Task
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: 0.9665, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 0.9281, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9703, kappa: 0.9398, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9906, recall: 0.9703, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9712, kappa: 0.9416, kb_relative_information_score: 0.9414, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9312, kappa: 0.8606, kb_relative_information_score: 0.8599, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.9906, recall: 0.9313, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 0.9373, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 0.9335, mean_absolute_error: 0.0327, 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: 0.0662, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9704, kappa: 0.9399, kb_relative_information_score: 0.9397, mean_absolute_error: 0.0296, 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: 0.0599, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9612, kappa: 0.9216, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9616, predictive_accuracy: 0.9612, prior_entropy: 0.9906, recall: 0.9612, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 0.9281, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 0.9335, mean_absolute_error: 0.0327, 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: 0.0662, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 0.9373, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9712, kappa: 0.9416, kb_relative_information_score: 0.9414, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9703, kappa: 0.9398, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9906, recall: 0.9703, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 0.896, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9906, recall: 0.949, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9407, kappa: 0.8797, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9408, prior_entropy: 0.9906, recall: 0.9408, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9179, kappa: 0.8332, kb_relative_information_score: 0.8334, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.919, predictive_accuracy: 0.9182, prior_entropy: 0.9906, recall: 0.9182, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9598, kappa: 0.9185, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9604, kappa: 0.9196, kb_relative_information_score: 0.9193, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.9906, recall: 0.9604, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9312, kappa: 0.8606, kb_relative_information_score: 0.8599, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.9906, recall: 0.9313, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9653, kappa: 0.9296, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9906, recall: 0.9653, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9385, kappa: 0.8752, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9445, kappa: 0.8875, kb_relative_information_score: 0.8872, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 0.9906, recall: 0.9446, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9661, kappa: 0.9312, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.9906, recall: 0.9661, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9628, kappa: 0.9246, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9906, recall: 0.9628, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9566, kappa: 0.912, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9906, recall: 0.9567, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9567, kappa: 0.9122, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9179, kappa: 0.8332, kb_relative_information_score: 0.8334, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.919, predictive_accuracy: 0.9182, prior_entropy: 0.9906, recall: 0.9182, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9604, kappa: 0.9196, kb_relative_information_score: 0.9193, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.9906, recall: 0.9604, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9598, kappa: 0.9185, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9385, kappa: 0.8752, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9661, kappa: 0.9312, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.9906, recall: 0.9661, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9653, kappa: 0.9296, kb_relative_information_score: 0.9292, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9906, recall: 0.9653, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9445, kappa: 0.8875, kb_relative_information_score: 0.8872, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 0.9906, recall: 0.9446, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.4737,
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: 0.9521, f_measure: 0.9497, kappa: 0.8985, kb_relative_information_score: 0.8973, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9512, predictive_accuracy: 0.9496, prior_entropy: 0.9906, recall: 0.9496, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9612, kappa: 0.9216, kb_relative_information_score: 0.9209, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9616, predictive_accuracy: 0.9612, prior_entropy: 0.9906, recall: 0.9612, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 0.9335, mean_absolute_error: 0.0327, 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: 0.0662, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9712, kappa: 0.9416, kb_relative_information_score: 0.9414, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9703, kappa: 0.9398, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9906, recall: 0.9703, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9648, kappa: 0.9286, kb_relative_information_score: 0.9283, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9648, predictive_accuracy: 0.9648, prior_entropy: 0.9906, recall: 0.9648, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 0.896, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9906, recall: 0.949, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9567, kappa: 0.9122, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9675, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9647, kappa: 0.9284, kb_relative_information_score: 0.9281, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9628, kappa: 0.9246, kb_relative_information_score: 0.9242, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9906, recall: 0.9628, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9566, kappa: 0.912, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9906, recall: 0.9567, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9692, kappa: 0.9376, kb_relative_information_score: 0.9373, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9692, prior_entropy: 0.9906, recall: 0.9692, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9312, kappa: 0.8606, kb_relative_information_score: 0.8599, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.9906, recall: 0.9313, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.934, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.9906, recall: 0.9676, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9407, kappa: 0.8797, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9408, prior_entropy: 0.9906, recall: 0.9408, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9374, kappa: 0.873, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9906, recall: 0.9375, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 0.941, mean_absolute_error: 0.0289, 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: 0.0587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9573, kappa: 0.9133, kb_relative_information_score: 0.913, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.9906, recall: 0.9573, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.416,
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: 0.9688, 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: 0.97, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 0.941, mean_absolute_error: 0.0289, 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: 0.0587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9348, kappa: 0.8678, kb_relative_information_score: 0.8675, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9351, predictive_accuracy: 0.935, prior_entropy: 0.9906, recall: 0.935, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5134,
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: 0.9626, 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: 0.9385, 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: 0.9294, 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: 0.9364, 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: 0.936, 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: 0.9363, 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: 0.9363, 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,
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: 0.936, 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: 0.9385, 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: 0.9364, 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: 0.9294, 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: 0.9381, 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: 0.9688, 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: 0.97, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 0.941, mean_absolute_error: 0.0289, 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: 0.0587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9348, kappa: 0.8678, kb_relative_information_score: 0.8675, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9351, predictive_accuracy: 0.935, prior_entropy: 0.9906, recall: 0.935, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5134,
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: 0.9321, 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: 0.9177, 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: 0.9365, 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: 0.9722, 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: 0.9626, 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: 0.9444, 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: 0.9349, 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: 0.9363, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.971, kappa: 0.9413, kb_relative_information_score: 0.941, mean_absolute_error: 0.0289, 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: 0.0587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3425,
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: 0.9354, f_measure: 0.9374, kappa: 0.873, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.9906, recall: 0.9375, relative_absolute_error: 0.1267, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9573, kappa: 0.9133, kb_relative_information_score: 0.913, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.9906, recall: 0.9573, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.416,

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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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs