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weka.IBk

weka.IBk

Visibility: public Uploaded 20-02-2018 by Jan van Rijn Weka_3.9.0 12 runs
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D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

Parameters

-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).
AThe nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch).default: true
EMinimise mean squared error rather than mean absolute error when using -X option with numeric prediction.
FWeight neighbours by 1 - their distance (use when k > 1)
IWeight neighbours by the inverse of their distance (use when k > 1)
KNumber of nearest neighbours (k) used in classification. (Default = 1)default: 1
WMaximum number of training instances maintained. Training instances are dropped FIFO. (Default = no window)default: 0
XSelect 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)
batch-sizeThe desired batch size for batch prediction (default 100).
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the console

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