AntonAntonov/ClassifierEnsembles

AntonAntonov`ClassifierEnsembles`

ResamplingEnsembleClassifier

ResamplingEnsembleClassifier [{(_String\|{_String,_? NumberQ }\|{_String,_? NumberQ ,_Integer})..},data_]
	builds an ensemble classifier based on a specification.

Examples

(1)

Basic Examples

(1)

Get training data:

In[1]:=

data=ExampleData[{"MachineLearning","Titanic"},"TrainingData"];data=((Flatten@*List)@@@data)〚All,{1,2,3,-1}〛;trainingData=DeleteCases[data,{___,_Missing,___}];

Get testing data:

In[2]:=

data=ExampleData[{"MachineLearning","Titanic"},"TestData"];data=((Flatten@*List)@@@data)〚All,{1,2,3,-1}〛;testData=DeleteCases[data,{___,_Missing,___}];

Make nine classifiers using three different methods:

In[3]:=

aCLs=

ResamplingEnsembleClassifier

[{{"NearestNeighbors",0.9,3},{"RandomForest",0.8,3},{"SupportVectorMachine",0.9,3}},Thread[trainingData〚All,1;;-2〛trainingData〚All,-1〛]];aCLs//Length

Out[3]=

Display the elements of the ensemble classifier:

In[4]:=

ResourceFunction["GridTableForm"][List@@@Normal[aCLs],TableHeadings{"Classifier name","Classifier"}]

Out[4]=

Classifier name

Classifier

NearestNeighbors[1,0.9]

ClassifierFunction