Visibility: public Uploaded 08-06-2021 by Tan Zheng Weka_3.9.5 1 runs
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Weka implementation.


-do-not-check-capabilitiesIf set, classifier capabilities are not checked before classifier is built (use with caution).default: ["false"]
CThe epsilon threshold (epsilon-insenstive and Huber loss only, default = 1e-3)default: ["0.001"]
EThe number of epochs to perform (batch learning only, default = 500)default: ["500"]
FSet the loss function to minimize. 0 = hinge loss (SVM), 1 = log loss (logistic regression), 2 = squared loss (regression), 3 = epsilon insensitive loss (regression), 4 = Huber loss (regression). (default = 0)default: ["0"]
LThe learning rate. If normalization is turned off (as it is automatically for streaming data), then the default learning rate will need to be reduced (try 0.0001). (default = 0.01).default: ["0.01"]
MDon't replace missing valuesdefault: ["false"]
NDon't normalize the datadefault: ["false"]
RThe lambda regularization constant (default = 0.0001)default: ["1.0E-4"]
SRandom number seed. (default 1)default: ["1"]
batch-sizeThe desired batch size for batch prediction (default 100).default: []
num-decimal-placesThe number of decimal places for the output of numbers in the model (default 2).default: []
output-debug-infoIf set, classifier is run in debug mode and may output additional info to the consoledefault: ["false"]


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