Description Usage Arguments Value
Predict using an ensemble classifier created from this package
1 | unbinned_testing(train_data, test_data, model_list, true_classes)
|
train_data |
Data to |
test_data |
Data to predict with the ensemble |
model_list |
List of RWeka models fit to train_data |
weight_type |
vector containing bin weight types from "bin weighted","bin dictator" |
comb_rule |
vector containing combination rules from "majority vote","average posterior" |
bin_type |
vector containing bin types from "standard","quantile","iterative quantile" |
bin_features |
vector containing names of columns to bin |
nbins |
vector containing number of bins in each dimension for bin_features (will use all combinations of these values) |
test accuracy rates for all weighting/voting/binning specifications requested
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