Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 17125 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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17125 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: 0.3341, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9378, kappa: 0.8738, kb_relative_information_score: 9216.3602, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9379, predictive_accuracy: 0.9379, prior_entropy: 0.9906, recall: 0.9379, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9131, kappa: 0.826, kb_relative_information_score: 7866.7253, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9213, predictive_accuracy: 0.9128, prior_entropy: 0.9906, recall: 0.9128, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7074.4433, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9658, kappa: 0.9306, kb_relative_information_score: 9754.4983, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 0.9906, recall: 0.9658, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.4519, kappa: 0.0464, kb_relative_information_score: 766.0039, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.6269, predictive_accuracy: 0.5731, prior_entropy: 0.9906, recall: 0.5731, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 10084.9961, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 9778.7641, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.922, kappa: 0.8421, kb_relative_information_score: 8797.7832, mean_absolute_error: 0.1066, 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: 0.216, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.906, kappa: 0.8107, kb_relative_information_score: 8453.4533, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9089, predictive_accuracy: 0.9057, prior_entropy: 0.9906, recall: 0.9057, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7083.3997, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 9853.4189, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9665, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.8411, kappa: 0.6798, kb_relative_information_score: 6007.9889, mean_absolute_error: 0.2418, 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: 0.49, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.5281, kappa: 0.2327, kb_relative_information_score: 1869.3032, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7857, predictive_accuracy: 0.5851, prior_entropy: 0.9906, recall: 0.5851, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9727, kappa: 0.9447, kb_relative_information_score: 9753.2239, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.97, kappa: 0.9391, kb_relative_information_score: 10378.37, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.9906, recall: 0.97, relative_absolute_error: 0.0609, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9729, kappa: 0.945, kb_relative_information_score: 10229.7193, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9709, kappa: 0.9409, kb_relative_information_score: 10398.7493, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9906, recall: 0.9709, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 9814.2739, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 10059.8937, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.9906, recall: 0.9715, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9727, kappa: 0.9446, kb_relative_information_score: 9775.3904, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9906, recall: 0.9727, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 10209.9394, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9906, recall: 0.9687, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9729, kappa: 0.945, kb_relative_information_score: 10223.0532, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 10142.9036, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9906, recall: 0.9731, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9724, kappa: 0.9441, kb_relative_information_score: 10165.4784, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9704, kappa: 0.94, kb_relative_information_score: 9986.4313, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 0.9906, recall: 0.9704, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9739, kappa: 0.9472, kb_relative_information_score: 10468.0388, mean_absolute_error: 0.0261, 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: 0.0528, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10146.5584, mean_absolute_error: 0.0441, 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: 0.0894, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9711, kappa: 0.9415, kb_relative_information_score: 10404.8631, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9722, kappa: 0.9437, kb_relative_information_score: 10275.9607, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9906, recall: 0.9722, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 10466.0009, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 10078.8934, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.9906, recall: 0.971, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 10466.0009, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10095.3757, mean_absolute_error: 0.0471, 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: 0.0954, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9734, kappa: 0.9461, kb_relative_information_score: 9805.8239, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.148, root_relative_squared_error: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9738, kappa: 0.9468, kb_relative_information_score: 10463.963, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9726, kappa: 0.9444, kb_relative_information_score: 10162.0018, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9906, recall: 0.9726, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9733, kappa: 0.9459, kb_relative_information_score: 10226.0056, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.9906, recall: 0.9733, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 10307.8723, mean_absolute_error: 0.0348, 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: 0.0704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.139, root_relative_squared_error: 0.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9726, kappa: 0.9444, kb_relative_information_score: 10162.0018, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9906, recall: 0.9726, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9738, kappa: 0.9468, kb_relative_information_score: 10463.963, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9739, kappa: 0.9472, kb_relative_information_score: 10468.0388, mean_absolute_error: 0.0261, 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: 0.0528, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9733, kappa: 0.9459, kb_relative_information_score: 10198.956, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.9906, recall: 0.9733, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2765,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 10410.9769, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.9906, recall: 0.9714, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 9923.328, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9706, kappa: 0.9403, kb_relative_information_score: 10014.7628, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9706, predictive_accuracy: 0.9706, prior_entropy: 0.9906, recall: 0.9706, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.2977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9739, kappa: 0.9471, kb_relative_information_score: 10468.0388, mean_absolute_error: 0.0261, 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: 0.0528, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10311.398, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9735, kappa: 0.9463, kb_relative_information_score: 10250.8927, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9906, recall: 0.9735, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9728, kappa: 0.9448, kb_relative_information_score: 10019.1103, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9686, kappa: 0.9363, kb_relative_information_score: 10347.8011, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.9906, recall: 0.9686, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3567,

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