Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9531, kappa: 0.8855, kb_relative_information_score: 0.8751, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.1152, 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: 0.9527, f_measure: 0.9637, kappa: 0.9108, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9468, kappa: 0.8704, kb_relative_information_score: 0.8581, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9468, kappa: 0.8704, kb_relative_information_score: 0.8581, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9603, kappa: 0.9024, kb_relative_information_score: 0.8947, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9604, prior_entropy: 0.863, recall: 0.9604, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9612, kappa: 0.9049, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 0.8977, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 0.8958, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9479, kappa: 0.8726, kb_relative_information_score: 0.8612, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 0.8945, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9614, kappa: 0.9053, kb_relative_information_score: 0.8977, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9479, kappa: 0.8726, kb_relative_information_score: 0.8612, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8683, kappa: 0.685, kb_relative_information_score: 0.6432, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8743, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8683, kappa: 0.685, kb_relative_information_score: 0.6432, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8743, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9197, kappa: 0.8048, kb_relative_information_score: 0.785, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.9197, kappa: 0.8048, kb_relative_information_score: 0.785, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.873, kappa: 0.6957, kb_relative_information_score: 0.6563, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8783, predictive_accuracy: 0.8707, prior_entropy: 0.863, recall: 0.8707, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.873, kappa: 0.6957, kb_relative_information_score: 0.6563, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8783, predictive_accuracy: 0.8707, prior_entropy: 0.863, recall: 0.8707, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9258, kappa: 0.8197, kb_relative_information_score: 0.8013, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9258, kappa: 0.8197, kb_relative_information_score: 0.8013, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9635, kappa: 0.9103, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9372, kappa: 0.8472, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.952, kappa: 0.8826, kb_relative_information_score: 0.8723, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8897, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.962, kappa: 0.9066, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9372, kappa: 0.8472, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9639, kappa: 0.9114, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0383, 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: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.952, kappa: 0.8826, kb_relative_information_score: 0.8723, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 0.8897, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0383, 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: 0.0939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9135, kappa: 0.7909, kb_relative_information_score: 0.7672, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9159, predictive_accuracy: 0.9124, prior_entropy: 0.863, recall: 0.9124, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.9643, kappa: 0.9122, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9649, kappa: 0.9137, kb_relative_information_score: 0.9071, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9567, kappa: 0.8938, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9135, kappa: 0.7909, kb_relative_information_score: 0.7672, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9159, predictive_accuracy: 0.9124, prior_entropy: 0.863, recall: 0.9124, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9514, kappa: 0.8814, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9514, kappa: 0.8814, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.8272, kappa: 0.5952, kb_relative_information_score: 0.5263, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8421, predictive_accuracy: 0.8217, prior_entropy: 0.863, recall: 0.8217, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9406, kappa: 0.8542, kb_relative_information_score: 27212.209, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9405, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4571, scimark_benchmark: 1276.9436, usercpu_time_millis: 8509.433, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 8508.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.947, kappa: 0.87, kb_relative_information_score: 27938.7315, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9471, prior_entropy: 0.863, recall: 0.9471, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4327, scimark_benchmark: 1301.9904, usercpu_time_millis: 2847.621, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 2846.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8977, kappa: 0.7446, kb_relative_information_score: 17132.4709, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8988, predictive_accuracy: 0.9, prior_entropy: 0.863, recall: 0.9, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6397, scimark_benchmark: 1261.0502, usercpu_time_millis: 2456.984, usercpu_time_millis_testing: 4.091, usercpu_time_millis_training: 2452.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9251, kappa: 0.8151, kb_relative_information_score: 21375.4316, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5567, scimark_benchmark: 1249.6277, usercpu_time_millis: 3098.207, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 3097.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9221, kappa: 0.8067, kb_relative_information_score: 21857.7356, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5498, scimark_benchmark: 1254.3429, usercpu_time_millis: 2288.196, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 2286.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.931, kappa: 0.8282, kb_relative_information_score: 22766.8846, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.5122, scimark_benchmark: 1258.3184, usercpu_time_millis: 8451.213, usercpu_time_millis_testing: 14.687, usercpu_time_millis_training: 8436.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9414, kappa: 0.8562, kb_relative_information_score: 27168.2876, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.455, scimark_benchmark: 1296.5177, usercpu_time_millis: 7961.914, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 7961.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9347, kappa: 0.839, kb_relative_information_score: 25560.4364, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.488, scimark_benchmark: 1281.3269, usercpu_time_millis: 15017.199, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 15016.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9693, kappa: 0.9248, kb_relative_information_score: 31015.1969, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.3401, scimark_benchmark: 1291.7391, usercpu_time_millis: 6232.148, usercpu_time_millis_testing: 24.688, usercpu_time_millis_training: 6207.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.945, kappa: 0.8649, kb_relative_information_score: 27664.2794, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4409, scimark_benchmark: 1324.4851, usercpu_time_millis: 2098.262, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 2097.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9301, kappa: 0.8273, kb_relative_information_score: 23431.3892, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9301, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5139, scimark_benchmark: 1257.432, usercpu_time_millis: 3437.774, usercpu_time_millis_testing: 10.771, usercpu_time_millis_training: 3427.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9448, kappa: 0.8646, kb_relative_information_score: 27625.7599, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4427, scimark_benchmark: 1265.8531, usercpu_time_millis: 10044.566, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 10043.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9464, kappa: 0.8686, kb_relative_information_score: 27833.4794, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4376, scimark_benchmark: 1292.1438, usercpu_time_millis: 11557.676, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 11556.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9143, kappa: 0.7879, kb_relative_information_score: 17485.3988, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9143, predictive_accuracy: 0.9153, prior_entropy: 0.863, recall: 0.9153, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.6285, scimark_benchmark: 1290.1528, usercpu_time_millis: 8615.069, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 8614.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.935, kappa: 0.8399, kb_relative_information_score: 25545.0822, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4883, scimark_benchmark: 1308.1993, usercpu_time_millis: 4053.907, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 4053.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9416, kappa: 0.8565, kb_relative_information_score: 27157.3031, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4554, scimark_benchmark: 1274.7037, usercpu_time_millis: 397.835, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 396.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 30626.9897, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571, scimark_benchmark: 1245.0648, usercpu_time_millis: 3223.1, usercpu_time_millis_testing: 15.149, usercpu_time_millis_training: 3207.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9321, kappa: 0.8327, kb_relative_information_score: 25072.5425, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4986, scimark_benchmark: 1281.2881, usercpu_time_millis: 1200.589, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 1199.755,

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

OpenML bootcamp

From your own software

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

OpenML APIs