OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9289, kappa: 0.8562, kb_relative_information_score: 8782.9158, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9293, predictive_accuracy: 0.9288, prior_entropy: 0.9906, recall: 0.9288, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4544, scimark_benchmark: 1734.5684, usercpu_time_millis: 8.456, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 8.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 9856.6112, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9665, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.3163, scimark_benchmark: 1847.3406, usercpu_time_millis: 88.678, usercpu_time_millis_testing: 3.494, usercpu_time_millis_training: 85.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9567, kappa: 0.9123, kb_relative_information_score: 9438.0131, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3668, scimark_benchmark: 1852.0126, usercpu_time_millis: 83.955, usercpu_time_millis_testing: 4.326, usercpu_time_millis_training: 79.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9575, kappa: 0.9138, kb_relative_information_score: 9366.4911, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9575, predictive_accuracy: 0.9575, prior_entropy: 0.9906, recall: 0.9575, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3646, scimark_benchmark: 1840.7617, usercpu_time_millis: 58.253, usercpu_time_millis_testing: 5.346, usercpu_time_millis_training: 52.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9541, kappa: 0.9071, kb_relative_information_score: 9431.5398, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9906, recall: 0.9541, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3725, scimark_benchmark: 1728.7619, usercpu_time_millis: 73.773, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 70.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9584, kappa: 0.9156, kb_relative_information_score: 9534.7781, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9906, recall: 0.9584, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3508, scimark_benchmark: 1850.9652, usercpu_time_millis: 59.782, usercpu_time_millis_testing: 3.542, usercpu_time_millis_training: 56.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 8881.2188, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4259, scimark_benchmark: 1840.7617, usercpu_time_millis: 25.829, usercpu_time_millis_testing: 1.651, usercpu_time_millis_training: 24.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9513, kappa: 0.9011, kb_relative_information_score: 8882.1556, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9514, predictive_accuracy: 0.9513, prior_entropy: 0.9906, recall: 0.9513, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.3991, scimark_benchmark: 1760.8005, usercpu_time_millis: 22.609, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 20.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9171, kappa: 0.832, kb_relative_information_score: 7870.5856, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9171, predictive_accuracy: 0.9171, prior_entropy: 0.9906, recall: 0.9171, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.4942, scimark_benchmark: 1749.0578, usercpu_time_millis: 20.333, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 18.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9132, kappa: 0.824, kb_relative_information_score: 7275.0771, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 0.9906, recall: 0.9133, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.53, scimark_benchmark: 1839.9263, usercpu_time_millis: 14.593, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 13.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: -0.5767, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1754.3373, usercpu_time_millis: 7.049, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 6.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.1208, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1845.3975, usercpu_time_millis: 6.53, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 5.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9061, kappa: 0.8099, kb_relative_information_score: 7499.7265, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9063, predictive_accuracy: 0.906, prior_entropy: 0.9906, recall: 0.906, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5433, scimark_benchmark: 1726.6779, usercpu_time_millis: 3.464, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 3.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3985, kb_relative_information_score: -0.2913, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1844.3569, usercpu_time_millis: 5.815, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 5.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9557, kappa: 0.9101, kb_relative_information_score: 8854.0547, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3901, scimark_benchmark: 1808.4562, usercpu_time_millis: 10.001, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 9.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9067, kappa: 0.8112, kb_relative_information_score: 8068.8236, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9069, predictive_accuracy: 0.9066, prior_entropy: 0.9906, recall: 0.9066, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5208, scimark_benchmark: 1792.0568, usercpu_time_millis: 8.887, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 8.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8966, kappa: 0.7902, kb_relative_information_score: 6677.4286, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8968, predictive_accuracy: 0.8968, prior_entropy: 0.9906, recall: 0.8968, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5675, scimark_benchmark: 1846.3057, usercpu_time_millis: 10.523, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 9.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9713, kappa: 0.9418, kb_relative_information_score: 10007.9372, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 0.9906, recall: 0.9713, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2945, scimark_benchmark: 1804.5023, usercpu_time_millis: 7.229, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 6.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9191, kappa: 0.8359, kb_relative_information_score: 8620.2943, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9192, predictive_accuracy: 0.9192, prior_entropy: 0.9906, recall: 0.9192, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4715, scimark_benchmark: 1857.0384, usercpu_time_millis: 16.872, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 16.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9032.2483, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4161, scimark_benchmark: 1848.388, usercpu_time_millis: 57.379, usercpu_time_millis_testing: 3.056, usercpu_time_millis_training: 54.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.93, kappa: 0.8577, kb_relative_information_score: 4428.7882, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9337, predictive_accuracy: 0.9305, prior_entropy: 0.9906, recall: 0.9305, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6939, scimark_benchmark: 1714.0401, usercpu_time_millis: 42.89, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 38.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9253, kappa: 0.8481, kb_relative_information_score: 4301.8618, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9294, predictive_accuracy: 0.9259, prior_entropy: 0.9906, recall: 0.9259, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7042, scimark_benchmark: 1853.454, usercpu_time_millis: 41.805, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 37.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9161, kappa: 0.83, kb_relative_information_score: 8109.3612, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9161, predictive_accuracy: 0.9161, prior_entropy: 0.9906, recall: 0.9161, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.4967, scimark_benchmark: 1849.3014, usercpu_time_millis: 48.112, usercpu_time_millis_testing: 2.936, usercpu_time_millis_training: 45.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9177, kappa: 0.8331, kb_relative_information_score: 8036.1149, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9176, predictive_accuracy: 0.9177, prior_entropy: 0.9906, recall: 0.9177, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.4817, scimark_benchmark: 1726.1007, usercpu_time_millis: 41.148, usercpu_time_millis_testing: 3.296, usercpu_time_millis_training: 37.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9205, kappa: 0.8385, kb_relative_information_score: 3881.4376, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9213, prior_entropy: 0.9906, recall: 0.9213, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7348, scimark_benchmark: 1743.3465, usercpu_time_millis: 15.21, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 13.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.7927, kappa: 0.5874, kb_relative_information_score: 1563.3137, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8547, predictive_accuracy: 0.8054, prior_entropy: 0.9906, recall: 0.8054, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8984, scimark_benchmark: 1776.7893, usercpu_time_millis: 16.267, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 14.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9594, kappa: 0.9176, kb_relative_information_score: 8791.3492, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 0.9906, recall: 0.9595, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863, scimark_benchmark: 1735.8511, usercpu_time_millis: 15.035, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 13.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8921, kappa: 0.7808, kb_relative_information_score: 3590.5885, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9034, predictive_accuracy: 0.8939, prior_entropy: 0.9906, recall: 0.8939, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7583, scimark_benchmark: 1847.7442, usercpu_time_millis: 16.64, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 14.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 7985.3202, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5232, scimark_benchmark: 1784.8506, usercpu_time_millis: 19.216, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 18.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9642, kappa: 0.9275, kb_relative_information_score: 9652.8831, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9906, recall: 0.9643, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3318, scimark_benchmark: 1720.1599, usercpu_time_millis: 14.171, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 13.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.942, kappa: 0.8824, kb_relative_information_score: 9056.2021, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.9906, recall: 0.942, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4156, scimark_benchmark: 1848.8462, usercpu_time_millis: 6.328, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 6.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9593, kappa: 0.9174, kb_relative_information_score: 9296.0554, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.9906, recall: 0.9593, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3595, scimark_benchmark: 1794.2123, usercpu_time_millis: 98.33, usercpu_time_millis_testing: 5.257, usercpu_time_millis_training: 93.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9558, kappa: 0.9103, kb_relative_information_score: 8803.5912, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3938, scimark_benchmark: 1767.2959, usercpu_time_millis: 68.796, usercpu_time_millis_testing: 3.917, usercpu_time_millis_training: 64.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9516, kappa: 0.9017, kb_relative_information_score: 7667.7904, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9523, predictive_accuracy: 0.9517, prior_entropy: 0.9906, recall: 0.9517, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4591, scimark_benchmark: 1835.7801, usercpu_time_millis: 55.826, usercpu_time_millis_testing: 4.997, usercpu_time_millis_training: 50.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9555, kappa: 0.9097, kb_relative_information_score: 7652.5452, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.9557, prior_entropy: 0.9906, recall: 0.9557, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4567, scimark_benchmark: 1779.6718, usercpu_time_millis: 46.323, usercpu_time_millis_testing: 3.606, usercpu_time_millis_training: 42.717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 5702.3244, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8973, predictive_accuracy: 0.8962, prior_entropy: 0.9906, recall: 0.8962, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6173, scimark_benchmark: 1901.7267, usercpu_time_millis: 7.794, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 7.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9508, kappa: 0.9003, kb_relative_information_score: 9182.8244, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9906, recall: 0.9509, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.3922, scimark_benchmark: 1739.91, usercpu_time_millis: 4.744, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 4.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.0644, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 1735.4502, usercpu_time_millis: 3.003, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9507, kappa: 0.9, kb_relative_information_score: 7572.6479, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9515, predictive_accuracy: 0.9509, prior_entropy: 0.9906, recall: 0.9509, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4669, scimark_benchmark: 1744.5641, usercpu_time_millis: 66.544, usercpu_time_millis_testing: 5.906, usercpu_time_millis_training: 60.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 8122.9803, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 0.9906, recall: 0.9063, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.522, scimark_benchmark: 1768.8188, usercpu_time_millis: 60.948, usercpu_time_millis_testing: 2.61, usercpu_time_millis_training: 58.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9312, kappa: 0.8602, kb_relative_information_score: 6047.8204, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9323, predictive_accuracy: 0.9314, prior_entropy: 0.9906, recall: 0.9314, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5831, scimark_benchmark: 1733.4593, usercpu_time_millis: 47.687, usercpu_time_millis_testing: 4.118, usercpu_time_millis_training: 43.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.953, kappa: 0.9046, kb_relative_information_score: 7468.3649, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9531, prior_entropy: 0.9906, recall: 0.9531, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4723, scimark_benchmark: 1714.477, usercpu_time_millis: 29.732, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 27.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9712, kappa: 0.9416, kb_relative_information_score: 9931.915, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3013, scimark_benchmark: 1766.3295, usercpu_time_millis: 20.991, usercpu_time_millis_testing: 1.053, usercpu_time_millis_training: 19.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9184, kappa: 0.8345, kb_relative_information_score: 8074.5024, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9184, predictive_accuracy: 0.9184, prior_entropy: 0.9906, recall: 0.9184, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4786, scimark_benchmark: 1726.7094, usercpu_time_millis: 18.291, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 17.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9601, kappa: 0.919, kb_relative_information_score: 9480.1272, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9601, predictive_accuracy: 0.9601, prior_entropy: 0.9906, recall: 0.9601, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3485, scimark_benchmark: 1799.1577, usercpu_time_millis: 19.17, usercpu_time_millis_testing: 1.258, usercpu_time_millis_training: 17.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.917, kappa: 0.8318, kb_relative_information_score: 7703.5938, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.917, predictive_accuracy: 0.9171, prior_entropy: 0.9906, recall: 0.9171, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5012, scimark_benchmark: 1693.1698, usercpu_time_millis: 14.036, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 13.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.2266, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1, scimark_benchmark: 2131.311, usercpu_time_millis: 16.504, usercpu_time_millis_testing: 1.821, usercpu_time_millis_training: 14.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 9759.5447, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261, scimark_benchmark: 1835.2001, usercpu_time_millis: 108.468, usercpu_time_millis_testing: 5.23, usercpu_time_millis_training: 103.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9584, kappa: 0.9157, kb_relative_information_score: 9136.9471, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9906, recall: 0.9585, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.3695, scimark_benchmark: 1745.9931, usercpu_time_millis: 78.58, usercpu_time_millis_testing: 4.647, usercpu_time_millis_training: 73.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9527, kappa: 0.9039, kb_relative_information_score: 8173.2486, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 0.9906, recall: 0.9528, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.4303, scimark_benchmark: 1810.4082, usercpu_time_millis: 59.748, usercpu_time_millis_testing: 4.837, usercpu_time_millis_training: 54.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9728, kappa: 0.9449, kb_relative_information_score: 10047.8991, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.2841, scimark_benchmark: 1727.6902, usercpu_time_millis: 60.564, usercpu_time_millis_testing: 3.509, usercpu_time_millis_training: 57.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9283, kappa: 0.8543, kb_relative_information_score: 6406.2825, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.93, predictive_accuracy: 0.9286, prior_entropy: 0.9906, recall: 0.9286, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5618, scimark_benchmark: 1717.8538, usercpu_time_millis: 48.674, usercpu_time_millis_testing: 4.292, usercpu_time_millis_training: 44.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9499, kappa: 0.8985, kb_relative_information_score: 9171.7609, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9906, recall: 0.95, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3981, scimark_benchmark: 1787.1747, usercpu_time_millis: 49.598, usercpu_time_millis_testing: 3.612, usercpu_time_millis_training: 45.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9173, kappa: 0.8324, kb_relative_information_score: 7765.7156, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 0.9906, recall: 0.9173, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4971, scimark_benchmark: 1757.3564, usercpu_time_millis: 47.308, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 43.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9633, kappa: 0.9255, kb_relative_information_score: 9585.0094, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9633, predictive_accuracy: 0.9633, prior_entropy: 0.9906, recall: 0.9633, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3373, scimark_benchmark: 1901.4887, usercpu_time_millis: 36.73, usercpu_time_millis_testing: 2.505, usercpu_time_millis_training: 34.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9278, kappa: 0.8536, kb_relative_information_score: 8097.3208, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9282, predictive_accuracy: 0.928, prior_entropy: 0.9906, recall: 0.928, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.475, scimark_benchmark: 1726.3126, usercpu_time_millis: 31.114, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 27.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9611, kappa: 0.9211, kb_relative_information_score: 9351.047, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9906, recall: 0.9611, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3532, scimark_benchmark: 1893.3597, usercpu_time_millis: 29.919, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 27.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9383, kappa: 0.8748, kb_relative_information_score: 8762.5513, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4387, scimark_benchmark: 1718.7322, usercpu_time_millis: 36.013, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 33.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9553, kappa: 0.9092, kb_relative_information_score: 8967.7338, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9554, predictive_accuracy: 0.9553, prior_entropy: 0.9906, recall: 0.9553, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3883, scimark_benchmark: 1896.0366, usercpu_time_millis: 30.814, usercpu_time_millis_testing: 3.542, usercpu_time_millis_training: 27.272,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.97, kappa: 0.9392, kb_relative_information_score: 9905.0624, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3095, scimark_benchmark: 2110.9543, usercpu_time_millis: 27.938, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 26.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9551, kappa: 0.9089, kb_relative_information_score: 9213.5691, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 0.9906, recall: 0.9551, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3763, scimark_benchmark: 1811.6753, usercpu_time_millis: 19.007, usercpu_time_millis_testing: 1.668, usercpu_time_millis_training: 17.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.951, kappa: 0.9007, kb_relative_information_score: 9157.9754, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9906, recall: 0.9511, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3886, scimark_benchmark: 1781.4822, usercpu_time_millis: 21.534, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 20.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9034, kappa: 0.8042, kb_relative_information_score: 5775.3759, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9034, predictive_accuracy: 0.9035, prior_entropy: 0.9906, recall: 0.9035, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6109, scimark_benchmark: 1783.6252, usercpu_time_millis: 19.282, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 17.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 9985.605, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.2981, scimark_benchmark: 1730.792, usercpu_time_millis: 10.555, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 10.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9389, kappa: 0.8762, kb_relative_information_score: 9016.5752, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9389, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4284, scimark_benchmark: 1727.0835, usercpu_time_millis: 8.836, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 8.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9407, kappa: 0.8795, kb_relative_information_score: 7837.8951, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9414, predictive_accuracy: 0.9408, prior_entropy: 0.9906, recall: 0.9408, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.466, scimark_benchmark: 1773.1852, usercpu_time_millis: 57.683, usercpu_time_millis_testing: 5.701, usercpu_time_millis_training: 51.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9342, kappa: 0.8664, kb_relative_information_score: 6949.771, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9345, prior_entropy: 0.9906, recall: 0.9345, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.5237, scimark_benchmark: 1787.4374, usercpu_time_millis: 43.608, usercpu_time_millis_testing: 4.078, usercpu_time_millis_training: 39.53,

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