OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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19725 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9352, kappa: 0.8685, kb_relative_information_score: 9597.8436, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.9906, recall: 0.9353, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9688, kappa: 0.9367, kb_relative_information_score: 10351.877, mean_absolute_error: 0.0312, 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: 0.0632, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9419, kappa: 0.8819, kb_relative_information_score: 5222.5327, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9432, predictive_accuracy: 0.9421, prior_entropy: 0.9906, recall: 0.9421, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9481, kappa: 0.8949, kb_relative_information_score: 9182.4853, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.9906, recall: 0.9482, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9335, kappa: 0.865, kb_relative_information_score: 9559.123, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9338, predictive_accuracy: 0.9336, prior_entropy: 0.9906, recall: 0.9336, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9544, kappa: 0.9074, kb_relative_information_score: 9801.5909, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.9906, recall: 0.9544, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9294, kappa: 0.8567, kb_relative_information_score: 9467.4163, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9297, predictive_accuracy: 0.9295, prior_entropy: 0.9906, recall: 0.9295, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9557, kappa: 0.9102, kb_relative_information_score: 10058.4153, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9558, 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: 0.991, f_measure: 0.9504, kappa: 0.8994, kb_relative_information_score: 8961.4878, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9906, recall: 0.9504, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 10425.2424, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 0.9906, recall: 0.972, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8575, kappa: 0.7199, kb_relative_information_score: 7849.3015, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8856, predictive_accuracy: 0.8577, prior_entropy: 0.9906, recall: 0.8577, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.946, kappa: 0.8905, kb_relative_information_score: 9218.792, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.946, predictive_accuracy: 0.946, prior_entropy: 0.9906, recall: 0.946, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 10384.4838, 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: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9537, kappa: 0.9061, kb_relative_information_score: 9502.6645, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9697, kappa: 0.9385, kb_relative_information_score: 9969.4609, mean_absolute_error: 0.0529, 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: 0.1073, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9602, kappa: 0.9193, kb_relative_information_score: 9646.5968, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.9906, recall: 0.9602, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9421, kappa: 0.8825, kb_relative_information_score: 9752.7262, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, 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: 0.9448, f_measure: 0.9471, kappa: 0.8926, kb_relative_information_score: 9864.8122, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9474, predictive_accuracy: 0.9472, prior_entropy: 0.9906, recall: 0.9472, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9603, kappa: 0.9196, kb_relative_information_score: 10162.3497, 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: 0.9917, f_measure: 0.9517, kappa: 0.9021, kb_relative_information_score: 8688.323, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9519, predictive_accuracy: 0.9518, prior_entropy: 0.9906, recall: 0.9518, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9632, kappa: 0.9253, kb_relative_information_score: 10225.5254, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9906, recall: 0.9632, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 10463.963, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9709, kappa: 0.9409, kb_relative_information_score: 10398.7493, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9906, recall: 0.9709, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8703, kappa: 0.7438, kb_relative_information_score: 8132.5735, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8927, predictive_accuracy: 0.8703, prior_entropy: 0.9906, recall: 0.8703, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9352, kappa: 0.8685, kb_relative_information_score: 9597.8436, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9353, prior_entropy: 0.9906, recall: 0.9353, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.966, kappa: 0.9311, kb_relative_information_score: 9924.3031, mean_absolute_error: 0.0543, 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: 0.11, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9632, kappa: 0.9253, kb_relative_information_score: 10225.5254, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9906, recall: 0.9632, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9655, kappa: 0.9301, kb_relative_information_score: 10278.5115, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9906, recall: 0.9655, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 9071.9618, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9906, recall: 0.952, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9582, kappa: 0.9152, kb_relative_information_score: 9566.7609, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9548, kappa: 0.9083, kb_relative_information_score: 9554.9841, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9548, predictive_accuracy: 0.9548, prior_entropy: 0.9906, recall: 0.9548, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 9541.8374, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.1505, 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: 0.9188, f_measure: 0.9241, kappa: 0.8458, kb_relative_information_score: 9357.3681, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.927, predictive_accuracy: 0.9246, prior_entropy: 0.9906, recall: 0.9246, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9598, kappa: 0.9185, kb_relative_information_score: 9603.6419, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9593, kappa: 0.9174, kb_relative_information_score: 10137.8945, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.9906, recall: 0.9593, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9102, kappa: 0.8203, kb_relative_information_score: 9025.1859, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.919, predictive_accuracy: 0.9099, prior_entropy: 0.9906, recall: 0.9099, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9665, kappa: 0.9321, kb_relative_information_score: 10300.9288, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.9906, recall: 0.9665, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9272, kappa: 0.8523, kb_relative_information_score: 9418.506, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9275, predictive_accuracy: 0.9274, prior_entropy: 0.9906, recall: 0.9274, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9486, kappa: 0.8959, kb_relative_information_score: 9318.4842, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.9906, recall: 0.9486, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.967, kappa: 0.9332, kb_relative_information_score: 10311.1184, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.9906, recall: 0.967, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9218, kappa: 0.8411, kb_relative_information_score: 9298.2682, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9226, predictive_accuracy: 0.922, prior_entropy: 0.9906, recall: 0.922, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9516, kappa: 0.9019, kb_relative_information_score: 8770.5325, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 0.9906, recall: 0.9517, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.937, kappa: 0.8722, kb_relative_information_score: 9638.6022, 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: 0.9718, f_measure: 0.9728, kappa: 0.9449, kb_relative_information_score: 10443.5837, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9728, kappa: 0.9449, kb_relative_information_score: 10443.5837, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9609, kappa: 0.9207, kb_relative_information_score: 10174.5772, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.9906, recall: 0.9609, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9252, kappa: 0.8497, kb_relative_information_score: 9363.4819, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9304, 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: 0.9944, f_measure: 0.9603, kappa: 0.9194, kb_relative_information_score: 9498.7884, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9906, recall: 0.9603, relative_absolute_error: 0.1546, 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: 0.9214, f_measure: 0.9238, kappa: 0.8454, kb_relative_information_score: 9341.0647, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.924, predictive_accuracy: 0.9239, prior_entropy: 0.9906, recall: 0.9239, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9546, kappa: 0.908, kb_relative_information_score: 9306.2631, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.9906, recall: 0.9547, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9631, kappa: 0.9251, kb_relative_information_score: 9788.6394, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.9906, recall: 0.9631, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9463, kappa: 0.8909, kb_relative_information_score: 6754.8279, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9471, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9517, kappa: 0.902, kb_relative_information_score: 9374.9971, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.9906, recall: 0.9517, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9662, kappa: 0.9314, kb_relative_information_score: 10292.777, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 0.9906, recall: 0.9662, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9524, kappa: 0.9035, kb_relative_information_score: 9985.0499, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 0.9906, recall: 0.9525, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9659, kappa: 0.9308, kb_relative_information_score: 9811.2036, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.9659, prior_entropy: 0.9906, recall: 0.9659, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9733, kappa: 0.9459, kb_relative_information_score: 10453.7733, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.9906, recall: 0.9733, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9744, kappa: 0.9481, kb_relative_information_score: 10478.2285, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9906, recall: 0.9744, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9521, kappa: 0.9029, kb_relative_information_score: 9702.1402, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 0.9906, recall: 0.9521, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9486, kappa: 0.8958, kb_relative_information_score: 9481.6032, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.9906, recall: 0.9486, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9422, kappa: 0.8827, kb_relative_information_score: 9754.7641, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9423, prior_entropy: 0.9906, recall: 0.9423, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9637, kappa: 0.9264, kb_relative_information_score: 9797.789, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9906, recall: 0.9637, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9556, kappa: 0.9101, kb_relative_information_score: 9598.4153, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9906, recall: 0.9557, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9556, kappa: 0.9099, kb_relative_information_score: 9404.6451, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9661, kappa: 0.9312, kb_relative_information_score: 10290.7391, 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: 0.7734, f_measure: 0.7851, kappa: 0.5721, kb_relative_information_score: 6508.345, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8448, predictive_accuracy: 0.7982, prior_entropy: 0.9906, recall: 0.7982, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.9311, kappa: 0.8614, kb_relative_information_score: 9497.9852, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.935, predictive_accuracy: 0.9309, prior_entropy: 0.9906, recall: 0.9309, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 9438.5935, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9328, kappa: 0.8636, kb_relative_information_score: 9542.8196, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.933, predictive_accuracy: 0.9329, prior_entropy: 0.9906, recall: 0.9329, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9473, kappa: 0.893, kb_relative_information_score: 9868.888, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9389, kappa: 0.8761, kb_relative_information_score: 9681.3987, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 0.9906, recall: 0.939, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.966, kappa: 0.931, kb_relative_information_score: 8040.1409, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.9906, recall: 0.966, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9545, kappa: 0.9076, kb_relative_information_score: 9771.8226, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9906, recall: 0.9545, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9465, kappa: 0.8915, kb_relative_information_score: 9374.8136, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9584, kappa: 0.9156, kb_relative_information_score: 10117.5152, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9906, recall: 0.9584, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9465, kappa: 0.8916, kb_relative_information_score: 9271.7977, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9906, recall: 0.9465, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9582, kappa: 0.9151, kb_relative_information_score: 9868.403, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9583, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9412, kappa: 0.8806, kb_relative_information_score: 7390.9419, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9416, predictive_accuracy: 0.9413, prior_entropy: 0.9906, recall: 0.9413, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.4864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8617, kappa: 0.7278, kb_relative_information_score: 7943.0462, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8877, predictive_accuracy: 0.8619, prior_entropy: 0.9906, recall: 0.8619, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.932, kappa: 0.8621, kb_relative_information_score: 9526.5162, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9322, predictive_accuracy: 0.9322, prior_entropy: 0.9906, recall: 0.9322, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6429, kappa: 0.3258, kb_relative_information_score: 4085.2487, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7935, predictive_accuracy: 0.6906, prior_entropy: 0.9906, recall: 0.6906, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9729, kappa: 0.9451, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9653, kappa: 0.9297, kb_relative_information_score: 10274.4357, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9471, kappa: 0.8927, kb_relative_information_score: 9258.6798, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9906, recall: 0.9471, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9386, kappa: 0.8754, kb_relative_information_score: 9673.247, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.9387, prior_entropy: 0.9906, recall: 0.9387, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9663, kappa: 0.9317, kb_relative_information_score: 9837.2336, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9719, kappa: 0.9431, kb_relative_information_score: 10095.9192, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.9906, recall: 0.972, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.2864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9585, kappa: 0.9158, kb_relative_information_score: 9633.7978, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9906, recall: 0.9585, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9554, kappa: 0.9096, kb_relative_information_score: 9549.847, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9906, recall: 0.9554, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,

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