Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

99484 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9521, kappa: 0.8994, kb_relative_information_score: 3666.5626, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4073, scimark_benchmark: 1245.37, usercpu_time_millis: 551.876, usercpu_time_millis_testing: 24.219, usercpu_time_millis_training: 527.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9375, kappa: 0.8687, kb_relative_information_score: 3284.6765, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.938, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.477, scimark_benchmark: 1242.4399, usercpu_time_millis: 112.629, usercpu_time_millis_testing: 5.166, usercpu_time_millis_training: 107.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9499, kappa: 0.8948, kb_relative_information_score: 3669.2585, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9674, recall: 0.95, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4106, scimark_benchmark: 1223.5051, usercpu_time_millis: 359.063, usercpu_time_millis_testing: 16.317, usercpu_time_millis_training: 342.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9453, kappa: 0.8851, kb_relative_information_score: 3623.2538, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9455, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4325, scimark_benchmark: 1245.8726, usercpu_time_millis: 40.262, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 39.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9498, kappa: 0.8947, kb_relative_information_score: 3538.3691, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9501, predictive_accuracy: 0.95, prior_entropy: 0.9674, recall: 0.95, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4255, scimark_benchmark: 1238.4935, usercpu_time_millis: 189.791, usercpu_time_millis_testing: 13.027, usercpu_time_millis_training: 176.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9533, kappa: 0.902, kb_relative_information_score: 3656.7812, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4094, scimark_benchmark: 1241.8016, usercpu_time_millis: 21.435, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 20.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9323, kappa: 0.8575, kb_relative_information_score: 3110.5365, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.9674, recall: 0.9326, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5137, scimark_benchmark: 1251.2701, usercpu_time_millis: 157.904, usercpu_time_millis_testing: 8.485, usercpu_time_millis_training: 149.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9419, kappa: 0.8777, kb_relative_information_score: 3164.347, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9425, predictive_accuracy: 0.9422, prior_entropy: 0.9674, recall: 0.9422, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.4847, scimark_benchmark: 1244.2719, usercpu_time_millis: 94.213, usercpu_time_millis_testing: 8.102, usercpu_time_millis_training: 86.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.943, kappa: 0.8802, kb_relative_information_score: 3299.922, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.3219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4656, scimark_benchmark: 1250.8928, usercpu_time_millis: 21.973, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 20.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9304, kappa: 0.8534, kb_relative_information_score: 2803.9947, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9315, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5503, scimark_benchmark: 1249.5786, usercpu_time_millis: 163.351, usercpu_time_millis_testing: 10.835, usercpu_time_millis_training: 152.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.911, kappa: 0.8123, kb_relative_information_score: 2120.294, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9132, predictive_accuracy: 0.912, prior_entropy: 0.9674, recall: 0.912, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6605, scimark_benchmark: 1242.1705, usercpu_time_millis: 16.017, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 14.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9387, kappa: 0.8711, kb_relative_information_score: 3207.3586, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.939, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4834, scimark_benchmark: 1242.713, usercpu_time_millis: 230.423, usercpu_time_millis_testing: 15.883, usercpu_time_millis_training: 214.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9373, kappa: 0.8682, kb_relative_information_score: 3379.0509, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4695, scimark_benchmark: 1229.7284, usercpu_time_millis: 304.064, usercpu_time_millis_testing: 12.294, usercpu_time_millis_training: 291.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9422, kappa: 0.8785, kb_relative_information_score: 3517.7243, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9674, recall: 0.9424, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4399, scimark_benchmark: 1251.3238, usercpu_time_millis: 246.293, usercpu_time_millis_testing: 13.583, usercpu_time_millis_training: 232.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9259, kappa: 0.8442, kb_relative_information_score: 2866.8733, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9264, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5557, scimark_benchmark: 1248.0723, usercpu_time_millis: 11.05, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 10.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3419.9095, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4696, scimark_benchmark: 1244.1959, usercpu_time_millis: 453.539, usercpu_time_millis_testing: 11.363, usercpu_time_millis_training: 442.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.937, kappa: 0.8675, kb_relative_information_score: 2992.8807, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.515, scimark_benchmark: 1246.7625, usercpu_time_millis: 146.621, usercpu_time_millis_testing: 13.985, usercpu_time_millis_training: 132.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9399, kappa: 0.8738, kb_relative_information_score: 3130.7415, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4945, scimark_benchmark: 1243.5223, usercpu_time_millis: 8.574, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 7.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9236, kappa: 0.8393, kb_relative_information_score: 2602.2647, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9245, predictive_accuracy: 0.9241, prior_entropy: 0.9674, recall: 0.9241, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5872, scimark_benchmark: 1215.9341, usercpu_time_millis: 29.503, usercpu_time_millis_testing: 2.101, usercpu_time_millis_training: 27.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9417, kappa: 0.8773, kb_relative_information_score: 3236.5133, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9423, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.4725, scimark_benchmark: 1229.5668, usercpu_time_millis: 70.578, usercpu_time_millis_testing: 4.507, usercpu_time_millis_training: 66.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.946, kappa: 0.8866, kb_relative_information_score: 3659.5866, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4261, scimark_benchmark: 1227.3212, usercpu_time_millis: 499.835, usercpu_time_millis_testing: 13.093, usercpu_time_millis_training: 486.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.947, kappa: 0.8888, kb_relative_information_score: 3618.7344, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4272, scimark_benchmark: 1214.3103, usercpu_time_millis: 390.086, usercpu_time_millis_testing: 14.753, usercpu_time_millis_training: 375.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9475, kappa: 0.8898, kb_relative_information_score: 3641.9541, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4233, scimark_benchmark: 1232.2981, usercpu_time_millis: 8.872, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 8.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9289, kappa: 0.8505, kb_relative_information_score: 3056.3905, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5277, scimark_benchmark: 1222.0232, usercpu_time_millis: 26.713, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 25.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9386, kappa: 0.8709, kb_relative_information_score: 3180.668, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9392, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4864, scimark_benchmark: 1236.9598, usercpu_time_millis: 16.275, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 14.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9118, kappa: 0.8149, kb_relative_information_score: 2498.3851, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9118, predictive_accuracy: 0.912, prior_entropy: 0.9674, recall: 0.912, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6105, scimark_benchmark: 1250.1575, usercpu_time_millis: 86.667, usercpu_time_millis_testing: 5.458, usercpu_time_millis_training: 81.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9382, kappa: 0.87, kb_relative_information_score: 3482.9778, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9674, recall: 0.9385, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4572, scimark_benchmark: 1236.7088, usercpu_time_millis: 506.471, usercpu_time_millis_testing: 11.913, usercpu_time_millis_training: 494.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8517, kappa: 0.6861, kb_relative_information_score: 1600.776, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.872, predictive_accuracy: 0.8576, prior_entropy: 0.9674, recall: 0.8576, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7506, scimark_benchmark: 1240.0872, usercpu_time_millis: 39.615, usercpu_time_millis_testing: 3.397, usercpu_time_millis_training: 36.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9171, kappa: 0.8252, kb_relative_information_score: 2276.9504, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9188, predictive_accuracy: 0.9178, prior_entropy: 0.9674, recall: 0.9178, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6351, scimark_benchmark: 1253.7139, usercpu_time_millis: 58.607, usercpu_time_millis_testing: 5.902, usercpu_time_millis_training: 52.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9257, kappa: 0.8436, kb_relative_information_score: 2572.9799, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9263, prior_entropy: 0.9674, recall: 0.9263, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5869, scimark_benchmark: 1250.717, usercpu_time_millis: 20.977, usercpu_time_millis_testing: 1.341, usercpu_time_millis_training: 19.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9485, kappa: 0.892, kb_relative_information_score: 3628.2881, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9674, recall: 0.9487, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4199, scimark_benchmark: 1236.8318, usercpu_time_millis: 328.611, usercpu_time_millis_testing: 11.791, usercpu_time_millis_training: 316.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9462, kappa: 0.887, kb_relative_information_score: 3683.5385, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4203, scimark_benchmark: 1238.8525, usercpu_time_millis: 628.706, usercpu_time_millis_testing: 13.802, usercpu_time_millis_training: 614.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9223, kappa: 0.8367, kb_relative_information_score: 2976.302, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 0.9674, recall: 0.9226, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5468, scimark_benchmark: 1240.4608, usercpu_time_millis: 3.409, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 3.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8922, kappa: 0.7735, kb_relative_information_score: 2385.1659, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8923, predictive_accuracy: 0.8926, prior_entropy: 0.9674, recall: 0.8926, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6433, scimark_benchmark: 1230.9693, usercpu_time_millis: 2.176, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9457, kappa: 0.8858, kb_relative_information_score: 3525.6615, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4338, scimark_benchmark: 1236.8381, usercpu_time_millis: 335.767, usercpu_time_millis_testing: 15.861, usercpu_time_millis_training: 319.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9302, kappa: 0.8532, kb_relative_information_score: 2949.0561, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.931, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5346, scimark_benchmark: 1252.0471, usercpu_time_millis: 96.228, usercpu_time_millis_testing: 3.87, usercpu_time_millis_training: 92.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9293, kappa: 0.8513, kb_relative_information_score: 3032.7109, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9302, predictive_accuracy: 0.9298, prior_entropy: 0.9674, recall: 0.9298, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5276, scimark_benchmark: 1225.2323, usercpu_time_millis: 145.691, usercpu_time_millis_testing: 6.996, usercpu_time_millis_training: 138.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9455, kappa: 0.8856, kb_relative_information_score: 3606.8237, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4294, scimark_benchmark: 1222.7586, usercpu_time_millis: 513.424, usercpu_time_millis_testing: 19.229, usercpu_time_millis_training: 494.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8449, kappa: 0.6718, kb_relative_information_score: 1407.408, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8733, predictive_accuracy: 0.8524, prior_entropy: 0.9674, recall: 0.8524, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7771, scimark_benchmark: 1237.3775, usercpu_time_millis: 56.988, usercpu_time_millis_testing: 5.528, usercpu_time_millis_training: 51.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9226, kappa: 0.8368, kb_relative_information_score: 2361.9417, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9243, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6205, scimark_benchmark: 1241.729, usercpu_time_millis: 47.045, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 43.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9362, kappa: 0.866, kb_relative_information_score: 3328.4709, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9367, predictive_accuracy: 0.9365, prior_entropy: 0.9674, recall: 0.9365, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.4782, scimark_benchmark: 1242.3977, usercpu_time_millis: 113.564, usercpu_time_millis_testing: 7.897, usercpu_time_millis_training: 105.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9162, kappa: 0.8231, kb_relative_information_score: 2447.2032, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.9174, prior_entropy: 0.9674, recall: 0.9174, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6032, scimark_benchmark: 1247.7854, usercpu_time_millis: 53.769, usercpu_time_millis_testing: 5.222, usercpu_time_millis_training: 48.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9302, kappa: 0.8532, kb_relative_information_score: 3220.4382, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9311, predictive_accuracy: 0.9307, prior_entropy: 0.9674, recall: 0.9307, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.5056, scimark_benchmark: 1233.2672, usercpu_time_millis: 566.842, usercpu_time_millis_testing: 11.891, usercpu_time_millis_training: 554.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9497, kappa: 0.8944, kb_relative_information_score: 3724.811, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4112, scimark_benchmark: 1243.3107, usercpu_time_millis: 524.648, usercpu_time_millis_testing: 14.235, usercpu_time_millis_training: 510.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9212, kappa: 0.8336, kb_relative_information_score: 2586.9215, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9247, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5804, scimark_benchmark: 1244.6696, usercpu_time_millis: 18.509, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 16.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8996, kappa: 0.7894, kb_relative_information_score: 2324.0578, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8996, predictive_accuracy: 0.8998, prior_entropy: 0.9674, recall: 0.8998, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6424, scimark_benchmark: 1239.6277, usercpu_time_millis: 54.73, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 50.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9334, kappa: 0.8599, kb_relative_information_score: 3368.4693, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4777, scimark_benchmark: 1258.1362, usercpu_time_millis: 73.034, usercpu_time_millis_testing: 1.998, usercpu_time_millis_training: 71.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9457, kappa: 0.8859, kb_relative_information_score: 3572.1916, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4324, scimark_benchmark: 1255.1527, usercpu_time_millis: 395.127, usercpu_time_millis_testing: 16.127, usercpu_time_millis_training: 379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9386, kappa: 0.871, kb_relative_information_score: 3509.2897, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9391, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4524, scimark_benchmark: 1245.7337, usercpu_time_millis: 234.484, usercpu_time_millis_testing: 6.66, usercpu_time_millis_training: 227.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9433, kappa: 0.8809, kb_relative_information_score: 3535.5098, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9435, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4406, scimark_benchmark: 1242.9834, usercpu_time_millis: 19.804, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 19.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9371, kappa: 0.8678, kb_relative_information_score: 3126.9002, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.4976, scimark_benchmark: 1245.2408, usercpu_time_millis: 149.97, usercpu_time_millis_testing: 10.576, usercpu_time_millis_training: 139.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9404, kappa: 0.8748, kb_relative_information_score: 3419.4333, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9408, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4524, scimark_benchmark: 1245.1694, usercpu_time_millis: 87.539, usercpu_time_millis_testing: 4.936, usercpu_time_millis_training: 82.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9389, kappa: 0.8715, kb_relative_information_score: 3450.7744, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 0.9674, recall: 0.9391, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4526, scimark_benchmark: 1250.0039, usercpu_time_millis: 222.428, usercpu_time_millis_testing: 12.224, usercpu_time_millis_training: 210.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9386, kappa: 0.871, kb_relative_information_score: 3450.8285, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9391, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4555, scimark_benchmark: 1239.1251, usercpu_time_millis: 51.136, usercpu_time_millis_testing: 2.013, usercpu_time_millis_training: 49.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9289, kappa: 0.8504, kb_relative_information_score: 2922.6064, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9298, predictive_accuracy: 0.9294, prior_entropy: 0.9674, recall: 0.9294, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5388, scimark_benchmark: 1253.4344, usercpu_time_millis: 215.452, usercpu_time_millis_testing: 10.21, usercpu_time_millis_training: 205.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3721.5763, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9491, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4097, scimark_benchmark: 1252.5174, usercpu_time_millis: 418.674, usercpu_time_millis_testing: 11.917, usercpu_time_millis_training: 406.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9349, kappa: 0.8631, kb_relative_information_score: 3130.193, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9355, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.5012, scimark_benchmark: 1246.0477, usercpu_time_millis: 243.215, usercpu_time_millis_testing: 13.054, usercpu_time_millis_training: 230.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9246, kappa: 0.8414, kb_relative_information_score: 2742.2568, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9674, recall: 0.925, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5694, scimark_benchmark: 1242.1445, usercpu_time_millis: 6.142, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 5.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9382, kappa: 0.87, kb_relative_information_score: 3210.9124, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9674, recall: 0.9385, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.486, scimark_benchmark: 1243.9622, usercpu_time_millis: 138.596, usercpu_time_millis_testing: 10.677, usercpu_time_millis_training: 127.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.953, kappa: 0.9014, kb_relative_information_score: 3824.3781, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.9674, recall: 0.9531, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3977, scimark_benchmark: 1251.9576, usercpu_time_millis: 666.03, usercpu_time_millis_testing: 13.718, usercpu_time_millis_training: 652.312,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9345, kappa: 0.8622, kb_relative_information_score: 3380.8536, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9349, predictive_accuracy: 0.9348, prior_entropy: 0.9674, recall: 0.9348, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4781, scimark_benchmark: 1244.8449, usercpu_time_millis: 357.293, usercpu_time_millis_testing: 11.856, usercpu_time_millis_training: 345.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9307, kappa: 0.8543, kb_relative_information_score: 3208.9841, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9313, predictive_accuracy: 0.9311, prior_entropy: 0.9674, recall: 0.9311, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5065, scimark_benchmark: 1233.5912, usercpu_time_millis: 185.959, usercpu_time_millis_testing: 9.983, usercpu_time_millis_training: 175.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9397, kappa: 0.8734, kb_relative_information_score: 3330.7106, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4659, scimark_benchmark: 1247.6969, usercpu_time_millis: 161.902, usercpu_time_millis_testing: 11.556, usercpu_time_millis_training: 150.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9203, kappa: 0.832, kb_relative_information_score: 2281.6944, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9223, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6313, scimark_benchmark: 1252.6129, usercpu_time_millis: 28.804, usercpu_time_millis_testing: 2.37, usercpu_time_millis_training: 26.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4573, kb_relative_information_score: 0.1684, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1248.0137, usercpu_time_millis: 29.584, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 26.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9413, kappa: 0.8766, kb_relative_information_score: 3421.8674, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4567, scimark_benchmark: 1244.6286, usercpu_time_millis: 243.071, usercpu_time_millis_testing: 9.749, usercpu_time_millis_training: 233.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9479, kappa: 0.8907, kb_relative_information_score: 3680.1291, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.9674, recall: 0.9481, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4142, scimark_benchmark: 1248.4478, usercpu_time_millis: 523.456, usercpu_time_millis_testing: 15.118, usercpu_time_millis_training: 508.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9252, kappa: 0.8425, kb_relative_information_score: 2721.5729, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5717, scimark_benchmark: 1210.0303, usercpu_time_millis: 117.402, usercpu_time_millis_testing: 5.981, usercpu_time_millis_training: 111.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9373, kappa: 0.8682, kb_relative_information_score: 3152.856, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9378, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4922, scimark_benchmark: 1219.7426, usercpu_time_millis: 172.351, usercpu_time_millis_testing: 10.258, usercpu_time_millis_training: 162.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9459, kappa: 0.8865, kb_relative_information_score: 3651.711, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4277, scimark_benchmark: 1230.2076, usercpu_time_millis: 673.445, usercpu_time_millis_testing: 17.765, usercpu_time_millis_training: 655.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9338, kappa: 0.8608, kb_relative_information_score: 3377.3338, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9343, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4822, scimark_benchmark: 1242.3037, usercpu_time_millis: 66.128, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 63.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9462, kappa: 0.887, kb_relative_information_score: 3664.2034, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9463, predictive_accuracy: 0.9463, prior_entropy: 0.9674, recall: 0.9463, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4205, scimark_benchmark: 1250.331, usercpu_time_millis: 366.605, usercpu_time_millis_testing: 10.672, usercpu_time_millis_training: 355.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9283, kappa: 0.849, kb_relative_information_score: 3047.223, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9291, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5301, scimark_benchmark: 1241.0817, usercpu_time_millis: 298.775, usercpu_time_millis_testing: 11.829, usercpu_time_millis_training: 286.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.94, kappa: 0.8738, kb_relative_information_score: 3510.9391, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9404, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4506, scimark_benchmark: 1238.4735, usercpu_time_millis: 29.935, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 28.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9393, kappa: 0.8724, kb_relative_information_score: 3507.3202, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4517, scimark_benchmark: 1248.041, usercpu_time_millis: 463.407, usercpu_time_millis_testing: 10.678, usercpu_time_millis_training: 452.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9358, kappa: 0.865, kb_relative_information_score: 3259.2047, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9363, predictive_accuracy: 0.9361, prior_entropy: 0.9674, recall: 0.9361, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4834, scimark_benchmark: 1229.5082, usercpu_time_millis: 331.859, usercpu_time_millis_testing: 13.048, usercpu_time_millis_training: 318.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9255, kappa: 0.8432, kb_relative_information_score: 2832.3203, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9261, predictive_accuracy: 0.9259, prior_entropy: 0.9674, recall: 0.9259, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5594, scimark_benchmark: 1226.2077, usercpu_time_millis: 339.425, usercpu_time_millis_testing: 10.815, usercpu_time_millis_training: 328.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9455, kappa: 0.8856, kb_relative_information_score: 3597.517, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4326, scimark_benchmark: 1237.3784, usercpu_time_millis: 623.763, usercpu_time_millis_testing: 18.638, usercpu_time_millis_training: 605.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.949, kappa: 0.8928, kb_relative_information_score: 3570.9088, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9492, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4247, scimark_benchmark: 1223.6256, usercpu_time_millis: 460.552, usercpu_time_millis_testing: 17.965, usercpu_time_millis_training: 442.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9311, kappa: 0.8551, kb_relative_information_score: 2902.1957, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9318, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5386, scimark_benchmark: 1228.2094, usercpu_time_millis: 64.067, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 59.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9453, kappa: 0.8852, kb_relative_information_score: 3634.5608, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.43, scimark_benchmark: 1235.4762, usercpu_time_millis: 98.821, usercpu_time_millis_testing: 3.314, usercpu_time_millis_training: 95.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9252, kappa: 0.8425, kb_relative_information_score: 2680.7603, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.926, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.5756, scimark_benchmark: 1239.2122, usercpu_time_millis: 20.786, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 19.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9111, kappa: 0.8122, kb_relative_information_score: 2064.8468, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9153, predictive_accuracy: 0.9124, prior_entropy: 0.9674, recall: 0.9124, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6658, scimark_benchmark: 1228.5994, usercpu_time_millis: 90.221, usercpu_time_millis_testing: 9.795, usercpu_time_millis_training: 80.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9393, kappa: 0.8725, kb_relative_information_score: 3531.1365, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.9674, recall: 0.9396, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4554, scimark_benchmark: 1232.35, usercpu_time_millis: 12.39, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 12.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9028, kappa: 0.7953, kb_relative_information_score: 2222.517, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9037, predictive_accuracy: 0.9035, prior_entropy: 0.9674, recall: 0.9035, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6517, scimark_benchmark: 1229.3438, usercpu_time_millis: 74.033, usercpu_time_millis_testing: 5.532, usercpu_time_millis_training: 68.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9428, kappa: 0.8798, kb_relative_information_score: 3279.4239, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9674, recall: 0.9431, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4676, scimark_benchmark: 1224.8072, usercpu_time_millis: 224.949, usercpu_time_millis_testing: 15.363, usercpu_time_millis_training: 209.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9162, kappa: 0.8236, kb_relative_information_score: 3456.1465, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9171, predictive_accuracy: 0.9168, prior_entropy: 0.9674, recall: 0.9168, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5247, scimark_benchmark: 1231.3892, usercpu_time_millis: 2.719, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9364, kappa: 0.8663, kb_relative_information_score: 3427.1402, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4666, scimark_benchmark: 1219.506, usercpu_time_millis: 657.236, usercpu_time_millis_testing: 14.999, usercpu_time_millis_training: 642.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.94, kappa: 0.8739, kb_relative_information_score: 3540.5422, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9674, recall: 0.9402, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4487, scimark_benchmark: 1225.6969, usercpu_time_millis: 230.561, usercpu_time_millis_testing: 7.04, usercpu_time_millis_training: 223.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9183, kappa: 0.8281, kb_relative_information_score: 2828.6892, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9188, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5678, scimark_benchmark: 1222.1232, usercpu_time_millis: 346.304, usercpu_time_millis_testing: 7.727, usercpu_time_millis_training: 338.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: -0.7235, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1224.4564, usercpu_time_millis: 33.594, usercpu_time_millis_testing: 3.988, usercpu_time_millis_training: 29.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.868, kappa: 0.7205, kb_relative_information_score: 1593.6768, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8867, predictive_accuracy: 0.8729, prior_entropy: 0.9674, recall: 0.8729, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7463, scimark_benchmark: 1227.0222, usercpu_time_millis: 46.913, usercpu_time_millis_testing: 4.319, usercpu_time_millis_training: 42.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9457, kappa: 0.886, kb_relative_information_score: 3617.526, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.4371, scimark_benchmark: 1219.0845, usercpu_time_millis: 11.964, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 11.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9445, kappa: 0.8833, kb_relative_information_score: 3321.2541, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9451, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4576, scimark_benchmark: 1239.359, usercpu_time_millis: 157.686, usercpu_time_millis_testing: 9.855, usercpu_time_millis_training: 147.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9353, kappa: 0.8639, kb_relative_information_score: 2983.8223, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.936, predictive_accuracy: 0.9357, prior_entropy: 0.9674, recall: 0.9357, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.521, scimark_benchmark: 1243.9996, usercpu_time_millis: 194.249, usercpu_time_millis_testing: 10.621, usercpu_time_millis_training: 183.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9347, kappa: 0.8626, kb_relative_information_score: 3255.805, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9353, predictive_accuracy: 0.935, prior_entropy: 0.9674, recall: 0.935, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.4875, scimark_benchmark: 1233.9556, usercpu_time_millis: 283.942, usercpu_time_millis_testing: 12.411, usercpu_time_millis_training: 271.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9257, kappa: 0.8437, kb_relative_information_score: 2974.8102, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9263, predictive_accuracy: 0.9261, prior_entropy: 0.9674, recall: 0.9261, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.5453, scimark_benchmark: 1233.5611, usercpu_time_millis: 158.585, usercpu_time_millis_testing: 8.831, usercpu_time_millis_training: 149.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9463, kappa: 0.8873, kb_relative_information_score: 3564.7677, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4303, scimark_benchmark: 1234.3298, usercpu_time_millis: 281.978, usercpu_time_millis_testing: 9.498, usercpu_time_millis_training: 272.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9466, kappa: 0.8879, kb_relative_information_score: 3674.8173, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9467, predictive_accuracy: 0.9468, prior_entropy: 0.9674, recall: 0.9468, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4191, scimark_benchmark: 1232.2723, usercpu_time_millis: 755.745, usercpu_time_millis_testing: 19.491, usercpu_time_millis_training: 736.254,

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