d.a.randomForest.start: Random Forest - Wrapper function
In Vitlik/DA2-17: Image Recognition

Description Usage Arguments Value Author(s) Examples

To get (back) to the overview of all steps and functions use this link: a.a.main

This is a wrapper function for a random forest classifier.

It executes these functions:

d.b.step1
d.c.step2
d.d.evaluation
d.e.plotImportanceColorHist

1 2	d.a.randomForest.start(block, feature1, saveFile, classLabel, numTrees, feature2 = NULL, mtry = NULL, nodesize = NULL, cutoff = NULL)

`block`	A string that holds a path to a cross-validation block file
`feature1`	A string that holds a path to a feature data file (hog or colorHist)
`saveFile`	A string that holds a path to which the result should be stored as .rda file.
`classLabel`	A string that holds a path to a file with classification labels for the feature data
`numTrees`	A number that defines the number of trees randomForest should use (see package randomForest)
`feature2`	A string that holds a path to a second feature data file (the type that was not used in `feature1`).This parameter is optional
`mtry`	A number that defines the number of variables randomly sampled as candidates at each split of randomForest (see package randomForest). This parameter is optional
`nodesize`	A number that defines the minimum size of terminal nodes for randomForest (see package randomForest). This parameter is optional
`cutoff`	A vector of length equal to number of classes that defines the ratio of proportion of votes to cutoff (see package randomForest). This parameter is optional

A table that holds the pairs of correct and not correct predicted images, the number of correct predicted images and the accuracy percentage

Vitali Friesen, Colin Juers, Tassilo Tobollik

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\code{result <- d.a.randomForest.start("data/blocks2677IMG.rda", "data/hog_original_8_9_complete.rda",
"data/colorHistRGBNorm_original_255buckets_hog_original_8_9_nodes7_rf100_result.rda", "data/classesOrig.rda",
100, feature2 = "data/colorHistOriginalRGBNorm255Buckets.rda",nodesize = 7)}