OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99484 runs submitted
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  • 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
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9085, kappa: 0.8081, kb_relative_information_score: 2765.6984, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9085, predictive_accuracy: 0.9087, prior_entropy: 0.9674, recall: 0.9087, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5843, scimark_benchmark: 1240.489, usercpu_time_millis: 286.598, usercpu_time_millis_testing: 5.748, usercpu_time_millis_training: 280.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9355, kappa: 0.8644, kb_relative_information_score: 3514.8361, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9362, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4633, scimark_benchmark: 1249.556, usercpu_time_millis: 647.916, usercpu_time_millis_testing: 9.308, usercpu_time_millis_training: 638.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9442, kappa: 0.8827, kb_relative_information_score: 3533.1793, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9444, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4403, scimark_benchmark: 1242.5999, usercpu_time_millis: 20.664, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 19.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9408, kappa: 0.8757, kb_relative_information_score: 3501.3597, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9674, recall: 0.9411, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4461, scimark_benchmark: 1229.8073, usercpu_time_millis: 282.664, usercpu_time_millis_testing: 16.212, usercpu_time_millis_training: 266.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9099, kappa: 0.8112, kb_relative_information_score: 2698.4475, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9099, predictive_accuracy: 0.91, prior_entropy: 0.9674, recall: 0.91, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5875, scimark_benchmark: 1235.7914, usercpu_time_millis: 48.987, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 45.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9311, kappa: 0.8551, kb_relative_information_score: 3397.4324, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9319, predictive_accuracy: 0.9315, prior_entropy: 0.9674, recall: 0.9315, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4815, scimark_benchmark: 1234.7166, usercpu_time_millis: 186.166, usercpu_time_millis_testing: 3.754, usercpu_time_millis_training: 182.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9063, kappa: 0.8019, kb_relative_information_score: 1937.0004, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9116, predictive_accuracy: 0.9078, prior_entropy: 0.9674, recall: 0.9078, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6873, scimark_benchmark: 1234.4009, usercpu_time_millis: 84.84, usercpu_time_millis_testing: 9.198, usercpu_time_millis_training: 75.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9214, kappa: 0.8346, kb_relative_information_score: 3099.6789, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9223, predictive_accuracy: 0.922, prior_entropy: 0.9674, recall: 0.922, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5346, scimark_benchmark: 1234.2167, usercpu_time_millis: 427.633, usercpu_time_millis_testing: 9.326, usercpu_time_millis_training: 418.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9488, kappa: 0.8925, kb_relative_information_score: 3664.3275, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9674, recall: 0.9489, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4138, scimark_benchmark: 1235.1899, usercpu_time_millis: 335.639, usercpu_time_millis_testing: 12.785, usercpu_time_millis_training: 322.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9384, kappa: 0.8706, kb_relative_information_score: 3513.802, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9389, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4546, scimark_benchmark: 1240.1341, usercpu_time_millis: 368.256, usercpu_time_millis_testing: 9.118, usercpu_time_millis_training: 359.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9356, kappa: 0.8645, kb_relative_information_score: 3508.3156, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4625, scimark_benchmark: 1245.1399, usercpu_time_millis: 783.07, usercpu_time_millis_testing: 12.469, usercpu_time_millis_training: 770.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9207, kappa: 0.833, kb_relative_information_score: 3036.9092, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5472, scimark_benchmark: 1246.3969, usercpu_time_millis: 711.955, usercpu_time_millis_testing: 10.806, usercpu_time_millis_training: 701.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9414, kappa: 0.8769, kb_relative_information_score: 3249.8386, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.942, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4703, scimark_benchmark: 1232.7974, usercpu_time_millis: 37.592, usercpu_time_millis_testing: 2.647, usercpu_time_millis_training: 34.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.94, kappa: 0.8739, kb_relative_information_score: 3582.319, mean_absolute_error: 0.1165, 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: 0.2438, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4478, scimark_benchmark: 1238.6701, usercpu_time_millis: 149.712, usercpu_time_millis_testing: 3.34, usercpu_time_millis_training: 146.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9032, kappa: 0.7971, kb_relative_information_score: 2634.8974, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9031, predictive_accuracy: 0.9033, prior_entropy: 0.9674, recall: 0.9033, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6043, scimark_benchmark: 1243.1136, usercpu_time_millis: 299.892, usercpu_time_millis_testing: 10.102, usercpu_time_millis_training: 289.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9313, kappa: 0.8555, kb_relative_information_score: 3351.5357, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9321, predictive_accuracy: 0.9318, prior_entropy: 0.9674, recall: 0.9318, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.4876, scimark_benchmark: 1221.5184, usercpu_time_millis: 299.584, usercpu_time_millis_testing: 6.939, usercpu_time_millis_training: 292.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9228, kappa: 0.8375, kb_relative_information_score: 3087.0047, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9236, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5351, scimark_benchmark: 1228.7381, usercpu_time_millis: 337.244, usercpu_time_millis_testing: 11.633, usercpu_time_millis_training: 325.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.934, kappa: 0.8611, kb_relative_information_score: 3479.0191, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4694, scimark_benchmark: 1233.3967, usercpu_time_millis: 483.005, usercpu_time_millis_testing: 8.819, usercpu_time_millis_training: 474.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9431, kappa: 0.8805, kb_relative_information_score: 3649.3962, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9433, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4379, scimark_benchmark: 1241.8961, usercpu_time_millis: 1397.59, usercpu_time_millis_testing: 18.004, usercpu_time_millis_training: 1379.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9285, kappa: 0.8497, kb_relative_information_score: 2967.9388, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9291, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5379, scimark_benchmark: 1238.1851, usercpu_time_millis: 118.66, usercpu_time_millis_testing: 7.554, usercpu_time_millis_training: 111.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9296, kappa: 0.8517, kb_relative_information_score: 3045.7585, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9304, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5268, scimark_benchmark: 1234.7356, usercpu_time_millis: 106.057, usercpu_time_millis_testing: 3.347, usercpu_time_millis_training: 102.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9388, kappa: 0.8714, kb_relative_information_score: 3374.6515, mean_absolute_error: 0.1434, 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: 0.3003, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4632, scimark_benchmark: 1231.6422, usercpu_time_millis: 126.142, usercpu_time_millis_testing: 5.305, usercpu_time_millis_training: 120.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9449, kappa: 0.8842, kb_relative_information_score: 3607.9465, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4323, scimark_benchmark: 1239.011, usercpu_time_millis: 148.237, usercpu_time_millis_testing: 5.786, usercpu_time_millis_training: 142.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9391, kappa: 0.8722, kb_relative_information_score: 3564.5085, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4455, scimark_benchmark: 1238.8735, usercpu_time_millis: 316.763, usercpu_time_millis_testing: 9.008, usercpu_time_millis_training: 307.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.951, kappa: 0.8973, kb_relative_information_score: 3774.5898, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.951, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4105, scimark_benchmark: 1242.1523, usercpu_time_millis: 556.451, usercpu_time_millis_testing: 9.056, usercpu_time_millis_training: 547.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.938, kappa: 0.8697, kb_relative_information_score: 3438.5714, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9674, recall: 0.9383, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.456, scimark_benchmark: 1232.1219, usercpu_time_millis: 303.226, usercpu_time_millis_testing: 15.513, usercpu_time_millis_training: 287.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.939, kappa: 0.8718, kb_relative_information_score: 3128.6015, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9397, predictive_accuracy: 0.9394, prior_entropy: 0.9674, recall: 0.9394, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.491, scimark_benchmark: 1235.9843, usercpu_time_millis: 187.947, usercpu_time_millis_testing: 12.463, usercpu_time_millis_training: 175.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9374, kappa: 0.8684, kb_relative_information_score: 3495.8951, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9377, predictive_accuracy: 0.9376, prior_entropy: 0.9674, recall: 0.9376, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4594, scimark_benchmark: 1240.8135, usercpu_time_millis: 73.235, usercpu_time_millis_testing: 3.026, usercpu_time_millis_training: 70.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9398, kappa: 0.8734, kb_relative_information_score: 3518.5401, mean_absolute_error: 0.1251, 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: 0.2619, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4494, scimark_benchmark: 1231.7882, usercpu_time_millis: 334.094, usercpu_time_millis_testing: 9.255, usercpu_time_millis_training: 324.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9271, kappa: 0.8465, kb_relative_information_score: 2842.2428, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9282, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5513, scimark_benchmark: 1231.5223, usercpu_time_millis: 96.4, usercpu_time_millis_testing: 5.001, usercpu_time_millis_training: 91.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9336, kappa: 0.8603, kb_relative_information_score: 3414.2299, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4801, scimark_benchmark: 1239.552, usercpu_time_millis: 340.571, usercpu_time_millis_testing: 10.275, usercpu_time_millis_training: 330.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8957, kappa: 0.7821, kb_relative_information_score: 2662.9226, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8961, predictive_accuracy: 0.8955, prior_entropy: 0.9674, recall: 0.8955, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6157, scimark_benchmark: 1229.1404, usercpu_time_millis: 179.534, usercpu_time_millis_testing: 3.964, usercpu_time_millis_training: 175.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9468, kappa: 0.8884, kb_relative_information_score: 3727.7569, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4152, scimark_benchmark: 1243.2715, usercpu_time_millis: 1002.232, usercpu_time_millis_testing: 23.096, usercpu_time_millis_training: 979.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9471, kappa: 0.8889, kb_relative_information_score: 3741.1485, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4195, scimark_benchmark: 1248.2258, usercpu_time_millis: 449.712, usercpu_time_millis_testing: 6.899, usercpu_time_millis_training: 442.813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: -0.2051, 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, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1237.3148, usercpu_time_millis: 18.539, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 16.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9457, kappa: 0.8858, kb_relative_information_score: 3415.4335, mean_absolute_error: 0.1397, 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: 0.2925, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4484, scimark_benchmark: 1235.5986, usercpu_time_millis: 59.216, usercpu_time_millis_testing: 3.971, usercpu_time_millis_training: 55.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9406, kappa: 0.8751, kb_relative_information_score: 3475.9631, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9411, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4488, scimark_benchmark: 1241.5752, usercpu_time_millis: 260.182, usercpu_time_millis_testing: 11.699, usercpu_time_millis_training: 248.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9457, kappa: 0.8858, kb_relative_information_score: 3527.3098, mean_absolute_error: 0.1254, 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: 0.2625, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4355, scimark_benchmark: 1231.6552, usercpu_time_millis: 337.5, usercpu_time_millis_testing: 14.79, usercpu_time_millis_training: 322.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9358, kappa: 0.8649, kb_relative_information_score: 3533.585, mean_absolute_error: 0.1214, 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: 0.2543, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4625, scimark_benchmark: 1240.6774, usercpu_time_millis: 1162.591, usercpu_time_millis_testing: 18.284, usercpu_time_millis_training: 1144.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9231, kappa: 0.8382, kb_relative_information_score: 2920.1143, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9236, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5562, scimark_benchmark: 1245.4188, usercpu_time_millis: 95.632, usercpu_time_millis_testing: 5.013, usercpu_time_millis_training: 90.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4573, kb_relative_information_score: -0.4088, 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: 1234.0043, usercpu_time_millis: 9.017, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 8.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4573, kb_relative_information_score: 0.1596, 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: 1237.9304, usercpu_time_millis: 38.148, usercpu_time_millis_testing: 4.924, usercpu_time_millis_training: 33.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9022, kappa: 0.7951, kb_relative_information_score: 2733.1975, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.9674, recall: 0.9022, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.602, scimark_benchmark: 1241.0072, usercpu_time_millis: 356.473, usercpu_time_millis_testing: 5.472, usercpu_time_millis_training: 351.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9362, kappa: 0.866, kb_relative_information_score: 3375.1307, mean_absolute_error: 0.1425, 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: 0.2985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4714, scimark_benchmark: 1231.8124, usercpu_time_millis: 148.131, usercpu_time_millis_testing: 7.776, usercpu_time_millis_training: 140.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8506, kappa: 0.6837, kb_relative_information_score: 1490.9055, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8751, predictive_accuracy: 0.8572, prior_entropy: 0.9674, recall: 0.8572, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.766, scimark_benchmark: 1234.4818, usercpu_time_millis: 24.744, usercpu_time_millis_testing: 2.414, usercpu_time_millis_training: 22.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.91, kappa: 0.8098, kb_relative_information_score: 2060.5776, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9144, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6666, scimark_benchmark: 1239.1657, usercpu_time_millis: 32.577, usercpu_time_millis_testing: 2.865, usercpu_time_millis_training: 29.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9446, kappa: 0.8836, kb_relative_information_score: 3621.1188, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4344, scimark_benchmark: 1211.2146, usercpu_time_millis: 296.447, usercpu_time_millis_testing: 5.629, usercpu_time_millis_training: 290.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9057, kappa: 0.8022, kb_relative_information_score: 2728.6992, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9057, predictive_accuracy: 0.9059, prior_entropy: 0.9674, recall: 0.9059, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5895, scimark_benchmark: 1251.1684, usercpu_time_millis: 336.64, usercpu_time_millis_testing: 9.037, usercpu_time_millis_training: 327.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9022, kappa: 0.7945, kb_relative_information_score: 2279.0852, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9024, predictive_accuracy: 0.9026, prior_entropy: 0.9674, recall: 0.9026, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6467, scimark_benchmark: 1228.1144, usercpu_time_millis: 84.081, usercpu_time_millis_testing: 6.253, usercpu_time_millis_training: 77.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9349, kappa: 0.863, kb_relative_information_score: 3294.2752, mean_absolute_error: 0.1518, 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: 0.3178, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4844, scimark_benchmark: 1236.3223, usercpu_time_millis: 369.823, usercpu_time_millis_testing: 11.599, usercpu_time_millis_training: 358.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9367, kappa: 0.8669, kb_relative_information_score: 3564.0343, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9371, predictive_accuracy: 0.937, prior_entropy: 0.9674, recall: 0.937, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4558, scimark_benchmark: 1246.5399, usercpu_time_millis: 1237.269, usercpu_time_millis_testing: 12.299, usercpu_time_millis_training: 1224.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9382, kappa: 0.8701, kb_relative_information_score: 3517.3218, mean_absolute_error: 0.1246, 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: 0.261, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4544, scimark_benchmark: 1235.5972, usercpu_time_millis: 358.803, usercpu_time_millis_testing: 9.706, usercpu_time_millis_training: 349.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9309, kappa: 0.8546, kb_relative_information_score: 3400.3167, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9317, predictive_accuracy: 0.9313, prior_entropy: 0.9674, recall: 0.9313, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4833, scimark_benchmark: 1236.4688, usercpu_time_millis: 323.313, usercpu_time_millis_testing: 3.868, usercpu_time_millis_training: 319.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9376, kappa: 0.8689, kb_relative_information_score: 3514.2843, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9379, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4552, scimark_benchmark: 1227.5441, usercpu_time_millis: 423.93, usercpu_time_millis_testing: 16.073, usercpu_time_millis_training: 407.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9257, kappa: 0.8437, kb_relative_information_score: 3033.7191, mean_absolute_error: 0.1811, 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: 0.3792, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5372, scimark_benchmark: 1230.4853, usercpu_time_millis: 74.929, usercpu_time_millis_testing: 3.81, usercpu_time_millis_training: 71.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.918, kappa: 0.8274, kb_relative_information_score: 3047.3578, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9194, predictive_accuracy: 0.9187, prior_entropy: 0.9674, recall: 0.9187, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5503, scimark_benchmark: 1244.4177, usercpu_time_millis: 83.093, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 81.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9239, kappa: 0.8399, kb_relative_information_score: 3017.2017, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5425, scimark_benchmark: 1238.5841, usercpu_time_millis: 185.001, usercpu_time_millis_testing: 7.817, usercpu_time_millis_training: 177.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.4726, 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, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1250.1119, usercpu_time_millis: 25.61, usercpu_time_millis_testing: 3.539, usercpu_time_millis_training: 22.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9227, kappa: 0.8373, kb_relative_information_score: 3087.004, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9238, predictive_accuracy: 0.9233, prior_entropy: 0.9674, recall: 0.9233, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5305, scimark_benchmark: 1244.3433, usercpu_time_millis: 248.122, usercpu_time_millis_testing: 5.99, usercpu_time_millis_training: 242.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9239, kappa: 0.8399, kb_relative_information_score: 3010.8166, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9246, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5427, scimark_benchmark: 1235.3942, usercpu_time_millis: 70.309, usercpu_time_millis_testing: 3.745, usercpu_time_millis_training: 66.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9355, kappa: 0.8644, kb_relative_information_score: 3325.3725, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.9674, recall: 0.9359, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.479, scimark_benchmark: 1242.2634, usercpu_time_millis: 76.529, usercpu_time_millis_testing: 2.527, usercpu_time_millis_training: 74.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9191, kappa: 0.8302, kb_relative_information_score: 2646.5744, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9192, predictive_accuracy: 0.9194, prior_entropy: 0.9674, recall: 0.9194, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5869, scimark_benchmark: 1242.909, usercpu_time_millis: 103.001, usercpu_time_millis_testing: 6.862, usercpu_time_millis_training: 96.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9205, kappa: 0.8325, kb_relative_information_score: 2981.1224, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9217, predictive_accuracy: 0.9211, prior_entropy: 0.9674, recall: 0.9211, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5585, scimark_benchmark: 1236.4413, usercpu_time_millis: 106.326, usercpu_time_millis_testing: 2.502, usercpu_time_millis_training: 103.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9376, kappa: 0.8688, kb_relative_information_score: 3541.106, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9379, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4573, scimark_benchmark: 1245.8609, usercpu_time_millis: 469.313, usercpu_time_millis_testing: 13.767, usercpu_time_millis_training: 455.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9349, kappa: 0.8633, kb_relative_information_score: 3544.83, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9353, predictive_accuracy: 0.9352, prior_entropy: 0.9674, recall: 0.9352, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4565, scimark_benchmark: 1227.3323, usercpu_time_millis: 56.617, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 55.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9276, kappa: 0.8477, kb_relative_information_score: 3105.2529, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9284, predictive_accuracy: 0.9281, prior_entropy: 0.9674, recall: 0.9281, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5253, scimark_benchmark: 1251.8788, usercpu_time_millis: 210.111, usercpu_time_millis_testing: 9.208, usercpu_time_millis_training: 200.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9336, kappa: 0.8604, kb_relative_information_score: 3466.7411, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9341, predictive_accuracy: 0.9339, prior_entropy: 0.9674, recall: 0.9339, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4717, scimark_benchmark: 1249.9299, usercpu_time_millis: 233.453, usercpu_time_millis_testing: 6.277, usercpu_time_millis_training: 227.176,

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