OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31592 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31592 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, 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: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, 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: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9597, kappa: 0.9013, kb_relative_information_score: 29381.9079, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9552, kappa: 0.8899, kb_relative_information_score: 28030.1941, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9573, kappa: 0.8952, kb_relative_information_score: 28310.5093, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9574, kappa: 0.8953, kb_relative_information_score: 28268.3598, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 29505.0044, mean_absolute_error: 0.0626, 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: 0.1534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9583, kappa: 0.8967, kb_relative_information_score: 26016.8181, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29691.5767, mean_absolute_error: 0.059, 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: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29558.4002, mean_absolute_error: 0.0621, 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: 0.1521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9639, kappa: 0.9112, kb_relative_information_score: 28873.7241, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.92, kappa: 0.7987, kb_relative_information_score: 18275.674, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.923, prior_entropy: 0.863, recall: 0.923, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9183, kb_relative_information_score: 29547.7559, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 28777.3567, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29745.4712, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9629, kappa: 0.9083, kb_relative_information_score: 26776.8858, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9009, kappa: 0.7535, kb_relative_information_score: 19630.2254, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9014, predictive_accuracy: 0.9027, prior_entropy: 0.863, recall: 0.9027, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9286, kappa: 0.823, kb_relative_information_score: 22472.6775, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.5337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9284, kappa: 0.8214, kb_relative_information_score: 12727.6719, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9301, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9217, kappa: 0.8064, kb_relative_information_score: 23319.9544, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9216, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9379, kappa: 0.846, kb_relative_information_score: 25032.3826, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 29709.8688, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9469, kappa: 0.8698, kb_relative_information_score: 28055.4455, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9133, kappa: 0.7843, kb_relative_information_score: 20477.3199, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9138, predictive_accuracy: 0.9148, prior_entropy: 0.863, recall: 0.9148, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9416, kappa: 0.8562, kb_relative_information_score: 26432.8008, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9385, kappa: 0.8472, kb_relative_information_score: 15412.0997, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9157, kappa: 0.7905, kb_relative_information_score: 20321.4777, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9162, predictive_accuracy: 0.9171, prior_entropy: 0.863, recall: 0.9171, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9714, kappa: 0.9298, kb_relative_information_score: 30886.285, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9334, kappa: 0.8345, kb_relative_information_score: 20085.4979, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.926, kappa: 0.8168, kb_relative_information_score: 22854.394, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9269, prior_entropy: 0.863, recall: 0.9269, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9339, kappa: 0.8354, kb_relative_information_score: 23001.4224, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9428, kappa: 0.8596, kb_relative_information_score: 26740.3399, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9361, kappa: 0.8417, kb_relative_information_score: 23838.4205, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.22, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9356, kappa: 0.8414, kb_relative_information_score: 25739.8945, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9364, kappa: 0.8432, kb_relative_information_score: 24961.2413, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9345, kappa: 0.8387, kb_relative_information_score: 25321.1997, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9344, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9422, kappa: 0.8574, kb_relative_information_score: 25764.2248, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9721, kappa: 0.9317, kb_relative_information_score: 30924.9634, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.3237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9353, kappa: 0.8406, kb_relative_information_score: 25663.1824, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9147, kappa: 0.788, kb_relative_information_score: 21342.6599, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9151, predictive_accuracy: 0.916, prior_entropy: 0.863, recall: 0.916, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9494, kappa: 0.8759, kb_relative_information_score: 29247.4254, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9466, kappa: 0.8689, kb_relative_information_score: 28046.6852, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9434, kappa: 0.861, kb_relative_information_score: 27042.3018, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4523,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8271, kappa: 0.5563, kb_relative_information_score: 12804.9676, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8535, predictive_accuracy: 0.8433, prior_entropy: 0.863, recall: 0.8433, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7417,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9133, kappa: 0.7837, kb_relative_information_score: 20405.7996, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9146, predictive_accuracy: 0.9152, prior_entropy: 0.863, recall: 0.9152, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9694, kappa: 0.9251, kb_relative_information_score: 30504.3564, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9458, kappa: 0.8668, kb_relative_information_score: 27620.4268, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9109, kappa: 0.7787, kb_relative_information_score: 15548.5478, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9113, predictive_accuracy: 0.9123, prior_entropy: 0.863, recall: 0.9123, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.948, kappa: 0.8725, kb_relative_information_score: 28164.5691, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4302,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9411, kappa: 0.8553, kb_relative_information_score: 26841.8093, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9395, kappa: 0.8511, kb_relative_information_score: 26508.0322, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9387, kappa: 0.8492, kb_relative_information_score: 26347.4804, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9167, kappa: 0.7918, kb_relative_information_score: 18314.8079, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9187, prior_entropy: 0.863, recall: 0.9187, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2684, root_relative_squared_error: 0.5943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9453, kappa: 0.8658, kb_relative_information_score: 27362.9731, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9109, kappa: 0.7795, kb_relative_information_score: 21873.3685, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9108, predictive_accuracy: 0.9119, prior_entropy: 0.863, recall: 0.9119, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.943, kappa: 0.8595, kb_relative_information_score: 26243.0416, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9434, prior_entropy: 0.863, recall: 0.9434, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9364, kappa: 0.8435, kb_relative_information_score: 25577.1551, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 30438.5966, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9697, kappa: 0.9257, kb_relative_information_score: 30581.9782, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9, kappa: 0.7485, kb_relative_information_score: 17427.5992, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.904, predictive_accuracy: 0.9034, prior_entropy: 0.863, recall: 0.9034, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.6419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9382, kb_relative_information_score: 31457.8744, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.3057,

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