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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19725 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9633, kappa: 0.9256, kb_relative_information_score: 0.9252, mean_absolute_error: 0.0367, 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: 0.0744, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9353, kappa: 0.8687, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.94, kappa: 0.8784, kb_relative_information_score: 0.878, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9404, kappa: 0.8791, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9906, recall: 0.9405, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9481, kappa: 0.8947, kb_relative_information_score: 0.8944, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.9906, recall: 0.9482, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9165, kappa: 0.8306, kb_relative_information_score: 0.83, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 0.9906, recall: 0.9166, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9298, kappa: 0.8576, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9906, recall: 0.9299, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9256, kappa: 0.8492, kb_relative_information_score: 0.8487, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9257, prior_entropy: 0.9906, recall: 0.9257, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9491, kappa: 0.8968, kb_relative_information_score: 0.8964, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9906, recall: 0.9492, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9699, kappa: 0.9389, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.9906, recall: 0.9699, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9344, kappa: 0.8669, kb_relative_information_score: 0.8665, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9346, predictive_accuracy: 0.9345, prior_entropy: 0.9906, recall: 0.9345, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9198, kappa: 0.8374, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9199, predictive_accuracy: 0.9199, prior_entropy: 0.9906, recall: 0.9199, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9298, kappa: 0.8576, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9906, recall: 0.9299, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9256, kappa: 0.8492, kb_relative_information_score: 0.8487, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9257, prior_entropy: 0.9906, recall: 0.9257, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9387, kappa: 0.8755, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9389, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9201, kappa: 0.838, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9202, predictive_accuracy: 0.9202, prior_entropy: 0.9906, recall: 0.9202, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9491, kappa: 0.8968, kb_relative_information_score: 0.8964, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9906, recall: 0.9492, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9402, kappa: 0.8787, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.9906, recall: 0.9403, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.937, kappa: 0.8723, kb_relative_information_score: 0.8719, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9372, predictive_accuracy: 0.9371, prior_entropy: 0.9906, recall: 0.9371, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.9165, kappa: 0.8306, kb_relative_information_score: 0.83, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9166, predictive_accuracy: 0.9166, prior_entropy: 0.9906, recall: 0.9166, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9338, kappa: 0.8656, kb_relative_information_score: 0.8652, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.934, predictive_accuracy: 0.9339, prior_entropy: 0.9906, recall: 0.9339, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9633, kappa: 0.9256, kb_relative_information_score: 0.9252, mean_absolute_error: 0.0367, 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: 0.0744, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.9353, kappa: 0.8687, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9481, kappa: 0.8947, kb_relative_information_score: 0.8944, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.9906, recall: 0.9482, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9465, kappa: 0.8915, kb_relative_information_score: 0.8912, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9468, predictive_accuracy: 0.9466, prior_entropy: 0.9906, recall: 0.9466, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3985, kb_relative_information_score: 0.0488, 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: 1840.1791, usercpu_time_millis: 4.871, usercpu_time_millis_testing: 1.071, usercpu_time_millis_training: 3.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 0.0838, 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: 1722.7088, usercpu_time_millis: 14.591, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 12.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9591, kappa: 0.9171, kb_relative_information_score: 9575.5418, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9906, recall: 0.9591, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3502, scimark_benchmark: 1839.2774, usercpu_time_millis: 38.993, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 37.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 9923.5987, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 0.9906, recall: 0.972, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941, scimark_benchmark: 1074.2909, usercpu_time_millis: 52.286, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 49.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 8725.2281, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4009, scimark_benchmark: 1845.7835, usercpu_time_millis: 75.96, usercpu_time_millis_testing: 6.317, usercpu_time_millis_training: 69.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9502, kappa: 0.8989, kb_relative_information_score: 8572.899, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.2544, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.413, scimark_benchmark: 1493.3172, usercpu_time_millis: 100.17, usercpu_time_millis_testing: 5.98, usercpu_time_millis_training: 94.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8695, kappa: 0.7358, kb_relative_information_score: 3994.303, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8918, predictive_accuracy: 0.8731, prior_entropy: 0.9906, recall: 0.8731, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7345, scimark_benchmark: 1839.2774, usercpu_time_millis: 8.473, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 7.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9545, kappa: 0.9077, kb_relative_information_score: 9357.1006, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.3749, scimark_benchmark: 1849.9572, usercpu_time_millis: 7.931, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 7.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3985, kb_relative_information_score: 0.3678, 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: 1090.8303, usercpu_time_millis: 25.322, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 22.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9204, kappa: 0.8385, kb_relative_information_score: 8685.5905, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9207, predictive_accuracy: 0.9206, prior_entropy: 0.9906, recall: 0.9206, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4618, scimark_benchmark: 1727.1069, usercpu_time_millis: 54.547, usercpu_time_millis_testing: 3.425, usercpu_time_millis_training: 51.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9175, kappa: 0.8327, kb_relative_information_score: 7400.3347, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9175, predictive_accuracy: 0.9175, prior_entropy: 0.9906, recall: 0.9175, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5145, scimark_benchmark: 1213.8567, usercpu_time_millis: 63.533, usercpu_time_millis_testing: 6.912, usercpu_time_millis_training: 56.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9507, kappa: 0.9001, kb_relative_information_score: 8939.1871, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.9906, recall: 0.9508, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3955, scimark_benchmark: 1843.7454, usercpu_time_millis: 80.916, usercpu_time_millis_testing: 7.345, usercpu_time_millis_training: 73.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9499, kappa: 0.8985, kb_relative_information_score: 9296.2338, mean_absolute_error: 0.0847, 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: 0.1717, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3906, scimark_benchmark: 1062.4964, usercpu_time_millis: 176.2, usercpu_time_millis_testing: 4.999, usercpu_time_millis_training: 171.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9402, kappa: 0.8788, kb_relative_information_score: 9165.4312, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 0.9906, recall: 0.9403, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4124, scimark_benchmark: 1055.8695, usercpu_time_millis: 195.386, usercpu_time_millis_testing: 5.504, usercpu_time_millis_training: 189.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9142, kappa: 0.8259, kb_relative_information_score: 7141.2082, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9144, predictive_accuracy: 0.9143, prior_entropy: 0.9906, recall: 0.9143, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5308, scimark_benchmark: 1728.0111, usercpu_time_millis: 13.405, usercpu_time_millis_testing: 1.755, usercpu_time_millis_training: 11.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9261, kappa: 0.8501, kb_relative_information_score: 7989.8124, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.9263, prior_entropy: 0.9906, recall: 0.9263, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4757, scimark_benchmark: 1726.1942, usercpu_time_millis: 16.783, usercpu_time_millis_testing: 1.113, usercpu_time_millis_training: 15.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9236, kappa: 0.8451, kb_relative_information_score: 8480.9654, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9238, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4633, scimark_benchmark: 1205.2042, usercpu_time_millis: 21.556, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 20.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9564, kappa: 0.9116, kb_relative_information_score: 9159.2871, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9566, predictive_accuracy: 0.9565, prior_entropy: 0.9906, recall: 0.9565, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3742, scimark_benchmark: 1846.8309, usercpu_time_millis: 31.639, usercpu_time_millis_testing: 3.03, usercpu_time_millis_training: 28.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8411, kappa: 0.6798, kb_relative_information_score: 5350.5193, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8768, predictive_accuracy: 0.8473, prior_entropy: 0.9906, recall: 0.8473, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6708, scimark_benchmark: 1780.726, usercpu_time_millis: 23.943, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 21.173,
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: 0.9781, f_measure: 0.9181, kappa: 0.8338, kb_relative_information_score: 7391.3681, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9183, predictive_accuracy: 0.9182, prior_entropy: 0.9906, recall: 0.9182, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5169, scimark_benchmark: 1847.3406, usercpu_time_millis: 44.744, usercpu_time_millis_testing: 4.073, usercpu_time_millis_training: 40.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9398, kappa: 0.8777, kb_relative_information_score: 7790.4252, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9405, predictive_accuracy: 0.9399, prior_entropy: 0.9906, recall: 0.9399, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4699, scimark_benchmark: 1211.0229, usercpu_time_millis: 51.889, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 48.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9294, kappa: 0.8572, kb_relative_information_score: 8767.2448, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9297, predictive_accuracy: 0.9294, prior_entropy: 0.9906, recall: 0.9294, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4547, scimark_benchmark: 1079.3515, usercpu_time_millis: 53.341, usercpu_time_millis_testing: 2.028, usercpu_time_millis_training: 51.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9467, kappa: 0.8919, kb_relative_information_score: 9105.9768, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.9906, recall: 0.9467, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4055, scimark_benchmark: 1067.8297, usercpu_time_millis: 103.875, usercpu_time_millis_testing: 7.235, usercpu_time_millis_training: 96.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9569, kappa: 0.9127, kb_relative_information_score: 9395.3631, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3715, scimark_benchmark: 1485.3688, usercpu_time_millis: 45.932, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 44.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9158, kappa: 0.8293, kb_relative_information_score: 8292.3257, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9158, predictive_accuracy: 0.9158, prior_entropy: 0.9906, recall: 0.9158, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.4757, scimark_benchmark: 1825.1829, usercpu_time_millis: 60.622, usercpu_time_millis_testing: 4.958, usercpu_time_millis_training: 55.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9358, kappa: 0.8699, kb_relative_information_score: 8892.737, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9358, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4374, scimark_benchmark: 1080.7991, usercpu_time_millis: 241.428, usercpu_time_millis_testing: 9.322, usercpu_time_millis_training: 232.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9114, kappa: 0.8205, kb_relative_information_score: 7711.4108, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9114, predictive_accuracy: 0.9114, prior_entropy: 0.9906, recall: 0.9114, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5191, scimark_benchmark: 1837.0997, usercpu_time_millis: 21.382, usercpu_time_millis_testing: 2.477, usercpu_time_millis_training: 18.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9038, kappa: 0.8048, kb_relative_information_score: 6541.7605, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.9906, recall: 0.904, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.5685, scimark_benchmark: 1791.4866, usercpu_time_millis: 31.66, usercpu_time_millis_testing: 3.196, usercpu_time_millis_training: 28.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9528, kappa: 0.9044, kb_relative_information_score: 9292.4572, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3808, scimark_benchmark: 1845.264, usercpu_time_millis: 52.545, usercpu_time_millis_testing: 3.38, usercpu_time_millis_training: 49.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.948, kappa: 0.8947, kb_relative_information_score: 9201.5686, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 0.9906, recall: 0.9481, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3936, scimark_benchmark: 1839.272, usercpu_time_millis: 66.848, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 62.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9295, kappa: 0.8567, kb_relative_information_score: 4415.0963, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9333, predictive_accuracy: 0.9301, prior_entropy: 0.9906, recall: 0.9301, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6949, scimark_benchmark: 1842.1882, usercpu_time_millis: 27.188, usercpu_time_millis_testing: 3.852, usercpu_time_millis_training: 23.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9171, kappa: 0.832, kb_relative_information_score: 8348.3591, mean_absolute_error: 0.1301, 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: 0.2636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.4958, scimark_benchmark: 1736.1483, usercpu_time_millis: 34.737, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 32.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9574, kappa: 0.9136, kb_relative_information_score: 9727.326, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9906, recall: 0.9574, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3483, scimark_benchmark: 1843.7454, usercpu_time_millis: 48.628, usercpu_time_millis_testing: 1.667, usercpu_time_millis_training: 46.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 9554.8141, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9906, recall: 0.9599, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3526, scimark_benchmark: 1241.7916, usercpu_time_millis: 107.342, usercpu_time_millis_testing: 3.704, usercpu_time_millis_training: 103.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7015.8018, mean_absolute_error: 0.2009, 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: 0.407, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6178, scimark_benchmark: 1735.4752, usercpu_time_millis: 20.091, usercpu_time_millis_testing: 1.971, usercpu_time_millis_training: 18.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9155, kappa: 0.8288, kb_relative_information_score: 8428.0035, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 0.9906, recall: 0.9155, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4754, scimark_benchmark: 1718.2275, usercpu_time_millis: 29.524, usercpu_time_millis_testing: 1.929, usercpu_time_millis_training: 27.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9154, kappa: 0.8286, kb_relative_information_score: 8269.9539, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9154, predictive_accuracy: 0.9154, prior_entropy: 0.9906, recall: 0.9154, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5031, scimark_benchmark: 1246.1536, usercpu_time_millis: 71.984, usercpu_time_millis_testing: 7.134, usercpu_time_millis_training: 64.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.934, kappa: 0.866, kb_relative_information_score: 8604.6265, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9341, predictive_accuracy: 0.9341, prior_entropy: 0.9906, recall: 0.9341, relative_absolute_error: 0.2426, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4446, scimark_benchmark: 1238.9772, usercpu_time_millis: 160.71, usercpu_time_millis_testing: 7.067, usercpu_time_millis_training: 153.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9646, kappa: 0.9283, kb_relative_information_score: 0.9278, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9906, recall: 0.9646, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 0.9235, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9906, recall: 0.9723, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9608, kappa: 0.9205, kb_relative_information_score: 0.8462, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9609, predictive_accuracy: 0.9608, prior_entropy: 0.9906, recall: 0.9608, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9434, kappa: 0.8852, kb_relative_information_score: 0.8029, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9435, predictive_accuracy: 0.9435, prior_entropy: 0.9906, recall: 0.9435, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.4827, kappa: 0.0099, kb_relative_information_score: 0.0691, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.5143, predictive_accuracy: 0.5432, prior_entropy: 0.9906, recall: 0.5432, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6759, root_relative_squared_error: 1.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9477, kappa: 0.8938, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.96, kappa: 0.9189, kb_relative_information_score: 0.8534, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9906, recall: 0.96, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9697, kappa: 0.9385, kb_relative_information_score: 0.9111, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.9906, recall: 0.9697, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.149, root_relative_squared_error: 0.2999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9557, kappa: 0.9101, kb_relative_information_score: 0.869, mean_absolute_error: 0.0697, 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: 0.1412, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9747, kappa: 0.9486, kb_relative_information_score: 0.9421, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9906, recall: 0.9747, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9641, kappa: 0.9271, kb_relative_information_score: 0.8829, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.9906, recall: 0.9641, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.966, kappa: 0.931, kb_relative_information_score: 0.891, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.9906, recall: 0.966, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9387, kappa: 0.8757, kb_relative_information_score: 0.7715, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9195, kappa: 0.8368, kb_relative_information_score: 0.6752, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9195, predictive_accuracy: 0.9196, prior_entropy: 0.9906, recall: 0.9196, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9413, kappa: 0.8808, kb_relative_information_score: 0.6867, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9415, prior_entropy: 0.9906, recall: 0.9415, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9548, kappa: 0.9084, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.9906, recall: 0.9549, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7418, kappa: 0.4755, kb_relative_information_score: 0.4746, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7418, predictive_accuracy: 0.7427, prior_entropy: 0.9906, recall: 0.7427, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9739, kappa: 0.9471, kb_relative_information_score: 0.9432, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.974, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.142, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9751, kappa: 0.9495, kb_relative_information_score: 0.9444, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9751, predictive_accuracy: 0.9751, prior_entropy: 0.9906, recall: 0.9751, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9262, kappa: 0.8502, kb_relative_information_score: 0.7372, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9266, predictive_accuracy: 0.9264, prior_entropy: 0.9906, recall: 0.9264, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.969, kappa: 0.9372, kb_relative_information_score: 0.937, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9906, recall: 0.9691, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9496, kappa: 0.8982, kb_relative_information_score: 0.897, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9494, prior_entropy: 0.9906, recall: 0.9494, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8929, kappa: 0.7868, kb_relative_information_score: 0.7812, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9072, predictive_accuracy: 0.8926, prior_entropy: 0.9906, recall: 0.8926, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8996, kappa: 0.7997, kb_relative_information_score: 0.7948, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9117, predictive_accuracy: 0.8993, prior_entropy: 0.9906, recall: 0.8993, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9494, kappa: 0.8973, kb_relative_information_score: 0.897, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.9906, recall: 0.9494, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9401, kappa: 0.8786, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9402, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.938, kappa: 0.8743, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9699, kappa: 0.9389, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.9906, recall: 0.9699, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9387, kappa: 0.8755, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9389, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9381, kappa: 0.8744, kb_relative_information_score: 0.8739, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9315, kappa: 0.8611, kb_relative_information_score: 0.8606, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 0.9906, recall: 0.9316, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 0.8737, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.938, predictive_accuracy: 0.938, prior_entropy: 0.9906, recall: 0.938, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5011,

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