unbinned_testing: Exhaustively testing ensemble on new dataset

Description Usage Arguments Value

Description

Predict using an ensemble classifier created from this package

Usage

1
unbinned_testing(train_data, test_data, model_list, true_classes)

Arguments

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)

Value

test accuracy rates for all weighting/voting/binning specifications requested


kmaurer/binsemble documentation built on May 7, 2019, 9:50 p.m.