683 233 CBWkNN 1 1 HubMiner implementation of CBWkNN 2014-10-30T17:31:26 java cmet class distances.primary.CombinedMetric NULL floats:distances.primary.MinkowskiMetric:{"p":2.0} "combineBy":SUM external_preprocessing String feature_noise_rate:0, label_noise_rate:0, noise_type:uniform instance_selection:NONE, proto_hubness:UNBIASED, app_knn_sets:FALSE This parameter is actually a list of theparameters of the experimental framework that affect theperformance of algorithms that are being tested. Since theygreatly affect the results, they are reported in order todistinguish between different result uploads and makesmarter comparisons. k int 10 1 mValue int 2 2 Verified_Supervised_Classification https://api.openml.org/data/download/117141/CBWkNN.java java 10772adbbc70f9971ac5b18e9d569c39