389
1
weka.IBk
2
Weka_3.7.12-SNAPSHOT_10141
D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
2014-08-16T20:30:37
English
Weka_3.7.12-SNAPSHOT
-do-not-check-capabilities
flag
If set, classifier capabilities are not checked before classifier is built
(use with caution).
A
flag
true
The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).
E
flag
Minimise mean squared error rather than mean absolute
error when using -X option with numeric prediction.
F
flag
Weight neighbours by 1 - their distance
(use when k > 1)
I
flag
Weight neighbours by the inverse of their distance
(use when k > 1)
K
option
1
Number of nearest neighbours (k) used in classification.
(Default = 1)
W
option
0
Maximum number of training instances maintained.
Training instances are dropped FIFO. (Default = no window)
X
flag
Select the number of nearest neighbours between 1
and the k value specified using hold-one-out evaluation
on the training data (use when k > 1)
output-debug-info
flag
If set, classifier is run in debug mode and
may output additional info to the console
Verified_Learning_Curve,Verified_Supervised_Classification
https://api.openml.org/data/download/49874/weka.classifiers.lazy.IBk4516247375905889161.class
class
8f4c942515ae7bb472ad5365872dfa2c