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