AntonAntonov/ClassifierEnsembles

AntonAntonov`ClassifierEnsembles`

EnsembleClassifierProbabilities

Gives the averaged probabilities of a classifier ensemble for a record or a list of records.

Examples

(1)

Basic Examples

(1)

Here is an ensemble classifier:

In[1]:=

aCLs="NearestNeighbors"ClassifierFunction

Input type: {Nominal,Numerical,Nominal}

Classes: died,survived

,"RandomForest"ClassifierFunction

Input type: {Nominal,Numerical,Nominal}

Classes: died,survived

,"LogisticRegression"ClassifierFunction

Input type: {Nominal,Numerical,Nominal}

Classes: died,survived

;

Here are record classifications with it:

In[2]:=

records={{"3rd",7.`,"male"},{"1st",58.`,"female"},{"2nd",54.`,"female"}};

EnsembleClassify

[aCLs,records]

Out[2]=

{died,survived,survived}

Here the classifier probabilities are obtained:

In[3]:=

EnsembleClassifierProbabilities

[aCLs,records]

Out[3]=

{died0.741934,survived0.258066,died0.149017,survived0.850983,died0.436734,survived0.563266}

Here the classifier votes are obtained

In[4]:=

EnsembleClassifierVotes

[aCLs,records]

Out[4]=

{died3,survived3,survived2,died1}

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