, usercpu_time_millis_testing: 12050, usercpu_time_millis_training: 33060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9971, kappa: 0.9843, kb_relative_information_score: 5498.5565, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9971, predictive_accuracy: 0.9972, prior_entropy: 0.4751, recall: 0.9972, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1765, scimark_benchmark: 1386.2452, usercpu_time_millis: 1940, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9875, kappa: 0.9312, kb_relative_information_score: 5080.1933, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.4751, recall: 0.9875, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3536, scimark_benchmark: 1671.2677, usercpu_time_millis: 65515.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 65468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9875, kappa: 0.9315, kb_relative_information_score: 5106.4417, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 0.4751, recall: 0.9875, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3691, scimark_benchmark: 1602.5058, usercpu_time_millis: 4890, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 4520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9954, kappa: 0.9747, kb_relative_information_score: 5362.1155, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.4751, recall: 0.9954, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2149, scimark_benchmark: 1362.5831, usercpu_time_millis: 139670, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 139530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9879, kappa: 0.9333, kb_relative_information_score: 5066.3384, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9878, predictive_accuracy: 0.9879, prior_entropy: 0.4751, recall: 0.9879, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3438, scimark_benchmark: 1060.9535, usercpu_time_millis: 7500, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 7421.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3331.3006, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7316, scimark_benchmark: 1313.3054, usercpu_time_millis: 350, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9885, kappa: 0.9363, kb_relative_information_score: 5047.6694, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.4751, recall: 0.9886, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.3402, scimark_benchmark: 1127.1447, usercpu_time_millis: 6660, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9881, kappa: 0.9348, kb_relative_information_score: 5026.0831, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3175, scimark_benchmark: 1331.705, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9964, kappa: 0.9805, kb_relative_information_score: 5466.1583, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4751, recall: 0.9964, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1973, scimark_benchmark: 1554.4746, usercpu_time_millis: 3580, usercpu_time_millis_testing: 3480, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9865, kappa: 0.9253, kb_relative_information_score: 4902.3586, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.4751, recall: 0.9867, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3352, scimark_benchmark: 1042.2654, usercpu_time_millis: 7400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9808, kappa: 0.8956, kb_relative_information_score: 4760.9397, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.9806, prior_entropy: 0.4751, recall: 0.9806, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4436, scimark_benchmark: 1007.0039, usercpu_time_millis: 2190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9808, kappa: 0.8956, kb_relative_information_score: 4760.9397, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.9806, prior_entropy: 0.4751, recall: 0.9806, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4436, scimark_benchmark: 1024.1986, usercpu_time_millis: 1710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9892, kappa: 0.9402, kb_relative_information_score: 5179.0555, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3417, scimark_benchmark: 1618.1738, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9888, kappa: 0.9384, kb_relative_information_score: 5157.2714, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.4751, recall: 0.9888, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3502, scimark_benchmark: 1618.1738, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9768, kappa: 0.8716, kb_relative_information_score: 4442.0066, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9767, predictive_accuracy: 0.977, prior_entropy: 0.4751, recall: 0.977, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4717, scimark_benchmark: 1925.3565, 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: 0.999, f_measure: 0.9885, kappa: 0.9358, kb_relative_information_score: 4580.0503, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9889, predictive_accuracy: 0.9888, prior_entropy: 0.4751, recall: 0.9888, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.101, root_relative_squared_error: 0.3342, scimark_benchmark: 1925.3565, usercpu_time_millis: 1515.625, usercpu_time_millis_testing: 125, usercpu_time_millis_training: 1390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.941, kappa: 0.6461, kb_relative_information_score: 2673.4864, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9459, predictive_accuracy: 0.9473, prior_entropy: 0.4751, recall: 0.9473, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6831, scimark_benchmark: 1925.3565, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9796, kappa: 0.8873, kb_relative_information_score: 4718.689, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.4751, recall: 0.9797, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4632, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.95, kappa: 0.7482, kb_relative_information_score: 3331.3006, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9584, predictive_accuracy: 0.9464, prior_entropy: 0.4751, recall: 0.9464, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7316, scimark_benchmark: 1925.3565, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 140.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9892, kappa: 0.9402, kb_relative_information_score: 5179.0555, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3417, scimark_benchmark: 1925.3565, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9888, kappa: 0.9384, kb_relative_information_score: 5157.2714, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.4751, recall: 0.9888, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3502, scimark_benchmark: 1925.3565, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9901, kappa: 0.9458, kb_relative_information_score: 5098.0875, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.4751, recall: 0.9902, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.3261, scimark_benchmark: 1925.3565, usercpu_time_millis: 4609.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 4578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9881, kappa: 0.9348, kb_relative_information_score: 5026.0833, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3175, 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: 0.9895, f_measure: 0.9964, kappa: 0.9805, kb_relative_information_score: 5466.1586, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4751, recall: 0.9964, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1973, scimark_benchmark: 1925.3565, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2656.25, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9865, kappa: 0.9253, kb_relative_information_score: 4902.3586, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.4751, recall: 0.9867, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3352, scimark_benchmark: 1892.0925, usercpu_time_millis: 3703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9804, kappa: 0.8921, kb_relative_information_score: 4763.0191, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9803, predictive_accuracy: 0.9804, prior_entropy: 0.4751, recall: 0.9804, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.4445, scimark_benchmark: 1892.0925, usercpu_time_millis: 1546.875, usercpu_time_millis_training: 1546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9764, kappa: 0.8696, kb_relative_information_score: 4429.384, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9763, predictive_accuracy: 0.9767, prior_entropy: 0.4751, recall: 0.9767, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4731, scimark_benchmark: 1892.0925, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9883, kappa: 0.9348, kb_relative_information_score: 4576.0138, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 0.4751, recall: 0.9886, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.3351, scimark_benchmark: 1892.0925, usercpu_time_millis: 1671.875, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 1468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.941, kappa: 0.6461, kb_relative_information_score: 2673.4864, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9459, predictive_accuracy: 0.9473, prior_entropy: 0.4751, recall: 0.9473, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6831, scimark_benchmark: 1892.0925, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9799, kappa: 0.8891, kb_relative_information_score: 4733.2118, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9798, predictive_accuracy: 0.9801, prior_entropy: 0.4751, recall: 0.9801, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4589, scimark_benchmark: 1892.0925, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9881, kappa: 0.9348, kb_relative_information_score: 5026.063, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3175, scimark_benchmark: 1834.908, usercpu_time_millis: 625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9809, kappa: 0.8957, kb_relative_information_score: 4772.3196, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 0.4751, recall: 0.9808, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4359, scimark_benchmark: 1834.908, usercpu_time_millis: 1484.375, usercpu_time_millis_training: 1484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9884, kappa: 0.9359, kb_relative_information_score: 5064.2804, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9883, predictive_accuracy: 0.9884, prior_entropy: 0.4751, recall: 0.9884, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3439, scimark_benchmark: 1834.908, usercpu_time_millis: 4515.625, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 4468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9865, kappa: 0.9253, kb_relative_information_score: 4902.3586, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.4751, recall: 0.9867, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3352, scimark_benchmark: 1834.908, usercpu_time_millis: 3437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9865, kappa: 0.9253, kb_relative_information_score: 4902.3586, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.4751, recall: 0.9867, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3352, scimark_benchmark: 1788.6668, usercpu_time_millis: 5812.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9811, kappa: 0.8953, kb_relative_information_score: 4556.087, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.9813, prior_entropy: 0.4751, recall: 0.9813, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.4042, scimark_benchmark: 1788.6668, usercpu_time_millis: 1375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9816, kappa: 0.8989, kb_relative_information_score: 4757.5553, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9815, predictive_accuracy: 0.9817, prior_entropy: 0.4751, recall: 0.9817, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.4317, scimark_benchmark: 1788.6668, usercpu_time_millis: 734.375, usercpu_time_millis_training: 734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9811, kappa: 0.8956, kb_relative_information_score: 4615.9946, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.9813, prior_entropy: 0.4751, recall: 0.9813, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4325, scimark_benchmark: 1788.6668, usercpu_time_millis: 2125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9842, kappa: 0.9131, kb_relative_information_score: 4557.3088, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9843, prior_entropy: 0.4751, recall: 0.9843, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3813, scimark_benchmark: 1788.6668, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9828, kappa: 0.9045, kb_relative_information_score: 4924.9071, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9828, predictive_accuracy: 0.9831, prior_entropy: 0.4751, recall: 0.9831, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.13, root_relative_squared_error: 0.43, scimark_benchmark: 1788.6668, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9892, kappa: 0.9402, kb_relative_information_score: 5179.0555, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9893, prior_entropy: 0.4751, recall: 0.9893, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.3417, scimark_benchmark: 1370.2466, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9881, kappa: 0.9348, kb_relative_information_score: 5026.063, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.4751, recall: 0.9881, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.096, root_relative_squared_error: 0.3175, scimark_benchmark: 1034.2567, usercpu_time_millis: 1080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9809, kappa: 0.8957, kb_relative_information_score: 4772.3196, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9809, predictive_accuracy: 0.9808, prior_entropy: 0.4751, recall: 0.9808, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4359, scimark_benchmark: 939.2658, usercpu_time_millis: 3430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9884, kappa: 0.9359, kb_relative_information_score: 4960.3991, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9883, predictive_accuracy: 0.9884, prior_entropy: 0.4751, recall: 0.9884, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3003, scimark_benchmark: 1447.2612, usercpu_time_millis: 5171.875, usercpu_time_millis_testing: 5015.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9874, kappa: 0.9317, kb_relative_information_score: 5082.4428, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9877, predictive_accuracy: 0.9872, prior_entropy: 0.4751, recall: 0.9872, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.3173, scimark_benchmark: 1840.6094, usercpu_time_millis: 3625, usercpu_time_millis_testing: 3406.25, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9963, kappa: 0.9797, kb_relative_information_score: 5460.5746, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.4751, recall: 0.9963, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.1765, scimark_benchmark: 1840.6094, usercpu_time_millis: 7125, usercpu_time_millis_testing: 7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.997, kappa: 0.9834, kb_relative_information_score: 5389.8384, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4751, recall: 0.997, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1737, scimark_benchmark: 1873.1108, usercpu_time_millis: 12359.375, usercpu_time_millis_testing: 12359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.99, kappa: 0.9447, kb_relative_information_score: 4950.1492, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.4751, recall: 0.99, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.2987, scimark_benchmark: 1873.1108, usercpu_time_millis: 3546.875, usercpu_time_millis_testing: 3375, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9964, kappa: 0.9805, kb_relative_information_score: 5411.2998, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.4751, recall: 0.9964, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1725, scimark_benchmark: 1873.1108, usercpu_time_millis: 11656.25, usercpu_time_millis_testing: 11656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9922, kappa: 0.9571, kb_relative_information_score: 5302.4991, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.4751, recall: 0.9923, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.0875, root_relative_squared_error: 0.2893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9842, kappa: 0.9125, kb_relative_information_score: 4975.7367, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9841, predictive_accuracy: 0.9843, prior_entropy: 0.4751, recall: 0.9843, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.4139, scimark_benchmark: 1870.7932, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9888, kappa: 0.9384, kb_relative_information_score: 5157.2714, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.4751, recall: 0.9888, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3502, scimark_benchmark: 1870.7932, usercpu_time_millis: 327.6021, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 312.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9769, kappa: 0.8721, kb_relative_information_score: 4441.7768, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9768, predictive_accuracy: 0.9772, prior_entropy: 0.4751, recall: 0.9772, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4689, scimark_benchmark: 1870.7932, usercpu_time_millis: 171.6011, usercpu_time_millis_training: 171.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9775, kappa: 0.8752, kb_relative_information_score: 4469.8508, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9773, predictive_accuracy: 0.9778, prior_entropy: 0.4751, recall: 0.9778, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4629, scimark_benchmark: 1870.7932, usercpu_time_millis: 109.2007, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.9414, kappa: 0.6464, kb_relative_information_score: 2733.2752, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.4751, recall: 0.9482, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6724, scimark_benchmark: 1870.7932, usercpu_time_millis: 218.4014, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 202.8013,

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