Task
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: 0.9758, f_measure: 0.9698, kappa: 0.8706, kb_relative_information_score: 1949.4994, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.4999, scimark_benchmark: 1258.3296, usercpu_time_millis: 4170.054, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 4167.913,
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: 1236.3423, usercpu_time_millis: 1744.976, usercpu_time_millis_testing: 1.464, usercpu_time_millis_training: 1743.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.922, kappa: 0.6507, kb_relative_information_score: 1573.7394, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9274, predictive_accuracy: 0.9292, prior_entropy: 0.5848, recall: 0.9292, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.68, scimark_benchmark: 1252.7827, usercpu_time_millis: 4140.214, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 4138.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 992.1796, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.7995, scimark_benchmark: 1264.2776, usercpu_time_millis: 9502.448, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 9501.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1084.8922, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7905, scimark_benchmark: 1250.5385, usercpu_time_millis: 2218.295, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 2216.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9599, kappa: 0.8283, kb_relative_information_score: 2359.0757, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5152, scimark_benchmark: 1262.5689, usercpu_time_millis: 3842.797, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 3840.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.7953, kb_relative_information_score: 430.2127, mean_absolute_error: 0.2118, 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: 0.879, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8667, scimark_benchmark: 1264.5058, usercpu_time_millis: 7075.82, usercpu_time_millis_testing: 2.46, usercpu_time_millis_training: 7073.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9142, kappa: 0.6103, kb_relative_information_score: 1199.5467, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9238, predictive_accuracy: 0.9241, prior_entropy: 0.5848, recall: 0.9241, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7403, scimark_benchmark: 1258.2392, usercpu_time_millis: 3293.535, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 3292.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9007, kappa: 0.5384, kb_relative_information_score: -626.9482, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9221, predictive_accuracy: 0.9161, prior_entropy: 0.5848, recall: 0.9161, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.8002, scimark_benchmark: 1240.194, usercpu_time_millis: 3250.766, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 3249.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7953, kb_relative_information_score: -109.0553, 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: 0.3395, root_relative_squared_error: 0.9783, scimark_benchmark: 1257.6637, usercpu_time_millis: 207.435, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 206.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9697, kappa: 0.8716, kb_relative_information_score: 2675.0265, mean_absolute_error: 0.0396, 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: 0.1644, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.162, root_relative_squared_error: 0.4669, scimark_benchmark: 1244.5134, usercpu_time_millis: 10094.503, usercpu_time_millis_testing: 4.559, usercpu_time_millis_training: 10089.944,
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: 1244.2107, usercpu_time_millis: 7767.396, usercpu_time_millis_testing: 2.441, usercpu_time_millis_training: 7764.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.917, kappa: 0.6197, kb_relative_information_score: 1204.048, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9322, predictive_accuracy: 0.9277, prior_entropy: 0.5848, recall: 0.9277, relative_absolute_error: 0.6916, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.6898, scimark_benchmark: 1259.506, usercpu_time_millis: 7426.477, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 7425.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9606, kappa: 0.8294, kb_relative_information_score: 2378.4027, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4935, scimark_benchmark: 1260.418, usercpu_time_millis: 4287.688, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 4286.716,
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: 1252.1674, usercpu_time_millis: 3576.96, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 3574.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.9104, kappa: 0.5964, kb_relative_information_score: 1306.1897, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9158, predictive_accuracy: 0.9195, prior_entropy: 0.5848, recall: 0.9195, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.7399, scimark_benchmark: 1255.1054, usercpu_time_millis: 10870.075, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 10869.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9589, kappa: 0.8225, kb_relative_information_score: 2290.6478, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5255, scimark_benchmark: 1255.5466, usercpu_time_millis: 3024.148, usercpu_time_millis_testing: 1.956, usercpu_time_millis_training: 3022.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7953, kb_relative_information_score: -6695.1533, mean_absolute_error: 0.4585, 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: 1.9032, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.3249, scimark_benchmark: 1248.7214, usercpu_time_millis: 52.082, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 51.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9597, kappa: 0.8251, kb_relative_information_score: 2283.6208, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5186, scimark_benchmark: 1235.1471, usercpu_time_millis: 3901.64, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 3900.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9422, kappa: 0.745, kb_relative_information_score: 1895.3989, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9461, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.211, root_relative_squared_error: 0.608, scimark_benchmark: 1261.5847, usercpu_time_millis: 10429.703, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 10428.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.9053, kappa: 0.5705, kb_relative_information_score: 1190.3376, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.912, predictive_accuracy: 0.9158, prior_entropy: 0.5848, recall: 0.9158, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.7668, scimark_benchmark: 1253.318, usercpu_time_millis: 2889.928, usercpu_time_millis_testing: 0.885, usercpu_time_millis_training: 2889.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9117, kappa: 0.5959, kb_relative_information_score: 1109.3285, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9244, predictive_accuracy: 0.9228, prior_entropy: 0.5848, recall: 0.9228, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.7431, scimark_benchmark: 1236.49, usercpu_time_millis: 10159.844, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 10159.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9598, kappa: 0.8249, kb_relative_information_score: 2047.498, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.5325, scimark_benchmark: 1251.0072, usercpu_time_millis: 6578.317, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 6577.473,
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: 1267.735, usercpu_time_millis: 10100.252, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 10097.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7953, kb_relative_information_score: 108.5003, mean_absolute_error: 0.2276, 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: 0.9445, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.9513, scimark_benchmark: 1257.7321, usercpu_time_millis: 1591.69, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 1590.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9713, kappa: 0.8781, kb_relative_information_score: 2657.5933, mean_absolute_error: 0.0424, 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: 0.1759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4338, scimark_benchmark: 1252.8344, usercpu_time_millis: 2717.944, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 2717.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1022.0403, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.7953, scimark_benchmark: 1258.0085, usercpu_time_millis: 7734.69, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 7733.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.9066, kappa: 0.5734, kb_relative_information_score: 646.9333, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9174, predictive_accuracy: 0.9183, prior_entropy: 0.5848, recall: 0.9183, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.285, root_relative_squared_error: 0.8214, scimark_benchmark: 1251.0888, usercpu_time_millis: 306.77, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 305.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9412, kappa: 0.7383, kb_relative_information_score: 1832.0198, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9471, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.601, scimark_benchmark: 1263.7501, usercpu_time_millis: 7609.44, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 7608.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9324, kappa: 0.7, kb_relative_information_score: 1710.1191, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9366, predictive_accuracy: 0.9378, prior_entropy: 0.5848, recall: 0.9378, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.6579, scimark_benchmark: 1266.595, usercpu_time_millis: 3755.952, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 3755.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9632, kappa: 0.8402, kb_relative_information_score: 2388.6726, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9653, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.4912, scimark_benchmark: 1262.7709, usercpu_time_millis: 7285.7, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 7282.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.9107, kappa: 0.5975, kb_relative_information_score: 1315.0448, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9162, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7378, scimark_benchmark: 1264.9042, usercpu_time_millis: 6929.483, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 6928.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7953, kb_relative_information_score: 357.3555, mean_absolute_error: 0.2112, 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: 0.8766, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.311, root_relative_squared_error: 0.8964, scimark_benchmark: 1249.1057, usercpu_time_millis: 6624.855, usercpu_time_millis_testing: 2.581, usercpu_time_millis_training: 6622.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.8988, kappa: 0.5444, kb_relative_information_score: 917.0425, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9016, predictive_accuracy: 0.9088, prior_entropy: 0.5848, recall: 0.9088, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8156, scimark_benchmark: 1244.9084, usercpu_time_millis: 6415.151, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 6414.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.9206, kappa: 0.6435, kb_relative_information_score: 1052.1524, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9268, predictive_accuracy: 0.9283, prior_entropy: 0.5848, recall: 0.9283, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7583, scimark_benchmark: 1243.0668, usercpu_time_millis: 5219.336, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 5217.268,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8549, kappa: 0.306, kb_relative_information_score: 974.4568, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8959, predictive_accuracy: 0.8878, prior_entropy: 0.5848, recall: 0.8878, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.8117, scimark_benchmark: 1260.9456, usercpu_time_millis: 4.81, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 4.528,
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: 1265.8843, usercpu_time_millis: 3.956, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 3.694,
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: 1244.8188, usercpu_time_millis: 4.043, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 3.774,
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: 1263.8914, usercpu_time_millis: 3.992, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 3.731,
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: 1257.7956, usercpu_time_millis: 5.256, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 4.969,
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: 1252.3937, usercpu_time_millis: 4.317, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 4.008,
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: 1263.2907, usercpu_time_millis: 4.04, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 3.752,
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: 1272.4715, usercpu_time_millis: 4.709, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 4.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7527, kappa: 0.2855, kb_relative_information_score: -582.6096, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8604, predictive_accuracy: 0.7097, prior_entropy: 0.5848, recall: 0.7097, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.9289, scimark_benchmark: 1254.0874, usercpu_time_millis: 2449.181, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 2448.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.6935, kappa: 0.2435, kb_relative_information_score: -1472.3689, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8708, predictive_accuracy: 0.6386, prior_entropy: 0.5848, recall: 0.6386, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9788, scimark_benchmark: 1255.2954, usercpu_time_millis: 989.315, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 988.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.562, f_measure: 0.3209, kappa: 0.0486, kb_relative_information_score: -7861.7584, mean_absolute_error: 0.6262, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8486, predictive_accuracy: 0.3031, prior_entropy: 0.5848, recall: 0.3031, relative_absolute_error: 2.5991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.7577, root_relative_squared_error: 2.1839, scimark_benchmark: 1250.2006, usercpu_time_millis: 6063.686, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 6063.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8918, kappa: 0.5896, kb_relative_information_score: 1392.9119, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9076, predictive_accuracy: 0.8838, prior_entropy: 0.5848, recall: 0.8838, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.649, scimark_benchmark: 1254.8289, usercpu_time_millis: 220.936, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 220.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.5307, kappa: 0.1226, kb_relative_information_score: -3421.0139, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8567, predictive_accuracy: 0.4703, prior_entropy: 0.5848, recall: 0.4703, relative_absolute_error: 1.3344, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4009, root_relative_squared_error: 1.1553, scimark_benchmark: 1223.0215, usercpu_time_millis: 2528.505, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2528.194,
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: 1254.7128, usercpu_time_millis: 4.511, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 4.217,
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: 1237.9827, usercpu_time_millis: 4.607, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 4.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.9208, kappa: 0.6392, kb_relative_information_score: 1959.298, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9331, predictive_accuracy: 0.9302, prior_entropy: 0.5848, recall: 0.9302, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.748, scimark_benchmark: 1214.4459, usercpu_time_millis: 429.377, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 429.082,
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: 1249.4828, usercpu_time_millis: 5.422, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 5.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9117, kappa: 0.5937, kb_relative_information_score: 1442.4928, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9283, predictive_accuracy: 0.9238, prior_entropy: 0.5848, recall: 0.9238, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.7075, scimark_benchmark: 1244.182, usercpu_time_millis: 4.711, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 4.43,
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: 1257.5045, usercpu_time_millis: 3.792, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 3.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8281, kappa: 0.4373, kb_relative_information_score: 501.4412, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8889, predictive_accuracy: 0.803, prior_entropy: 0.5848, recall: 0.803, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.7706, scimark_benchmark: 1241.777, usercpu_time_millis: 397.551, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 397.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.3229, kappa: 0.0537, kb_relative_information_score: -5419.8081, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8591, predictive_accuracy: 0.3059, prior_entropy: 0.5848, recall: 0.3059, relative_absolute_error: 1.708, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.3048, scimark_benchmark: 1251.3308, usercpu_time_millis: 5976.687, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5976.407,
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: 1239.2938, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 4.04,
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: 1258.184, usercpu_time_millis: 4.624, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 4.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.962, kappa: 0.8345, kb_relative_information_score: 2288.4411, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9647, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.3402, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.507, scimark_benchmark: 1261.6047, usercpu_time_millis: 8.24, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 7.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.9281, kappa: 0.6747, kb_relative_information_score: 1671.8666, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9389, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.6561, scimark_benchmark: 1268.1595, usercpu_time_millis: 4.783, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 4.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8875, kappa: 0.4726, kb_relative_information_score: 1179.5357, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9138, predictive_accuracy: 0.9073, prior_entropy: 0.5848, recall: 0.9073, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.7656, scimark_benchmark: 1237.3678, usercpu_time_millis: 4.302, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.942,
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: 1266.8593, usercpu_time_millis: 4.319, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 3.979,
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: 1247.2466, usercpu_time_millis: 4.295, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 3.998,
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: 1257.3236, usercpu_time_millis: 3.912, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 3.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.954, kappa: 0.7976, kb_relative_information_score: 2095.3192, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.5546, scimark_benchmark: 1259.8608, usercpu_time_millis: 6.543, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 6.238,
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: 1266.0373, usercpu_time_millis: 4.801, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 4.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9159, kappa: 0.6144, kb_relative_information_score: 1569.8724, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.931, predictive_accuracy: 0.9268, prior_entropy: 0.5848, recall: 0.9268, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.6793, scimark_benchmark: 1236.585, usercpu_time_millis: 4.181, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.904,

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