Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 18125 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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18125 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9701, kappa: 0.9394, kb_relative_information_score: 0.9392, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3478,
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: 0.9219, f_measure: 0.9212, kappa: 0.8406, kb_relative_information_score: 0.8391, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9218, predictive_accuracy: 0.921, prior_entropy: 0.9906, recall: 0.921, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9561, kappa: 0.9109, kb_relative_information_score: 0.9106, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.9561, prior_entropy: 0.9906, recall: 0.9561, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9692, kappa: 0.9375, 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: 0.968, f_measure: 0.9693, kappa: 0.9377, kb_relative_information_score: 0.9375, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 0.9906, recall: 0.9693, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 0.9384, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9559, kappa: 0.9104, kb_relative_information_score: 0.9102, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9562, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.0893, 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: 0.9543, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 0.9111, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9566, predictive_accuracy: 0.9564, prior_entropy: 0.9906, recall: 0.9564, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 0.9406, 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: 0.9687, f_measure: 0.9697, kappa: 0.9385, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0303, 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: 0.0614, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9562, kappa: 0.9112, kb_relative_information_score: 0.911, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9906, recall: 0.9563, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9703, kappa: 0.9397, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9704, 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: 0.9687, f_measure: 0.9699, kappa: 0.939, kb_relative_information_score: 0.9388, 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: 0.9538, f_measure: 0.9557, kappa: 0.9101, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0442, 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: 0.0896, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9706, kappa: 0.9403, kb_relative_information_score: 0.9401, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 0.9906, recall: 0.9706, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9484, kappa: 0.8954, kb_relative_information_score: 0.8947, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9484, predictive_accuracy: 0.9483, prior_entropy: 0.9906, recall: 0.9483, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.9077, kappa: 0.814, kb_relative_information_score: 0.8114, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9102, predictive_accuracy: 0.9075, prior_entropy: 0.9906, recall: 0.9075, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 0.9384, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9564, kappa: 0.9116, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0435, 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: 0.0882, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9569, kappa: 0.9125, kb_relative_information_score: 0.9123, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9557, kappa: 0.9101, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9574, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8658, kappa: 0.7323, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8777, predictive_accuracy: 0.8654, prior_entropy: 0.9906, recall: 0.8654, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.9422, kappa: 0.883, kb_relative_information_score: 0.8822, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9423, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9696, kappa: 0.9383, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 0.9906, recall: 0.9696, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9676, kappa: 0.9343, kb_relative_information_score: 0.906, mean_absolute_error: 0.0497, 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: 0.1007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9279, kappa: 0.8536, kb_relative_information_score: 0.745, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9285, predictive_accuracy: 0.9281, prior_entropy: 0.9906, recall: 0.9281, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9718, kappa: 0.9429, kb_relative_information_score: 0.917, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9906, recall: 0.9719, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.929, kappa: 0.8558, kb_relative_information_score: 0.755, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9295, predictive_accuracy: 0.9292, prior_entropy: 0.9906, recall: 0.9292, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.232, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9688, kappa: 0.9367, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.9906, recall: 0.9688, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.97, kappa: 0.9392, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 0.9384, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9699, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 0.9406, 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: 0.9675, f_measure: 0.9689, kappa: 0.937, kb_relative_information_score: 0.9368, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9691, predictive_accuracy: 0.969, prior_entropy: 0.9906, recall: 0.969, relative_absolute_error: 0.0629, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9707, kappa: 0.9405, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 0.9906, recall: 0.9707, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9698, kappa: 0.9388, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, 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: 0.9667, f_measure: 0.9679, kappa: 0.9348, kb_relative_information_score: 0.9346, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9906, recall: 0.9679, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9705, kappa: 0.9402, kb_relative_information_score: 0.9399, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.9906, recall: 0.9705, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8359, kappa: 0.6759, kb_relative_information_score: 0.6656, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8572, predictive_accuracy: 0.8359, prior_entropy: 0.9906, recall: 0.8359, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 0.9384, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
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: 0.9068, f_measure: 0.9031, kappa: 0.805, kb_relative_information_score: 0.8018, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9071, predictive_accuracy: 0.9028, prior_entropy: 0.9906, recall: 0.9028, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9711, kappa: 0.9414, kb_relative_information_score: 0.9412, 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: 0.9701, 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: 0.9676, f_measure: 0.9689, kappa: 0.9368, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9906, recall: 0.9689, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 0.9408, mean_absolute_error: 0.029, 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: 0.0588, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 0.9355, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9574, kappa: 0.9135, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 0.9906, recall: 0.9575, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9697, kappa: 0.9385, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0303, 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: 0.0614, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8472, kappa: 0.6977, kb_relative_information_score: 0.6885, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8671, predictive_accuracy: 0.8471, prior_entropy: 0.9906, recall: 0.8471, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9707, kappa: 0.9407, kb_relative_information_score: 0.9405, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9906, recall: 0.9708, relative_absolute_error: 0.0592, 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: 0.9678, 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: 0.955, f_measure: 0.9569, kappa: 0.9125, kb_relative_information_score: 0.9123, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9571, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7906, kappa: 0.5956, kb_relative_information_score: 0.5773, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8369, predictive_accuracy: 0.7926, prior_entropy: 0.9906, recall: 0.7926, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, 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: 0.9696, f_measure: 0.971, kappa: 0.9412, kb_relative_information_score: 0.941, 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: 0.0587, 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: 0.9078, f_measure: 0.906, kappa: 0.8103, kb_relative_information_score: 0.8079, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9077, predictive_accuracy: 0.9057, prior_entropy: 0.9906, recall: 0.9057, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.307, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.97, kappa: 0.9392, kb_relative_information_score: 0.939, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9689, kappa: 0.9369, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9906, recall: 0.9689, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8991, kappa: 0.7972, kb_relative_information_score: 0.7937, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9038, predictive_accuracy: 0.8988, prior_entropy: 0.9906, recall: 0.8988, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9551, kappa: 0.909, kb_relative_information_score: 0.9087, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9555, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9696, kappa: 0.9383, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9697, predictive_accuracy: 0.9696, prior_entropy: 0.9906, recall: 0.9696, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.351,
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: 0.9682, f_measure: 0.9694, kappa: 0.9379, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.9012, kappa: 0.8012, kb_relative_information_score: 0.7981, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9045, predictive_accuracy: 0.9009, prior_entropy: 0.9906, recall: 0.9009, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9553, kappa: 0.9093, kb_relative_information_score: 0.9091, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9554, prior_entropy: 0.9906, recall: 0.9554, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9704, kappa: 0.94, 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: 0.9705, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 0.9417, 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: 0.9539, f_measure: 0.956, kappa: 0.9108, kb_relative_information_score: 0.9106, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9906, recall: 0.9561, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9577, kappa: 0.9142, kb_relative_information_score: 0.9139, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9559, kappa: 0.9106, kb_relative_information_score: 0.9104, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9555, kappa: 0.9097, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.09, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, 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: 0.9195, f_measure: 0.9202, kappa: 0.8385, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9203, 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: 0.9691, 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: 0.9531, f_measure: 0.9553, kappa: 0.9093, kb_relative_information_score: 0.9091, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9557, predictive_accuracy: 0.9554, prior_entropy: 0.9906, recall: 0.9554, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 0.9394, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9906, recall: 0.9702, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 0.9379, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8304, kappa: 0.6661, kb_relative_information_score: 0.6547, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8553, predictive_accuracy: 0.8306, prior_entropy: 0.9906, recall: 0.8306, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9706, kappa: 0.9403, kb_relative_information_score: 0.9401, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9707, predictive_accuracy: 0.9706, prior_entropy: 0.9906, recall: 0.9706, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9704, kappa: 0.94, 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: 0.9688, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 0.9394, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9906, recall: 0.9702, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9245, kappa: 0.8466, kb_relative_information_score: 0.847, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.9249, prior_entropy: 0.9906, recall: 0.9249, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9568, kappa: 0.9123, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9701, kappa: 0.9394, kb_relative_information_score: 0.9392, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.9906, recall: 0.9701, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 0.9417, 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: 0.9698, 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: 0.9683, f_measure: 0.9698, kappa: 0.9388, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.97, 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: 0.9679, 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: 0.9702, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 0.9417, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, 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: 0.9697, f_measure: 0.9708, kappa: 0.9409, kb_relative_information_score: 0.9406, 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: 0.7741, f_measure: 0.75, kappa: 0.524, kb_relative_information_score: 0.4991, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8108, predictive_accuracy: 0.7542, prior_entropy: 0.9906, recall: 0.7542, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, 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: 0.9704, 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: 0.9682, 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: 0.9534, f_measure: 0.9557, kappa: 0.91, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9561, predictive_accuracy: 0.9558, prior_entropy: 0.9906, recall: 0.9558, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9689, kappa: 0.9369, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.9906, recall: 0.9689, relative_absolute_error: 0.0631, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9113, kappa: 0.8213, kb_relative_information_score: 0.8188, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9138, predictive_accuracy: 0.9111, prior_entropy: 0.9906, recall: 0.9111, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7777, kappa: 0.5625, kb_relative_information_score: 0.5474, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8015, predictive_accuracy: 0.7779, prior_entropy: 0.9906, recall: 0.7779, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9487,

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