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: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1292.9498, usercpu_time_millis: 97.738, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 96.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7953, kb_relative_information_score: -2911.7985, mean_absolute_error: 0.3083, 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: 1.2795, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.0286, scimark_benchmark: 1294.3966, usercpu_time_millis: 297.507, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 296.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7953, kb_relative_information_score: -654.3323, mean_absolute_error: 0.249, 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: 1.0336, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9144, scimark_benchmark: 1302.9345, usercpu_time_millis: 138.256, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 137.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9125, kappa: 0.6, kb_relative_information_score: 958.0022, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.925, predictive_accuracy: 0.9235, prior_entropy: 0.5848, recall: 0.9235, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.7875, scimark_benchmark: 1305.0961, usercpu_time_millis: 757.936, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 756.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7953, kb_relative_information_score: -5476.9831, mean_absolute_error: 0.398, 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: 1.652, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.406, root_relative_squared_error: 1.1701, scimark_benchmark: 1282.0533, usercpu_time_millis: 288.002, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 286.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.9404, kappa: 0.7337, kb_relative_information_score: -3928.5967, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9478, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 1.4038, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.0286, scimark_benchmark: 1302.2696, usercpu_time_millis: 97.337, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 96.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9331, kappa: 0.7008, kb_relative_information_score: -5337.2666, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9393, predictive_accuracy: 0.939, prior_entropy: 0.5848, recall: 0.939, relative_absolute_error: 1.6192, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3946, root_relative_squared_error: 1.1372, scimark_benchmark: 1286.5357, usercpu_time_millis: 131.714, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 130.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9617, kappa: 0.8336, kb_relative_information_score: 2287.8006, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4983, scimark_benchmark: 1292.0686, usercpu_time_millis: 749.495, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 748.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9679, kappa: 0.8637, kb_relative_information_score: 2479.8139, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.968, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4613, scimark_benchmark: 1278.5804, usercpu_time_millis: 676.366, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 675.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9704, kappa: 0.8731, kb_relative_information_score: 2401.1094, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.4549, scimark_benchmark: 1295.1748, usercpu_time_millis: 246.847, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 246.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9608, kappa: 0.8296, kb_relative_information_score: 978.7341, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9631, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.6058, scimark_benchmark: 1263.3164, usercpu_time_millis: 112.1, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 111.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9605, kappa: 0.8287, kb_relative_information_score: 992.5427, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6072, scimark_benchmark: 1276.8017, usercpu_time_millis: 89.813, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 88.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8781, kappa: 0.4245, kb_relative_information_score: -464.6376, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9093, predictive_accuracy: 0.9015, prior_entropy: 0.5848, recall: 0.9015, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.8145, scimark_benchmark: 1286.6782, usercpu_time_millis: 522.407, usercpu_time_millis_testing: 1.153, usercpu_time_millis_training: 521.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 875.4731, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.8281, scimark_benchmark: 1289.7983, usercpu_time_millis: 298.568, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 297.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7953, kb_relative_information_score: -7151.7264, mean_absolute_error: 0.4846, 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: 2.0114, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.3974, scimark_benchmark: 1282.7697, usercpu_time_millis: 223.617, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 222.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8004, kappa: 0.0259, kb_relative_information_score: -6963.4348, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8812, predictive_accuracy: 0.8622, prior_entropy: 0.5848, recall: 0.8622, relative_absolute_error: 1.9656, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.366, scimark_benchmark: 1259.893, usercpu_time_millis: 81.404, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 80.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 889.8017, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.822, scimark_benchmark: 1278.8387, usercpu_time_millis: 537.154, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 536.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1266.8328, usercpu_time_millis: 606.096, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 605.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7953, kb_relative_information_score: -54.4626, mean_absolute_error: 0.241, 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: 1.0002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.997, scimark_benchmark: 1281.306, usercpu_time_millis: 314.329, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 313.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7953, kb_relative_information_score: -1834.9596, mean_absolute_error: 0.2776, 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: 1.1524, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9703, scimark_benchmark: 1273.9789, usercpu_time_millis: 70.85, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 70.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9503, kappa: 0.7832, kb_relative_information_score: 2092.5938, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9524, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5686, scimark_benchmark: 1280.1598, usercpu_time_millis: 780.176, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 779.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8847, kappa: 0.4578, kb_relative_information_score: -2121.8032, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9137, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 1.1438, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.9061, scimark_benchmark: 1267.3415, usercpu_time_millis: 669.64, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 668.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9326, kappa: 0.6968, kb_relative_information_score: 1728.5345, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9415, predictive_accuracy: 0.9393, prior_entropy: 0.5848, recall: 0.9393, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6367, scimark_benchmark: 1273.4155, usercpu_time_millis: 536.143, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 535.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.9511, kappa: 0.7909, kb_relative_information_score: 2121.7925, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9512, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6101, scimark_benchmark: 1314.0481, usercpu_time_millis: 25.732, usercpu_time_millis_testing: 3.662, usercpu_time_millis_training: 22.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1286.8118, usercpu_time_millis: 20.379, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 16.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1276.5318, usercpu_time_millis: 17.515, usercpu_time_millis_testing: 3.451, usercpu_time_millis_training: 14.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1288.4067, usercpu_time_millis: 15.598, usercpu_time_millis_testing: 3.199, usercpu_time_millis_training: 12.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1264.5643, usercpu_time_millis: 13.173, usercpu_time_millis_testing: 3.071, usercpu_time_millis_training: 10.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.8806, kappa: 0.4431, kb_relative_information_score: 945.4898, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.9003, prior_entropy: 0.5848, recall: 0.9003, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8628, scimark_benchmark: 1292.0214, usercpu_time_millis: 14.527, usercpu_time_millis_testing: 3.278, usercpu_time_millis_training: 11.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1268.7447, usercpu_time_millis: 14.528, usercpu_time_millis_testing: 3.122, usercpu_time_millis_training: 11.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1277.6373, usercpu_time_millis: 13.317, usercpu_time_millis_testing: 3.077, usercpu_time_millis_training: 10.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1291.2829, usercpu_time_millis: 13.851, usercpu_time_millis_testing: 3.222, usercpu_time_millis_training: 10.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1269.2825, usercpu_time_millis: 13.634, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 10.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1290.7104, usercpu_time_millis: 14.169, usercpu_time_millis_testing: 3.217, usercpu_time_millis_training: 10.952,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1272.7119, usercpu_time_millis: 14.119, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 10.93,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1258.1652, usercpu_time_millis: 13.943, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 10.847,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1273.5495, usercpu_time_millis: 15.655, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 12.265,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9404, kappa: 0.7394, kb_relative_information_score: 1893.4301, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9422, predictive_accuracy: 0.9439, prior_entropy: 0.5848, recall: 0.9439, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.6613, scimark_benchmark: 1285.3523, usercpu_time_millis: 20.388, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 17.104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1267.6083, usercpu_time_millis: 16.12, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 12.802,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1287.2316, usercpu_time_millis: 15.71, usercpu_time_millis_testing: 3.298, usercpu_time_millis_training: 12.412,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1288.092, usercpu_time_millis: 13.993, usercpu_time_millis_testing: 3.169, usercpu_time_millis_training: 10.824,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1297.363, usercpu_time_millis: 13.601, usercpu_time_millis_testing: 3.214, usercpu_time_millis_training: 10.387,

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