OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9674, kappa: 0.8637, kb_relative_information_score: 2301.8505, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9673, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.478, scimark_benchmark: 1736.9716, usercpu_time_millis: 588.637, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 586.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9694, kappa: 0.8714, kb_relative_information_score: 2403.4355, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4702, scimark_benchmark: 2120.5774, usercpu_time_millis: 540.685, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 539.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2527.5215, mean_absolute_error: 0.0494, 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: 0.205, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4368, scimark_benchmark: 1839.272, usercpu_time_millis: 294.879, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 293.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9646, kappa: 0.8525, kb_relative_information_score: 2293.9785, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4831, scimark_benchmark: 1839.3403, usercpu_time_millis: 135.531, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 134.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9084, kappa: 0.5768, kb_relative_information_score: 1493.2015, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9273, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.24, root_relative_squared_error: 0.6917, scimark_benchmark: 1108.7072, usercpu_time_millis: 78.536, usercpu_time_millis_testing: 5.631, usercpu_time_millis_training: 72.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9399, kappa: 0.7308, kb_relative_information_score: 1947.7068, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.948, predictive_accuracy: 0.9454, prior_entropy: 0.5848, recall: 0.9454, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5716, scimark_benchmark: 1743.3442, usercpu_time_millis: 22.096, usercpu_time_millis_testing: 2.102, usercpu_time_millis_training: 19.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9124, kappa: 0.5969, kb_relative_information_score: 1621.157, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9293, predictive_accuracy: 0.9244, prior_entropy: 0.5848, recall: 0.9244, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.231, root_relative_squared_error: 0.6657, scimark_benchmark: 1932.069, usercpu_time_millis: 13.328, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 12.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9307, kappa: 0.6866, kb_relative_information_score: 1830.7528, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9414, predictive_accuracy: 0.9381, prior_entropy: 0.5848, recall: 0.9381, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.6045, scimark_benchmark: 1840.3171, usercpu_time_millis: 43.468, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 40.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9058, kappa: 0.5639, kb_relative_information_score: 1437.012, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9257, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.7059, scimark_benchmark: 1842.7093, usercpu_time_millis: 42.689, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 39.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9462, kappa: 0.7608, kb_relative_information_score: 2012.2705, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9527, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.554, scimark_benchmark: 1836.1651, usercpu_time_millis: 46.397, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 43.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9451, kappa: 0.7556, kb_relative_information_score: 1977.1316, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5626, scimark_benchmark: 1934.4335, usercpu_time_millis: 14.371, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 13.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9247, kappa: 0.6577, kb_relative_information_score: 1773.6876, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9373, predictive_accuracy: 0.9335, prior_entropy: 0.5848, recall: 0.9335, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.6246, scimark_benchmark: 2026.2888, usercpu_time_millis: 6.718, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 5.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8998, kappa: 0.534, kb_relative_information_score: 1356.5654, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9215, predictive_accuracy: 0.9155, prior_entropy: 0.5848, recall: 0.9155, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7285, scimark_benchmark: 1830.1486, usercpu_time_millis: 18.814, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 17.214,
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: 0.9782, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: 712.4404, mean_absolute_error: 0.2098, 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: 0.8707, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.8777, scimark_benchmark: 1940.0733, usercpu_time_millis: 12.489, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 11.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: 726.3221, mean_absolute_error: 0.209, 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: 0.8674, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.8747, scimark_benchmark: 1853.454, usercpu_time_millis: 14.816, usercpu_time_millis_testing: 1.628, usercpu_time_millis_training: 13.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.7997, kappa: 0.0223, kb_relative_information_score: 747.8313, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.881, predictive_accuracy: 0.8618, prior_entropy: 0.5848, recall: 0.8618, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8703, scimark_benchmark: 2089.3424, usercpu_time_millis: 15.835, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 13.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.898, kappa: 0.5249, kb_relative_information_score: 1387.5929, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9205, predictive_accuracy: 0.9143, prior_entropy: 0.5848, recall: 0.9143, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.723, scimark_benchmark: 1837.7149, usercpu_time_millis: 8.75, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 7.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.799, kappa: 0.0186, kb_relative_information_score: 720.6488, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8807, predictive_accuracy: 0.8615, prior_entropy: 0.5848, recall: 0.8615, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.875, scimark_benchmark: 1850.2875, usercpu_time_millis: 4.242, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 3.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2285.7095, mean_absolute_error: 0.0663, 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: 0.2752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5159, scimark_benchmark: 1839.272, usercpu_time_millis: 1673.613, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 1672.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 2658.5986, mean_absolute_error: 0.0403, 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: 0.1673, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4059, scimark_benchmark: 2061.8443, usercpu_time_millis: 1259.603, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 1257.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9685, kappa: 0.8661, kb_relative_information_score: 2549.3077, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9686, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4452, scimark_benchmark: 1822.7708, usercpu_time_millis: 1030.263, usercpu_time_millis_testing: 1.763, usercpu_time_millis_training: 1028.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9593, kappa: 0.8318, kb_relative_information_score: 2260.739, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.4995, scimark_benchmark: 1839.7857, usercpu_time_millis: 450.72, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 449.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9765, kappa: 0.9014, kb_relative_information_score: 2682.3366, mean_absolute_error: 0.0375, 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: 0.1554, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4048, scimark_benchmark: 1841.6688, usercpu_time_millis: 309.35, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 308.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.975, kappa: 0.8952, kb_relative_information_score: 2679.6954, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4202, scimark_benchmark: 1837.1955, usercpu_time_millis: 5688.123, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 5685.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2547.691, mean_absolute_error: 0.0475, 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: 0.1971, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4389, scimark_benchmark: 1739.0406, usercpu_time_millis: 3137.439, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 3135.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9586, kappa: 0.8297, kb_relative_information_score: 2285.4229, mean_absolute_error: 0.0659, 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: 0.2736, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.5287, scimark_benchmark: 1830.387, usercpu_time_millis: 1849.422, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 1848.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9592, kappa: 0.8322, kb_relative_information_score: 2287.0746, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5206, scimark_benchmark: 1842.8383, usercpu_time_millis: 1646.395, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 1645.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9727, kappa: 0.8848, kb_relative_information_score: 2629.8397, mean_absolute_error: 0.0422, 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: 0.1752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4193, scimark_benchmark: 1845.9141, usercpu_time_millis: 1233.372, usercpu_time_millis_testing: 1.573, usercpu_time_millis_training: 1231.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9577, kappa: 0.8262, kb_relative_information_score: 2273.0512, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9583, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.5394, scimark_benchmark: 1845.3975, usercpu_time_millis: 971.182, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 970.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9694, kappa: 0.8702, kb_relative_information_score: 2532.8768, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.444, scimark_benchmark: 1954.7456, usercpu_time_millis: 682.061, usercpu_time_millis_testing: 1.973, usercpu_time_millis_training: 680.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9599, kappa: 0.834, kb_relative_information_score: 2279.4618, mean_absolute_error: 0.068, 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: 0.2823, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5102, scimark_benchmark: 1858.6775, usercpu_time_millis: 677.12, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 675.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9604, kappa: 0.8356, kb_relative_information_score: 2247.598, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4978, scimark_benchmark: 2137.4483, usercpu_time_millis: 650.28, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 648.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9755, kappa: 0.8962, kb_relative_information_score: 2625.7671, mean_absolute_error: 0.044, 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: 0.1828, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4077, scimark_benchmark: 1852.9925, usercpu_time_millis: 584.688, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 582.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9735, kappa: 0.8866, kb_relative_information_score: 2446.7419, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9745, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4495, scimark_benchmark: 1845.1352, usercpu_time_millis: 158.393, usercpu_time_millis_testing: 3.035, usercpu_time_millis_training: 155.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9746, kappa: 0.8914, kb_relative_information_score: 2440.578, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4423, scimark_benchmark: 1830.797, usercpu_time_millis: 143.201, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 140.461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.3336, 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: 1837.1955, usercpu_time_millis: 6.93, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 5.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.4974, 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: 1852.9259, usercpu_time_millis: 4.472, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 3.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.7953, kb_relative_information_score: -19.6016, 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: 0.9982, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 2.944, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 2.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2285.8335, mean_absolute_error: 0.0663, 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: 0.275, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5271, scimark_benchmark: 1730.591, usercpu_time_millis: 4874.857, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 4872.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9594, kappa: 0.8324, kb_relative_information_score: 2287.9119, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5238, scimark_benchmark: 1767.7769, usercpu_time_millis: 3600.82, usercpu_time_millis_testing: 2.407, usercpu_time_millis_training: 3598.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9595, kappa: 0.8323, kb_relative_information_score: 2264.0175, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.504, scimark_benchmark: 1732.0396, usercpu_time_millis: 2988.084, usercpu_time_millis_testing: 3.702, usercpu_time_millis_training: 2984.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9695, kappa: 0.8717, kb_relative_information_score: 2417.9696, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4654, scimark_benchmark: 1810.0769, usercpu_time_millis: 2649.042, usercpu_time_millis_testing: 2.084, usercpu_time_millis_training: 2646.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9729, kappa: 0.8865, kb_relative_information_score: 2688.0019, mean_absolute_error: 0.0357, 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: 0.148, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.422, scimark_benchmark: 1766.0287, usercpu_time_millis: 5912.008, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 5909.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9738, kappa: 0.8904, kb_relative_information_score: 2708.3546, mean_absolute_error: 0.0348, 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: 0.1446, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4153, scimark_benchmark: 1746.5459, usercpu_time_millis: 6703.847, usercpu_time_millis_testing: 3.334, usercpu_time_millis_training: 6700.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2559.1808, mean_absolute_error: 0.0468, 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: 0.1943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4455, scimark_benchmark: 1838.5555, usercpu_time_millis: 1857.563, usercpu_time_millis_testing: 1.543, usercpu_time_millis_training: 1856.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9711, kappa: 0.8779, kb_relative_information_score: 2500.9725, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4513, scimark_benchmark: 1771.0132, usercpu_time_millis: 1741.518, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 1740.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9708, kappa: 0.8767, kb_relative_information_score: 2411.3139, mean_absolute_error: 0.0592, 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: 0.2458, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4593, scimark_benchmark: 1730.6397, usercpu_time_millis: 1377.867, usercpu_time_millis_testing: 2.512, usercpu_time_millis_training: 1375.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9587, kappa: 0.8296, kb_relative_information_score: 2340.9881, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.4914, scimark_benchmark: 1728.4686, usercpu_time_millis: 5738.016, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 5735.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9717, kappa: 0.8803, kb_relative_information_score: 2533.6377, 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: 0.2026, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4451, scimark_benchmark: 1730.8827, usercpu_time_millis: 980.704, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 979.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9619, kappa: 0.8421, kb_relative_information_score: 2235.7763, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.962, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4967, scimark_benchmark: 1810.0769, usercpu_time_millis: 783.848, usercpu_time_millis_testing: 2.072, usercpu_time_millis_training: 781.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9733, kappa: 0.8872, kb_relative_information_score: 2619.9393, mean_absolute_error: 0.0436, 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: 0.1811, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4143, scimark_benchmark: 1773.748, usercpu_time_millis: 766.422, usercpu_time_millis_testing: 1.946, usercpu_time_millis_training: 764.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9675, kappa: 0.8622, kb_relative_information_score: 2492.5634, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4545, scimark_benchmark: 1725.9774, usercpu_time_millis: 333.633, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 332.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9588, kappa: 0.8299, kb_relative_information_score: 2284.0348, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5276, scimark_benchmark: 2125.822, usercpu_time_millis: 4985.82, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 4983.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9743, kappa: 0.8918, kb_relative_information_score: 2656.1095, mean_absolute_error: 0.0396, 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: 0.1646, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.4161, scimark_benchmark: 1736.5552, usercpu_time_millis: 4962.247, usercpu_time_millis_testing: 3.05, usercpu_time_millis_training: 4959.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9762, kappa: 0.9002, kb_relative_information_score: 2684.0455, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4102, scimark_benchmark: 1806.3762, usercpu_time_millis: 126.601, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 125.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.971, kappa: 0.8769, kb_relative_information_score: 2334.3319, mean_absolute_error: 0.0662, 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: 0.2749, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4756, scimark_benchmark: 1712.9329, usercpu_time_millis: 117.485, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 116.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9596, kappa: 0.8329, kb_relative_information_score: 2292.733, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5175, scimark_benchmark: 1800.9594, usercpu_time_millis: 71.135, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 70.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -5.4416, 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: 1771.3726, usercpu_time_millis: 4.643, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 3.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.3403, 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: 1732.6913, usercpu_time_millis: 6.366, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9586, kappa: 0.8294, kb_relative_information_score: 2287.1333, mean_absolute_error: 0.0659, 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: 0.2737, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5243, scimark_benchmark: 1783.986, usercpu_time_millis: 4590.085, usercpu_time_millis_testing: 2.637, usercpu_time_millis_training: 4587.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9768, kappa: 0.9026, kb_relative_information_score: 2684.248, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4022, scimark_benchmark: 1742.607, usercpu_time_millis: 4490.442, usercpu_time_millis_testing: 3.568, usercpu_time_millis_training: 4486.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9723, kappa: 0.8827, kb_relative_information_score: 2581.1122, mean_absolute_error: 0.0461, 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: 0.1912, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4372, scimark_benchmark: 807.2343, usercpu_time_millis: 2876.263, usercpu_time_millis_testing: 4.081, usercpu_time_millis_training: 2872.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9718, kappa: 0.8812, kb_relative_information_score: 2624.2312, mean_absolute_error: 0.0396, 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: 0.1645, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4418, scimark_benchmark: 2147.7337, usercpu_time_millis: 3708.21, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 3706.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9753, kappa: 0.8962, kb_relative_information_score: 2651.6014, mean_absolute_error: 0.039, 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: 0.162, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4178, scimark_benchmark: 1717.4117, usercpu_time_millis: 4040.444, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 4038.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9712, kappa: 0.8783, kb_relative_information_score: 2402.1159, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4561, scimark_benchmark: 1113.2509, usercpu_time_millis: 1911.113, usercpu_time_millis_testing: 4.353, usercpu_time_millis_training: 1906.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9593, kappa: 0.8318, kb_relative_information_score: 2280.1816, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5106, scimark_benchmark: 1802.0835, usercpu_time_millis: 1660.132, usercpu_time_millis_testing: 1.795, usercpu_time_millis_training: 1658.337,

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