Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1948.9332, usercpu_time_millis: 0.988, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9331, kappa: 0.8642, kb_relative_information_score: 8521.943, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9335, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4509, scimark_benchmark: 1852.4707, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1842.8383, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9322, kappa: 0.8623, kb_relative_information_score: 8014.5631, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9326, predictive_accuracy: 0.9323, prior_entropy: 0.9906, recall: 0.9323, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.472, scimark_benchmark: 1952.9058, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 1.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.931, kappa: 0.8599, kb_relative_information_score: 7360.4697, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9315, predictive_accuracy: 0.9312, prior_entropy: 0.9906, recall: 0.9312, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5024, scimark_benchmark: 1835.7344, usercpu_time_millis: 1.586, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1956.8699, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1850.6933, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.932, kappa: 0.862, kb_relative_information_score: 7752.5169, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9324, predictive_accuracy: 0.9322, prior_entropy: 0.9906, recall: 0.9322, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.4836, scimark_benchmark: 1855.4813, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9375, kappa: 0.8732, kb_relative_information_score: 9019.2038, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9376, predictive_accuracy: 0.9376, prior_entropy: 0.9906, recall: 0.9376, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1726.5817, usercpu_time_millis: 4.173, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 3.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9262, kappa: 0.8501, kb_relative_information_score: 7980.5182, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9268, predictive_accuracy: 0.9264, prior_entropy: 0.9906, recall: 0.9264, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4807, scimark_benchmark: 1956.9492, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1853.3841, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1707.2775, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1955.4529, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9343, kappa: 0.8666, kb_relative_information_score: 8263.8852, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9347, predictive_accuracy: 0.9344, prior_entropy: 0.9906, recall: 0.9344, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4567, scimark_benchmark: 1956.3093, usercpu_time_millis: 1.579, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9372, kappa: 0.8725, kb_relative_information_score: 9069.7774, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 0.9906, recall: 0.9372, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426, scimark_benchmark: 1853.454, usercpu_time_millis: 4.934, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 4.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1849.7595, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9346, kappa: 0.8672, kb_relative_information_score: 8771.5527, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9349, predictive_accuracy: 0.9347, prior_entropy: 0.9906, recall: 0.9347, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.441, scimark_benchmark: 1830.6283, usercpu_time_millis: 3.1, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 2.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9212, kappa: 0.8402, kb_relative_information_score: 7601.7905, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9214, prior_entropy: 0.9906, recall: 0.9214, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5037, scimark_benchmark: 1939.1706, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9207, kappa: 0.839, kb_relative_information_score: 6172.6369, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9213, predictive_accuracy: 0.9209, prior_entropy: 0.9906, recall: 0.9209, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5773, scimark_benchmark: 1736.0929, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1901.7699, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.3985, kb_relative_information_score: 462.0678, mean_absolute_error: 0.4791, 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: 0.9708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.971, scimark_benchmark: 1736.1564, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9384, kappa: 0.875, kb_relative_information_score: 8917.5447, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 0.9906, recall: 0.9385, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4276, scimark_benchmark: 1955.3458, usercpu_time_millis: 2.679, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9355, kappa: 0.869, kb_relative_information_score: 8706.1556, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9358, predictive_accuracy: 0.9356, prior_entropy: 0.9906, recall: 0.9356, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4385, scimark_benchmark: 1951.6767, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1724.2481, usercpu_time_millis: 1.084, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9392, kappa: 0.8768, kb_relative_information_score: 9164.6134, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4238, scimark_benchmark: 1826.0653, usercpu_time_millis: 6.709, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 6.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5226.0311, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6542, scimark_benchmark: 1729.3908, usercpu_time_millis: 1.091, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9125, kappa: 0.8225, kb_relative_information_score: 5931.6239, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9125, predictive_accuracy: 0.9125, prior_entropy: 0.9906, recall: 0.9125, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6034, scimark_benchmark: 1915.2725, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1917.4755, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1921.3004, usercpu_time_millis: 1.012, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1848.7304, usercpu_time_millis: 1.033, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9258, kappa: 0.8494, kb_relative_information_score: 7498.415, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.926, prior_entropy: 0.9906, recall: 0.926, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5015, scimark_benchmark: 1923.8101, usercpu_time_millis: 1.237, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1848.2722, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9388, kappa: 0.8759, kb_relative_information_score: 9128.2419, mean_absolute_error: 0.092, 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: 0.1865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4241, scimark_benchmark: 1734.1868, usercpu_time_millis: 6.205, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 6.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8742, kappa: 0.7443, kb_relative_information_score: 2709.8115, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8756, predictive_accuracy: 0.8748, prior_entropy: 0.9906, recall: 0.8748, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8211, scimark_benchmark: 1848.388, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9213, kappa: 0.8402, kb_relative_information_score: 7697.9208, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9214, prior_entropy: 0.9906, recall: 0.9214, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5001, scimark_benchmark: 2072.1315, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.97,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1724.0704, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.3985, kb_relative_information_score: 216.2656, mean_absolute_error: 0.4868, 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: 0.9864, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9865, scimark_benchmark: 1733.9326, usercpu_time_millis: 1.071, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9017, kappa: 0.8009, kb_relative_information_score: 5516.0357, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9017, predictive_accuracy: 0.9018, prior_entropy: 0.9906, recall: 0.9018, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6342, scimark_benchmark: 1732.3996, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1949.0361, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 2008.6153, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1891.9742, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9364, kappa: 0.8709, kb_relative_information_score: 8785.5369, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9367, predictive_accuracy: 0.9365, prior_entropy: 0.9906, recall: 0.9365, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4363, scimark_benchmark: 1732.2809, usercpu_time_millis: 2.849, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 2.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 2026.336, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.3985, kb_relative_information_score: 866.347, mean_absolute_error: 0.466, 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: 0.9441, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9453, scimark_benchmark: 1734.7321, usercpu_time_millis: 1.066, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 2011.5099, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.3985, kb_relative_information_score: 557.4188, mean_absolute_error: 0.476, 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: 0.9646, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9649, scimark_benchmark: 1733.299, usercpu_time_millis: 1.044, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1734.2259, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9064, kappa: 0.8105, kb_relative_information_score: 6663.4063, mean_absolute_error: 0.22, 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: 0.4459, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5777, scimark_benchmark: 1730.6192, usercpu_time_millis: 1.242, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9224, kappa: 0.8425, kb_relative_information_score: 7667.349, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9227, predictive_accuracy: 0.9226, prior_entropy: 0.9906, recall: 0.9226, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4951, scimark_benchmark: 1725.7822, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.5519, kappa: 0.192, kb_relative_information_score: 1022.6214, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7794, predictive_accuracy: 0.6348, prior_entropy: 0.9906, recall: 0.6348, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9348, scimark_benchmark: 1735.1328, usercpu_time_millis: 1.085, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9303, kappa: 0.8585, kb_relative_information_score: 8372.8029, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9307, predictive_accuracy: 0.9304, prior_entropy: 0.9906, recall: 0.9304, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4619, scimark_benchmark: 1734.7321, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1952.1765, usercpu_time_millis: 0.972, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8272, kappa: 0.6524, kb_relative_information_score: 2111.0618, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8664, predictive_accuracy: 0.8346, prior_entropy: 0.9906, recall: 0.8346, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8622, scimark_benchmark: 1733.7613, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1726.9824, usercpu_time_millis: 1.069, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9287, kappa: 0.8553, kb_relative_information_score: 7341.0383, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9293, predictive_accuracy: 0.9289, prior_entropy: 0.9906, recall: 0.9289, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5059, scimark_benchmark: 1729.728, usercpu_time_millis: 1.396, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 2016.3455, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1919.3086, usercpu_time_millis: 1.035, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9218, kappa: 0.8413, kb_relative_information_score: 7091.5014, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9221, predictive_accuracy: 0.9219, prior_entropy: 0.9906, recall: 0.9219, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.529, scimark_benchmark: 1890.5465, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9341, kappa: 0.8662, kb_relative_information_score: 8593.1957, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9345, predictive_accuracy: 0.9342, prior_entropy: 0.9906, recall: 0.9342, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4448, scimark_benchmark: 1727.4489, usercpu_time_millis: 2.307, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9214, kappa: 0.8405, kb_relative_information_score: 7273.9811, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9217, predictive_accuracy: 0.9216, prior_entropy: 0.9906, recall: 0.9216, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5181, scimark_benchmark: 1846.8212, usercpu_time_millis: 1.261, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.0251, 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: 1953.4962, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9281, kappa: 0.8539, kb_relative_information_score: 7985.4289, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9287, predictive_accuracy: 0.9283, prior_entropy: 0.9906, recall: 0.9283, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.478, scimark_benchmark: 1955.359, usercpu_time_millis: 1.315, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9311, kappa: 0.8601, kb_relative_information_score: 8122.8525, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9315, predictive_accuracy: 0.9313, prior_entropy: 0.9906, recall: 0.9313, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4689, scimark_benchmark: 1830.2141, usercpu_time_millis: 1.575, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9395, kappa: 0.8773, kb_relative_information_score: 9107.0961, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9396, predictive_accuracy: 0.9396, prior_entropy: 0.9906, recall: 0.9396, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4238, scimark_benchmark: 1733.3606, usercpu_time_millis: 4.839, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 4.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9328, kappa: 0.8636, kb_relative_information_score: 8081.6682, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.9906, recall: 0.933, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.232, root_relative_squared_error: 0.467, scimark_benchmark: 1711.4951, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9361, kappa: 0.8704, kb_relative_information_score: 8980.9499, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9362, prior_entropy: 0.9906, recall: 0.9362, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4281, scimark_benchmark: 1915.4437, usercpu_time_millis: 3.932, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 3.774,

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