OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31714 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31714 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9377, kappa: 0.845, kb_relative_information_score: 27162.6209, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29743.7569, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9551, kappa: 0.8897, kb_relative_information_score: 29118.9388, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9666, kappa: 0.9182, kb_relative_information_score: 29614.2848, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.6054, kappa: 0.0127, kb_relative_information_score: 64.6268, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6242, predictive_accuracy: 0.7107, prior_entropy: 0.863, recall: 0.7107, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9669, kappa: 0.9189, kb_relative_information_score: 4111.8785, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4251, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9635, kappa: 0.9106, kb_relative_information_score: 29798.0944, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.964, kappa: 0.9119, kb_relative_information_score: 29946.8438, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 30204.4432, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9503, kappa: 0.8781, kb_relative_information_score: 28354.5907, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9585, kappa: 0.8982, kb_relative_information_score: 28562.6689, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9566, kappa: 0.8937, kb_relative_information_score: 8784.9761, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9362, kappa: 0.8437, kb_relative_information_score: 26765.0604, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8105, kappa: 0.5424, kb_relative_information_score: 15183.9993, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8142, predictive_accuracy: 0.8081, prior_entropy: 0.863, recall: 0.8081, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.956, kappa: 0.8922, kb_relative_information_score: 29088.484, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9717, kappa: 0.9306, kb_relative_information_score: 3332.4474, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9717, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9241, kappa: 0.8145, kb_relative_information_score: 25071.5794, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9243, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.238, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.6107, kappa: 0.0321, kb_relative_information_score: 1013.2212, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7601, predictive_accuracy: 0.7202, prior_entropy: 0.863, recall: 0.7202, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9448, kappa: 0.8636, kb_relative_information_score: -5665.7437, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 1.0657, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.938, kappa: 0.8484, kb_relative_information_score: 26405.5284, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9652, kappa: 0.9148, kb_relative_information_score: 30033.3216, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29269.8057, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9609, kappa: 0.9042, kb_relative_information_score: 29302.1748, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9334, kappa: 0.8348, kb_relative_information_score: 1870.427, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8111, kappa: 0.5436, kb_relative_information_score: 15221.2996, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8146, predictive_accuracy: 0.8088, prior_entropy: 0.863, recall: 0.8088, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9713, kappa: 0.9296, kb_relative_information_score: 31321.4971, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9713, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9707, kappa: 0.9282, kb_relative_information_score: 24952.7718, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9533, kappa: 0.8851, kb_relative_information_score: 925.7659, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.94, kappa: 0.8527, kb_relative_information_score: 27320.4144, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 30008.0257, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 29544.6816, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29543.7672, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9546, kappa: 0.8888, kb_relative_information_score: 28875.0999, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28794.4578, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.954, kappa: 0.8872, kb_relative_information_score: -4812.4514, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 1.0484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9394, kappa: 0.8519, kb_relative_information_score: 26408.791, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.963, kappa: 0.9094, kb_relative_information_score: 29930.5351, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1354, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9564, kappa: 0.8932, kb_relative_information_score: 29138.4811, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9456, kappa: 0.8658, kb_relative_information_score: -6475.3918, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 1.0801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28741.1031, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9416, kappa: 0.8555, kb_relative_information_score: -11004.9826, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 1.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7005, kappa: 0.2367, kb_relative_information_score: 6120.4776, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8084, predictive_accuracy: 0.7638, prior_entropy: 0.863, recall: 0.7638, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.7435, kappa: 0.3417, kb_relative_information_score: 9229.9012, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8243, predictive_accuracy: 0.7887, prior_entropy: 0.863, recall: 0.7887, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9501, kappa: 0.8767, kb_relative_information_score: -4488.2469, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 0.0548, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9251, kappa: 0.8164, kb_relative_information_score: 25617.2153, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9251, prior_entropy: 0.863, recall: 0.9251, relative_absolute_error: 0.2586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28771.343, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9688, kappa: 0.9232, kb_relative_information_score: 31385.236, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3595,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9441, kappa: 0.8615, kb_relative_information_score: 27562.5083, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9446, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9486, kappa: 0.8739, kb_relative_information_score: 28244.6453, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4289,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9489, kappa: 0.874, kb_relative_information_score: -1322.4947, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9167, kb_relative_information_score: 29563.9832, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8944, kappa: 0.7389, kb_relative_information_score: 22586.6313, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8941, predictive_accuracy: 0.8955, prior_entropy: 0.863, recall: 0.8955, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.953, kappa: 0.8849, kb_relative_information_score: 28663.5772, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.925, kappa: 0.8172, kb_relative_information_score: 25380.982, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9256, predictive_accuracy: 0.9246, prior_entropy: 0.863, recall: 0.9246, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28611.6374, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9629, kappa: 0.9091, kb_relative_information_score: 29750.2112, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9489, kappa: 0.8747, kb_relative_information_score: 28319.112, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9308, kappa: 0.8303, kb_relative_information_score: 26288.6174, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9661, kappa: 0.917, kb_relative_information_score: -11517.0471, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 1.1768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9543, kappa: 0.8875, kb_relative_information_score: 29031.1015, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9531, kappa: 0.8841, kb_relative_information_score: 28762.3745, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9646, kappa: 0.9133, kb_relative_information_score: 29508.3686, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 29231.0439, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9695, kappa: 0.925, kb_relative_information_score: -7956.3252, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 1.1056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8548, kappa: 0.6509, kb_relative_information_score: 15457.8362, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8525, prior_entropy: 0.863, recall: 0.8525, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.952, kappa: 0.8822, kb_relative_information_score: 28551.7139, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9717, kappa: 0.9306, kb_relative_information_score: 6757.775, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.863, recall: 0.9717, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9209, kappa: 0.8055, kb_relative_information_score: 25419.5664, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9213, prior_entropy: 0.863, recall: 0.9213, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9732, kappa: 0.9343, kb_relative_information_score: 15834.8251, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9128, kappa: 0.7803, kb_relative_information_score: 23940.4109, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.919, predictive_accuracy: 0.9162, prior_entropy: 0.863, recall: 0.9162, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9416, kappa: 0.8557, kb_relative_information_score: 4389.7927, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9616, kappa: 0.9059, kb_relative_information_score: 28704.3079, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.954, kappa: 0.8872, kb_relative_information_score: 28779.4504, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.4092,

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