Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9554, kappa: 0.8041, kb_relative_information_score: 1570.0326, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5799, scimark_benchmark: 1282.0182, usercpu_time_millis: 1705.125, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 1703.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2664.0497, mean_absolute_error: 0.0405, 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: 0.1683, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4365, scimark_benchmark: 1281.1032, usercpu_time_millis: 3190.471, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 3189.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2729.9245, mean_absolute_error: 0.0344, 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: 0.1429, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4379, scimark_benchmark: 1250.0997, usercpu_time_millis: 6537.862, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 6535.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.8665, kappa: 0.3661, kb_relative_information_score: 297.9835, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8992, predictive_accuracy: 0.8939, prior_entropy: 0.5848, recall: 0.8939, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8462, scimark_benchmark: 1275.2986, usercpu_time_millis: 6624.081, usercpu_time_millis_testing: 0.847, usercpu_time_millis_training: 6623.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7953, kb_relative_information_score: -6684.5438, mean_absolute_error: 0.458, 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: 1.9011, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4598, root_relative_squared_error: 1.3252, scimark_benchmark: 1287.8384, usercpu_time_millis: 530.93, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 529.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.9113, kappa: 0.5969, kb_relative_information_score: 751.0193, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9206, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8131, scimark_benchmark: 1252.1769, usercpu_time_millis: 4102.689, usercpu_time_millis_testing: 1.819, usercpu_time_millis_training: 4100.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.9041, kappa: 0.5599, kb_relative_information_score: 268.2288, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9166, predictive_accuracy: 0.9167, prior_entropy: 0.5848, recall: 0.9167, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8612, scimark_benchmark: 1270.8216, usercpu_time_millis: 5112.735, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 5110.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9363, kappa: 0.7152, kb_relative_information_score: 1779.287, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9434, predictive_accuracy: 0.9421, prior_entropy: 0.5848, recall: 0.9421, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.6087, scimark_benchmark: 1342.4885, usercpu_time_millis: 7430.536, usercpu_time_millis_testing: 0.947, usercpu_time_millis_training: 7429.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8741, kappa: 0.4041, kb_relative_information_score: 1231.7661, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9072, predictive_accuracy: 0.8991, prior_entropy: 0.5848, recall: 0.8991, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7591, scimark_benchmark: 1255.1496, usercpu_time_millis: 2476.887, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 2474.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9258, kappa: 0.6631, kb_relative_information_score: 1715.5887, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9373, predictive_accuracy: 0.9341, prior_entropy: 0.5848, recall: 0.9341, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.225, root_relative_squared_error: 0.6484, scimark_benchmark: 1276.8014, usercpu_time_millis: 1734.76, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 1733.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9698, kappa: 0.8709, kb_relative_information_score: 2610.8488, mean_absolute_error: 0.0502, 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: 0.2083, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4348, scimark_benchmark: 1304.424, usercpu_time_millis: 7856.17, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 7855.102,
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: 1270.2135, usercpu_time_millis: 5196.985, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 5195.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.9061, kappa: 0.5746, kb_relative_information_score: 1213.6446, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9127, predictive_accuracy: 0.9164, prior_entropy: 0.5848, recall: 0.9164, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7595, scimark_benchmark: 1274.589, usercpu_time_millis: 4186.043, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 4184.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9705, kappa: 0.874, kb_relative_information_score: 2621.25, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4353, scimark_benchmark: 1309.8436, usercpu_time_millis: 10440.404, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 10439.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8236, kappa: 0.1444, kb_relative_information_score: 300.5086, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.889, predictive_accuracy: 0.8725, prior_entropy: 0.5848, recall: 0.8725, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.8831, scimark_benchmark: 1255.0752, usercpu_time_millis: 1482.487, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 1481.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9584, kappa: 0.8199, kb_relative_information_score: 2275.6885, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.5282, scimark_benchmark: 1275.6405, usercpu_time_millis: 445.623, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 444.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9718, kappa: 0.8807, kb_relative_information_score: 2686.4915, mean_absolute_error: 0.0376, 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: 0.1562, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4337, scimark_benchmark: 1249.5126, usercpu_time_millis: 4013.359, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 4012.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9683, kappa: 0.8639, kb_relative_information_score: 2492.9115, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.465, scimark_benchmark: 1312.4875, usercpu_time_millis: 4604.843, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 4604.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9608, kappa: 0.8319, kb_relative_information_score: 2405.7749, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9615, predictive_accuracy: 0.9622, prior_entropy: 0.5848, recall: 0.9622, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5006, scimark_benchmark: 1271.2556, usercpu_time_millis: 3744.851, usercpu_time_millis_testing: 1.792, usercpu_time_millis_training: 3743.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8966, kappa: 0.5194, kb_relative_information_score: 525.2277, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9167, predictive_accuracy: 0.9128, prior_entropy: 0.5848, recall: 0.9128, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7595, scimark_benchmark: 1250.7887, usercpu_time_millis: 1032.098, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 1031.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9318, kappa: 0.6922, kb_relative_information_score: 1783.8381, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9422, predictive_accuracy: 0.939, prior_entropy: 0.5848, recall: 0.939, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.6301, scimark_benchmark: 1328.3543, usercpu_time_millis: 8728.53, usercpu_time_millis_testing: 11.298, usercpu_time_millis_training: 8717.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.9054, kappa: 0.5645, kb_relative_information_score: 674.5834, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.921, predictive_accuracy: 0.9186, prior_entropy: 0.5848, recall: 0.9186, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.8058, scimark_benchmark: 1331.2707, usercpu_time_millis: 4367.106, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 4366.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9668, kappa: 0.8578, kb_relative_information_score: 2458.993, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.4778, scimark_benchmark: 1329.1307, usercpu_time_millis: 8394.825, usercpu_time_millis_testing: 3.473, usercpu_time_millis_training: 8391.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9099, kappa: 0.5935, kb_relative_information_score: 1277.9778, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9156, predictive_accuracy: 0.9192, prior_entropy: 0.5848, recall: 0.9192, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7437, scimark_benchmark: 1307.7583, usercpu_time_millis: 7863.478, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 7862.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1097.0966, mean_absolute_error: 0.1554, 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: 0.6452, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.789, scimark_benchmark: 1338.3975, usercpu_time_millis: 7792.545, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 7791.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.8988, kappa: 0.5444, kb_relative_information_score: 930.4393, mean_absolute_error: 0.1663, 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: 0.6902, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8107, scimark_benchmark: 1280.8277, usercpu_time_millis: 7744.811, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 7743.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9732, kappa: 0.8861, kb_relative_information_score: 2681.027, mean_absolute_error: 0.0399, 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: 0.1657, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4233, scimark_benchmark: 1342.0162, usercpu_time_millis: 7552.029, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 7550.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9335, kappa: 0.7004, kb_relative_information_score: 1268.9345, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.943, predictive_accuracy: 0.9402, prior_entropy: 0.5848, recall: 0.9402, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6551, scimark_benchmark: 1274.3927, usercpu_time_millis: 542.913, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 541.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.9066, kappa: 0.5734, kb_relative_information_score: 420.5947, mean_absolute_error: 0.1835, 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: 0.7614, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.844, scimark_benchmark: 1327.1266, usercpu_time_millis: 6622.734, usercpu_time_millis_testing: 2.472, usercpu_time_millis_training: 6620.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9106, kappa: 0.5966, kb_relative_information_score: 1327.7728, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9164, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7382, scimark_benchmark: 1313.8029, usercpu_time_millis: 2240.788, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 2239.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.9186, kappa: 0.6361, kb_relative_information_score: 1114.5053, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9229, predictive_accuracy: 0.9259, prior_entropy: 0.5848, recall: 0.9259, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7566, scimark_benchmark: 1302.4604, usercpu_time_millis: 6291.989, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 6290.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9196, kappa: 0.6327, kb_relative_information_score: 1615.0432, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9335, predictive_accuracy: 0.9296, prior_entropy: 0.5848, recall: 0.9296, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.6688, scimark_benchmark: 1279.5598, usercpu_time_millis: 5761.831, usercpu_time_millis_testing: 4.33, usercpu_time_millis_training: 5757.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, f_measure: 0.7953, kb_relative_information_score: -1085.0174, mean_absolute_error: 0.2612, 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: 1.084, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.9826, scimark_benchmark: 1310.0497, usercpu_time_millis: 641.835, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 640.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1083.4247, mean_absolute_error: 0.1565, 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: 0.6497, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.7907, scimark_benchmark: 1309.6775, usercpu_time_millis: 5458.341, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 5457.472,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9499, kappa: 0.7811, kb_relative_information_score: 2183.1701, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9522, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.5815, scimark_benchmark: 1319.6281, usercpu_time_millis: 1316.629, usercpu_time_millis_testing: 24.943, usercpu_time_millis_training: 1291.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8666, kappa: 0.3701, kb_relative_information_score: 632.8485, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8895, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8588, scimark_benchmark: 1322.5347, usercpu_time_millis: 3697.945, usercpu_time_millis_testing: 54.243, usercpu_time_millis_training: 3643.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9556, kappa: 0.808, kb_relative_information_score: 2274.276, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9569, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5287, scimark_benchmark: 1315.6686, usercpu_time_millis: 573.062, usercpu_time_millis_testing: 14.191, usercpu_time_millis_training: 558.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8623, kappa: 0.3447, kb_relative_information_score: 345.2299, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8967, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8611, scimark_benchmark: 1295.0902, usercpu_time_millis: 3643.843, usercpu_time_millis_testing: 62.376, usercpu_time_millis_training: 3581.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9713, kappa: 0.8772, kb_relative_information_score: 2636.8836, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4436, scimark_benchmark: 1280.1812, usercpu_time_millis: 900.823, usercpu_time_millis_testing: 18.597, usercpu_time_millis_training: 882.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9526, kappa: 0.7914, kb_relative_information_score: 2264.4098, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.5457, scimark_benchmark: 1297.6294, usercpu_time_millis: 1809.974, usercpu_time_millis_testing: 31.787, usercpu_time_millis_training: 1778.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 249.931, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8607, scimark_benchmark: 1315.3357, usercpu_time_millis: 3609.171, usercpu_time_millis_testing: 60.721, usercpu_time_millis_training: 3548.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9475, kappa: 0.7674, kb_relative_information_score: 2090.2461, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.953, predictive_accuracy: 0.9515, prior_entropy: 0.5848, recall: 0.9515, relative_absolute_error: 0.3885, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.5945, scimark_benchmark: 1319.7724, usercpu_time_millis: 1697.222, usercpu_time_millis_testing: 30.994, usercpu_time_millis_training: 1666.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 576.1347, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8659, scimark_benchmark: 1281.2481, usercpu_time_millis: 3295.108, usercpu_time_millis_testing: 55.544, usercpu_time_millis_training: 3239.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 288.6826, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1297.4221, usercpu_time_millis: 3516.28, usercpu_time_millis_testing: 61.139, usercpu_time_millis_training: 3455.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9584, kappa: 0.8195, kb_relative_information_score: 2342.8059, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5357, scimark_benchmark: 1290.092, usercpu_time_millis: 1383.21, usercpu_time_millis_testing: 25.293, usercpu_time_millis_training: 1357.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9365, kappa: 0.7158, kb_relative_information_score: 1911.4428, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9441, predictive_accuracy: 0.9424, prior_entropy: 0.5848, recall: 0.9424, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.6432, scimark_benchmark: 1289.6361, usercpu_time_millis: 1515.143, usercpu_time_millis_testing: 28.855, usercpu_time_millis_training: 1486.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2259.2582, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5331, scimark_benchmark: 1323.3312, usercpu_time_millis: 654.031, usercpu_time_millis_testing: 13.649, usercpu_time_millis_training: 640.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.942, kappa: 0.7443, kb_relative_information_score: 2052.4397, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9455, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.213, root_relative_squared_error: 0.6138, scimark_benchmark: 1323.5935, usercpu_time_millis: 1386.373, usercpu_time_millis_testing: 29.031, usercpu_time_millis_training: 1357.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 421.5309, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8613, scimark_benchmark: 1302.9417, usercpu_time_millis: 3525.774, usercpu_time_millis_testing: 57.491, usercpu_time_millis_training: 3468.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9557, kappa: 0.8084, kb_relative_information_score: 2272.6559, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5298, scimark_benchmark: 1283.8619, usercpu_time_millis: 548.608, usercpu_time_millis_testing: 13.017, usercpu_time_millis_training: 535.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 460.0712, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8653, scimark_benchmark: 1291.4236, usercpu_time_millis: 3618.604, usercpu_time_millis_testing: 63.518, usercpu_time_millis_training: 3555.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 370.3663, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8652, scimark_benchmark: 1304.2463, usercpu_time_millis: 3607.764, usercpu_time_millis_testing: 61.472, usercpu_time_millis_training: 3546.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8746, kappa: 0.4092, kb_relative_information_score: 593.6425, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8994, predictive_accuracy: 0.8978, prior_entropy: 0.5848, recall: 0.8978, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8237, scimark_benchmark: 1269.1538, usercpu_time_millis: 3461.259, usercpu_time_millis_testing: 55.419, usercpu_time_millis_training: 3405.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9501, kappa: 0.7798, kb_relative_information_score: 2158.054, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.5795, scimark_benchmark: 1320.6863, usercpu_time_millis: 1552.42, usercpu_time_millis_testing: 30.094, usercpu_time_millis_training: 1522.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9661, kappa: 0.8556, kb_relative_information_score: 2518.5687, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4756, scimark_benchmark: 1324.9314, usercpu_time_millis: 678.656, usercpu_time_millis_testing: 15.782, usercpu_time_millis_training: 662.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9702, kappa: 0.8731, kb_relative_information_score: 2372.097, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4789, scimark_benchmark: 1289.9737, usercpu_time_millis: 2186.08, usercpu_time_millis_testing: 37.126, usercpu_time_millis_training: 2148.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.9551, kappa: 0.8053, kb_relative_information_score: 2275.2916, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5579, scimark_benchmark: 1288.4276, usercpu_time_millis: 1262.208, usercpu_time_millis_testing: 25.512, usercpu_time_millis_training: 1236.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9027, kappa: 0.5544, kb_relative_information_score: 1300.641, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9137, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7402, scimark_benchmark: 1314.4131, usercpu_time_millis: 3407.013, usercpu_time_millis_testing: 51.795, usercpu_time_millis_training: 3355.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2253.9365, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5344, scimark_benchmark: 1307.4762, usercpu_time_millis: 871.512, usercpu_time_millis_testing: 11.773, usercpu_time_millis_training: 859.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.9418, kappa: 0.7417, kb_relative_information_score: 1985.2939, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.6294, scimark_benchmark: 1277.6586, usercpu_time_millis: 1470.002, usercpu_time_millis_testing: 29.229, usercpu_time_millis_training: 1440.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.8713, kappa: 0.3924, kb_relative_information_score: 536.5179, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.898, predictive_accuracy: 0.896, prior_entropy: 0.5848, recall: 0.896, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8351, scimark_benchmark: 1281.1871, usercpu_time_millis: 3468.273, usercpu_time_millis_testing: 56.844, usercpu_time_millis_training: 3411.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9689, kappa: 0.867, kb_relative_information_score: 2620.8278, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4479, scimark_benchmark: 1303.7041, usercpu_time_millis: 727.34, usercpu_time_millis_testing: 16.401, usercpu_time_millis_training: 710.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9665, kappa: 0.857, kb_relative_information_score: 2562.1198, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.468, scimark_benchmark: 1319.4674, usercpu_time_millis: 673.481, usercpu_time_millis_testing: 14.354, usercpu_time_millis_training: 659.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 562.9309, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.8681, scimark_benchmark: 1284.0936, usercpu_time_millis: 3281.913, usercpu_time_millis_testing: 55.761, usercpu_time_millis_training: 3226.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 285.9215, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.86, scimark_benchmark: 1308.6325, usercpu_time_millis: 3559.646, usercpu_time_millis_testing: 59.267, usercpu_time_millis_training: 3500.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 235.7621, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8601, scimark_benchmark: 1299.3291, usercpu_time_millis: 3511.254, usercpu_time_millis_testing: 60.489, usercpu_time_millis_training: 3450.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8665, kappa: 0.3681, kb_relative_information_score: 430.4412, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.894, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8485, scimark_benchmark: 1259.935, usercpu_time_millis: 3414.123, usercpu_time_millis_testing: 54.803, usercpu_time_millis_training: 3359.32,

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