OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2504.4614, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4459, scimark_benchmark: 1697.9043, usercpu_time_millis: 2667.165, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 2664.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9597, kappa: 0.8341, kb_relative_information_score: 2277.259, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5072, scimark_benchmark: 1712.6579, usercpu_time_millis: 2805.297, usercpu_time_millis_testing: 2.684, usercpu_time_millis_training: 2802.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9699, kappa: 0.8743, kb_relative_information_score: 2697.8565, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4378, scimark_benchmark: 1776.162, usercpu_time_millis: 1831.886, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 1830.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2518.7899, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4427, scimark_benchmark: 1730.8446, usercpu_time_millis: 871.869, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 870.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9749, kappa: 0.8938, kb_relative_information_score: 2614.2216, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4102, scimark_benchmark: 1780.1811, usercpu_time_millis: 1092.407, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 1088.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9773, kappa: 0.9043, kb_relative_information_score: 2635.2001, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4015, scimark_benchmark: 1732.553, usercpu_time_millis: 261.018, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 259.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.96, kappa: 0.8346, kb_relative_information_score: 2289.4358, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9602, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.5207, scimark_benchmark: 1772.0241, usercpu_time_millis: 1428.82, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 1427.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2549.7025, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4401, scimark_benchmark: 1756.4974, usercpu_time_millis: 1106.33, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 1105.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9669, kappa: 0.8591, kb_relative_information_score: 2498.6229, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9671, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4565, scimark_benchmark: 1694.5968, usercpu_time_millis: 391.575, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 390.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9742, kappa: 0.891, kb_relative_information_score: 2494.0329, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4322, scimark_benchmark: 1736.6058, usercpu_time_millis: 963.841, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 960.746,
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: 0.9749, f_measure: 0.9723, kappa: 0.8827, kb_relative_information_score: 2535.7125, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4437, scimark_benchmark: 1717.025, usercpu_time_millis: 1244.088, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 1242.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9601, kappa: 0.8345, kb_relative_information_score: 2242.2999, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4985, scimark_benchmark: 1702.1809, usercpu_time_millis: 1058.493, usercpu_time_millis_testing: 2.716, usercpu_time_millis_training: 1055.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9599, kappa: 0.834, kb_relative_information_score: 2268.3247, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.506, scimark_benchmark: 1724.8648, usercpu_time_millis: 847.845, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 845.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9755, kappa: 0.8964, kb_relative_information_score: 2617.9444, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4112, scimark_benchmark: 1715.0591, usercpu_time_millis: 971.567, usercpu_time_millis_testing: 2.886, usercpu_time_millis_training: 968.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9716, kappa: 0.8798, kb_relative_information_score: 2575.9005, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1909, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4368, scimark_benchmark: 1731.5821, usercpu_time_millis: 530.461, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 529.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9591, kappa: 0.8303, kb_relative_information_score: 2290.8387, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5145, scimark_benchmark: 1774.7904, usercpu_time_millis: 248.763, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 248.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -5.9257, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1771.5213, usercpu_time_millis: 3.202, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 2.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9692, kappa: 0.8697, kb_relative_information_score: 2222.3293, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.4932, scimark_benchmark: 1717.382, usercpu_time_millis: 68.935, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 68.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9577, kappa: 0.8258, kb_relative_information_score: 2273.4001, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5477, scimark_benchmark: 1361.2379, usercpu_time_millis: 3560.601, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 3558.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9753, kappa: 0.8962, kb_relative_information_score: 2675.0569, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4161, scimark_benchmark: 1362.6207, usercpu_time_millis: 9069.948, usercpu_time_millis_testing: 3.592, usercpu_time_millis_training: 9066.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2273.6814, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.5058, scimark_benchmark: 1364.7118, usercpu_time_millis: 2993.103, usercpu_time_millis_testing: 2.551, usercpu_time_millis_training: 2990.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9668, kappa: 0.8609, kb_relative_information_score: 2365.3198, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4771, scimark_benchmark: 1364.2187, usercpu_time_millis: 2350.09, usercpu_time_millis_testing: 2.798, usercpu_time_millis_training: 2347.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9757, kappa: 0.898, kb_relative_information_score: 2721.5493, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4069, scimark_benchmark: 1362.0396, usercpu_time_millis: 3526.832, usercpu_time_millis_testing: 3.261, usercpu_time_millis_training: 3523.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9731, kappa: 0.8866, kb_relative_information_score: 2656.2106, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4324, scimark_benchmark: 1361.0521, usercpu_time_millis: 13454.835, usercpu_time_millis_testing: 4.017, usercpu_time_millis_training: 13450.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9718, kappa: 0.8809, kb_relative_information_score: 2476.984, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4435, scimark_benchmark: 1361.8773, usercpu_time_millis: 1416.444, usercpu_time_millis_testing: 2.025, usercpu_time_millis_training: 1414.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9755, kappa: 0.8966, kb_relative_information_score: 2595.7205, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4257, scimark_benchmark: 1363.7872, usercpu_time_millis: 2308.879, usercpu_time_millis_testing: 2.619, usercpu_time_millis_training: 2306.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9582, kappa: 0.8277, kb_relative_information_score: 2282.6884, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9586, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5285, scimark_benchmark: 1368.0589, usercpu_time_millis: 1441.169, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 1440.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9729, kappa: 0.8865, kb_relative_information_score: 2701.412, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4202, scimark_benchmark: 1372.8386, usercpu_time_millis: 10049.779, usercpu_time_millis_testing: 4.489, usercpu_time_millis_training: 10045.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2531.612, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4459, scimark_benchmark: 1362.3664, usercpu_time_millis: 113.209, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 112.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9586, kappa: 0.8297, kb_relative_information_score: 2267.973, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5065, scimark_benchmark: 1365.9674, usercpu_time_millis: 349.465, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 348.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2492.5336, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4392, scimark_benchmark: 1364.0458, usercpu_time_millis: 17.094, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 16.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9439, kappa: 0.762, kb_relative_information_score: 1971.5499, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9434, predictive_accuracy: 0.9451, prior_entropy: 0.5848, recall: 0.9451, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.206, root_relative_squared_error: 0.5938, scimark_benchmark: 1362.9177, usercpu_time_millis: 245.361, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 244.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.975, kappa: 0.8936, kb_relative_information_score: 2517.8849, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9754, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4305, scimark_benchmark: 1370.9251, usercpu_time_millis: 356.148, usercpu_time_millis_testing: 3.144, usercpu_time_millis_training: 353.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9735, kappa: 0.8886, kb_relative_information_score: 2672.4185, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4229, scimark_benchmark: 1360.9367, usercpu_time_millis: 7091.973, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 7089.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9741, kappa: 0.8902, kb_relative_information_score: 2478.9231, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9744, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4301, scimark_benchmark: 1359.088, usercpu_time_millis: 486.37, usercpu_time_millis_testing: 3.875, usercpu_time_millis_training: 482.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9583, kappa: 0.828, kb_relative_information_score: 2281.6647, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5186, scimark_benchmark: 1360.6213, usercpu_time_millis: 240.036, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 239.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.973, kappa: 0.8871, kb_relative_information_score: 2712.3337, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9729, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4148, scimark_benchmark: 1363.2927, usercpu_time_millis: 302.941, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 301.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2286.7427, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.5259, scimark_benchmark: 1362.3734, usercpu_time_millis: 3988.132, usercpu_time_millis_testing: 1.85, usercpu_time_millis_training: 3986.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2285.5384, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.5267, scimark_benchmark: 1364.9794, usercpu_time_millis: 7076.269, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 7073.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9718, kappa: 0.882, kb_relative_information_score: 2694.9588, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4296, scimark_benchmark: 1360.2481, usercpu_time_millis: 160.983, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 160.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9737, kappa: 0.8892, kb_relative_information_score: 2631.0305, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4243, scimark_benchmark: 1357.0136, usercpu_time_millis: 8432.947, usercpu_time_millis_testing: 3.027, usercpu_time_millis_training: 8429.92,
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: 0.9738, f_measure: 0.9723, kappa: 0.8827, kb_relative_information_score: 2538.7441, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4426, scimark_benchmark: 1364.3917, usercpu_time_millis: 3267.026, usercpu_time_millis_testing: 2.828, usercpu_time_millis_training: 3264.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9697, kappa: 0.8714, kb_relative_information_score: 2541.7055, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4444, scimark_benchmark: 1353.2219, usercpu_time_millis: 1307.145, usercpu_time_millis_testing: 2.004, usercpu_time_millis_training: 1305.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2614.6676, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.4262, scimark_benchmark: 1362.5766, usercpu_time_millis: 6593.738, usercpu_time_millis_testing: 4.043, usercpu_time_millis_training: 6589.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9693, kappa: 0.8684, kb_relative_information_score: 2280.6167, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.4682, scimark_benchmark: 1361.7035, usercpu_time_millis: 349.258, usercpu_time_millis_testing: 5.5, usercpu_time_millis_training: 343.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2287.9687, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5194, scimark_benchmark: 1364.903, usercpu_time_millis: 7627.262, usercpu_time_millis_testing: 3.383, usercpu_time_millis_training: 7623.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9589, kappa: 0.8311, kb_relative_information_score: 2271.6144, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.507, scimark_benchmark: 1365.6285, usercpu_time_millis: 3058.508, usercpu_time_millis_testing: 2.862, usercpu_time_millis_training: 3055.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -0.3171, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1363.5753, usercpu_time_millis: 8.67, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 7.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9588, kappa: 0.8302, kb_relative_information_score: 2279.9094, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.5314, scimark_benchmark: 1363.0497, usercpu_time_millis: 4225.58, usercpu_time_millis_testing: 1.809, usercpu_time_millis_training: 4223.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9594, kappa: 0.8321, kb_relative_information_score: 2285.3803, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.525, scimark_benchmark: 1338.4308, usercpu_time_millis: 1855.92, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 1854.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.959, kappa: 0.8307, kb_relative_information_score: 2283.8351, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5151, scimark_benchmark: 1363.8809, usercpu_time_millis: 343.165, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 342.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9589, kappa: 0.8308, kb_relative_information_score: 2309.8123, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.52, scimark_benchmark: 1366.1876, usercpu_time_millis: 2545.288, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 2543.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9588, kappa: 0.8292, kb_relative_information_score: 2250.9183, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9589, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5008, scimark_benchmark: 1362.804, usercpu_time_millis: 229.171, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 228.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2287.2792, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5243, scimark_benchmark: 1361.525, usercpu_time_millis: 4130.108, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 4128.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8842, kappa: 0.4625, kb_relative_information_score: 1267.6744, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8984, predictive_accuracy: 0.9021, prior_entropy: 0.5848, recall: 0.9021, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.7563, scimark_benchmark: 1365.0298, usercpu_time_millis: 72.277, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 71.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9713, kappa: 0.8792, kb_relative_information_score: 2656.5103, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456, scimark_benchmark: 1368.2649, usercpu_time_millis: 4874.793, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 4873.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9596, kappa: 0.8332, kb_relative_information_score: 2284.7315, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5162, scimark_benchmark: 1368.9396, usercpu_time_millis: 1770.751, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 1769.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.96, kappa: 0.8346, kb_relative_information_score: 2288.2565, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9602, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5044, scimark_benchmark: 1359.5477, usercpu_time_millis: 1326.955, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 1325.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2570.2571, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4448, scimark_benchmark: 1370.3923, usercpu_time_millis: 1356.902, usercpu_time_millis_testing: 1.043, usercpu_time_millis_training: 1355.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9739, kappa: 0.8894, kb_relative_information_score: 2528.0949, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4367, scimark_benchmark: 1366.7995, usercpu_time_millis: 1224.923, usercpu_time_millis_testing: 2.648, usercpu_time_millis_training: 1222.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.975, kappa: 0.8948, kb_relative_information_score: 2657.1579, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1649, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.4108, scimark_benchmark: 1364.5086, usercpu_time_millis: 3331.714, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 3328.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9702, kappa: 0.8726, kb_relative_information_score: 2240.607, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4879, scimark_benchmark: 1365.2849, usercpu_time_millis: 125.801, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 124.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2187.466, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5026, scimark_benchmark: 1363.8948, usercpu_time_millis: 212.726, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 210.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: 605.5474, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8798, predictive_accuracy: 0.8603, prior_entropy: 0.5848, recall: 0.8603, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.8998, scimark_benchmark: 1367.2512, usercpu_time_millis: 7.026, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 5.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8872, kappa: 0.4776, kb_relative_information_score: 1190.211, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9002, predictive_accuracy: 0.9039, prior_entropy: 0.5848, recall: 0.9039, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.269, root_relative_squared_error: 0.7753, scimark_benchmark: 1366.1418, usercpu_time_millis: 345.312, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 343.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2593.7951, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4286, scimark_benchmark: 1368.3828, usercpu_time_millis: 958.727, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 957.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -0.0193, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1365.217, usercpu_time_millis: 8.474, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 6.74,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs