Task
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: 0.9784, f_measure: 0.9726, kappa: 0.8843, kb_relative_information_score: 2610.86, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4172, scimark_benchmark: 1724.528, usercpu_time_millis: 167.66, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 166.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9654, kappa: 0.8501, kb_relative_information_score: 2254.8886, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4814, scimark_benchmark: 785.8365, usercpu_time_millis: 65.305, usercpu_time_millis_testing: 3.449, usercpu_time_millis_training: 61.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9567, kappa: 0.8103, kb_relative_information_score: 2141.3367, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5151, scimark_benchmark: 1834.6378, usercpu_time_millis: 10.988, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 10.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -3.3334, 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: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1833.1322, usercpu_time_millis: 6.163, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 5.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.1289, 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: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1956.1443, usercpu_time_millis: 4.88, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 3.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9651, kappa: 0.8543, kb_relative_information_score: 2405.9319, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4893, scimark_benchmark: 1730.1903, usercpu_time_millis: 339.537, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 338.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9651, kappa: 0.8545, kb_relative_information_score: 2359.08, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4789, scimark_benchmark: 1858.0881, usercpu_time_millis: 205.103, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 204.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9606, kappa: 0.8352, kb_relative_information_score: 2266.7399, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4982, scimark_benchmark: 1839.7911, usercpu_time_millis: 135.815, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 134.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9753, kappa: 0.8958, kb_relative_information_score: 2621.7965, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4154, scimark_benchmark: 1836.2249, usercpu_time_millis: 99.455, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 98.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -0.3009, 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: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1739.1963, usercpu_time_millis: 6.871, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 5.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.3012, 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: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1835.4043, usercpu_time_millis: 7.652, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 6.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -3.3392, 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: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1858.6775, usercpu_time_millis: 4.871, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 4.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.9298, kappa: 0.6964, kb_relative_information_score: 1687.9716, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9295, predictive_accuracy: 0.9329, prior_entropy: 0.5848, recall: 0.9329, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.6978, scimark_benchmark: 1824.3463, usercpu_time_millis: 266.804, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 265.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9714, kappa: 0.8793, kb_relative_information_score: 2497.513, mean_absolute_error: 0.0518, 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: 0.215, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4376, scimark_benchmark: 1833.1809, usercpu_time_millis: 233.813, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 232.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9675, kappa: 0.8598, kb_relative_information_score: 2292.8643, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4808, scimark_benchmark: 1846.2342, usercpu_time_millis: 171.12, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 166.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9601, kappa: 0.8348, kb_relative_information_score: 2273.3694, mean_absolute_error: 0.0689, 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: 0.2861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4883, scimark_benchmark: 1829.1442, usercpu_time_millis: 77.931, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 77.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9699, kappa: 0.8726, kb_relative_information_score: 2537.739, mean_absolute_error: 0.0485, 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: 0.2013, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4449, scimark_benchmark: 1849.3014, usercpu_time_millis: 29.217, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 28.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -3.1617, 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: 1834.1671, usercpu_time_millis: 6.647, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 5.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2279.9391, mean_absolute_error: 0.0671, 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: 0.2785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5148, scimark_benchmark: 788.4134, usercpu_time_millis: 162.679, usercpu_time_millis_testing: 1.192, usercpu_time_millis_training: 161.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -3.0368, 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: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1899.3649, usercpu_time_millis: 8.506, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 7.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.4039, 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: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 4.56, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 3.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9695, kappa: 0.8722, kb_relative_information_score: 2279.4938, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.4818, scimark_benchmark: 788.818, usercpu_time_millis: 206.25, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 204.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9696, kappa: 0.8704, kb_relative_information_score: 2183.3463, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.97, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.496, scimark_benchmark: 1851.8968, usercpu_time_millis: 194.841, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 192.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9615, kappa: 0.8398, kb_relative_information_score: 2244.2741, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4968, scimark_benchmark: 1852.9988, usercpu_time_millis: 99.38, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 98.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.9886, 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: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1738.0833, usercpu_time_millis: 5.139, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 4.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -6.4631, 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: 1800.9139, usercpu_time_millis: 4.156, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 3.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.3821, 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: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1848.388, usercpu_time_millis: 3.262, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 2.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9603, kappa: 0.8287, kb_relative_information_score: 2037.7951, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9614, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5428, scimark_benchmark: 1855.74, usercpu_time_millis: 236.05, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 234.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8783, kappa: 0.4311, kb_relative_information_score: 1235.6197, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8958, predictive_accuracy: 0.8988, prior_entropy: 0.5848, recall: 0.8988, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7624, scimark_benchmark: 1784.6912, usercpu_time_millis: 201.028, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 199.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -1.0497, 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: 1852.9988, usercpu_time_millis: 6.775, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 5.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -5.0404, 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: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1786.8907, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 3.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: 3.381, mean_absolute_error: 0.2405, 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: 0.9983, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1794.4021, usercpu_time_millis: 3.394, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 2.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8754, kappa: 0.4108, kb_relative_information_score: 1184.7879, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.907, predictive_accuracy: 0.8997, prior_entropy: 0.5848, recall: 0.8997, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7615, scimark_benchmark: 1799.8177, usercpu_time_millis: 109.67, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 108.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.2784, 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: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 790.2522, usercpu_time_millis: 14.998, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 12.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.6917, 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: 1786.1801, usercpu_time_millis: 5.266, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 4.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.6378, 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: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1853.5297, usercpu_time_millis: 7.158, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 6.074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9627, kappa: 0.8449, kb_relative_information_score: 2237.1812, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4975, scimark_benchmark: 1725.6098, usercpu_time_millis: 352.955, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 351.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.96, kappa: 0.8346, kb_relative_information_score: 2297.7539, mean_absolute_error: 0.0653, 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: 0.2711, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5129, scimark_benchmark: 1720.3261, usercpu_time_millis: 340.265, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 339.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9647, kappa: 0.8526, kb_relative_information_score: 2254.6522, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9646, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.4879, scimark_benchmark: 1709.3968, usercpu_time_millis: 308.973, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 307.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9665, kappa: 0.8595, kb_relative_information_score: 2344.448, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9663, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4823, scimark_benchmark: 1717.7943, usercpu_time_millis: 312.068, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 311.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9635, kappa: 0.8477, kb_relative_information_score: 2224.0578, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9634, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4992, scimark_benchmark: 1747.7286, usercpu_time_millis: 288.338, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 286.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9745, kappa: 0.8924, kb_relative_information_score: 2494.0118, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4316, scimark_benchmark: 1723.1138, usercpu_time_millis: 278.622, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 276.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9717, kappa: 0.88, kb_relative_information_score: 2541.3268, mean_absolute_error: 0.0483, 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: 0.2004, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4423, scimark_benchmark: 1731.6816, usercpu_time_millis: 277.957, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 277.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9602, kappa: 0.8351, kb_relative_information_score: 2248.2249, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4997, scimark_benchmark: 1712.5032, usercpu_time_millis: 256.335, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 255.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2554.945, mean_absolute_error: 0.0477, 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: 0.1979, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4366, scimark_benchmark: 1733.904, usercpu_time_millis: 223.502, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 222.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9594, kappa: 0.8327, kb_relative_information_score: 2274.4334, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5201, scimark_benchmark: 1716.2747, usercpu_time_millis: 219.048, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 218.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9534, kappa: 0.8039, kb_relative_information_score: 2241.3368, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.953, predictive_accuracy: 0.9539, prior_entropy: 0.5848, recall: 0.9539, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.52, scimark_benchmark: 1729.5307, usercpu_time_millis: 214.541, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 213.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9246, kappa: 0.6674, kb_relative_information_score: 1638.3735, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9264, predictive_accuracy: 0.9299, prior_entropy: 0.5848, recall: 0.9299, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.6592, scimark_benchmark: 1717.9913, usercpu_time_millis: 197.918, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 196.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9742, kappa: 0.8908, kb_relative_information_score: 2588.3941, mean_absolute_error: 0.0459, 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: 0.1906, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4258, scimark_benchmark: 1711.6043, usercpu_time_millis: 183.054, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 182.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9704, kappa: 0.8755, kb_relative_information_score: 2335.839, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9703, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.164, root_relative_squared_error: 0.4727, scimark_benchmark: 1752.5424, usercpu_time_millis: 153.401, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 152.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2349.9549, mean_absolute_error: 0.0652, 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: 0.2705, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4579, scimark_benchmark: 1842.1399, usercpu_time_millis: 147.228, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 145.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9579, kappa: 0.8252, kb_relative_information_score: 2280.713, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5095, scimark_benchmark: 1879.5932, usercpu_time_millis: 147.982, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 147.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8763, kappa: 0.4177, kb_relative_information_score: 1250.1398, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8991, prior_entropy: 0.5848, recall: 0.8991, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.7534, scimark_benchmark: 1844.4224, usercpu_time_millis: 149.906, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 148.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9602, kappa: 0.8344, kb_relative_information_score: 2252.0101, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.4991, scimark_benchmark: 1853.3841, usercpu_time_millis: 166.722, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 165.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9687, kappa: 0.8659, kb_relative_information_score: 2178.5617, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4959, scimark_benchmark: 1841.2811, usercpu_time_millis: 150.445, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 148.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9696, kappa: 0.8696, kb_relative_information_score: 2340.1892, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.4569, scimark_benchmark: 1835.6503, usercpu_time_millis: 146.785, usercpu_time_millis_testing: 4.092, usercpu_time_millis_training: 142.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9589, kappa: 0.8305, kb_relative_information_score: 2267.6509, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9593, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.182, root_relative_squared_error: 0.5247, scimark_benchmark: 1840.6983, usercpu_time_millis: 132.093, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 131.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9705, kappa: 0.874, kb_relative_information_score: 2428.1142, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4593, scimark_benchmark: 1730.1903, usercpu_time_millis: 113.481, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 112.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9764, kappa: 0.9001, kb_relative_information_score: 2604.3459, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4071, scimark_benchmark: 1712.1059, usercpu_time_millis: 117.316, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 115.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9533, kappa: 0.8043, kb_relative_information_score: 2234.6935, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.953, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5345, scimark_benchmark: 1713.7766, usercpu_time_millis: 132.142, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 131.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9691, kappa: 0.8674, kb_relative_information_score: 2171.8237, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4964, scimark_benchmark: 1730.1875, usercpu_time_millis: 75.336, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 73.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9579, kappa: 0.8241, kb_relative_information_score: 2229.1776, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5094, scimark_benchmark: 785.0143, usercpu_time_millis: 75.717, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 74.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9701, kappa: 0.8731, kb_relative_information_score: 2504.7516, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4509, scimark_benchmark: 1742.4154, usercpu_time_millis: 105.016, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 104.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9751, kappa: 0.8946, kb_relative_information_score: 2529.2567, mean_absolute_error: 0.0521, 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: 0.2163, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4306, scimark_benchmark: 1751.9525, usercpu_time_millis: 52.674, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 51.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2278.2092, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.179, root_relative_squared_error: 0.516, scimark_benchmark: 1721.643, usercpu_time_millis: 67.303, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 66.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9739, kappa: 0.8885, kb_relative_information_score: 2426.6378, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.437, scimark_benchmark: 1771.2627, usercpu_time_millis: 59.298, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 57.478,

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