Storage class for the description of hyperoverlaps

`entity1`

A length-one character vector

`entity2`

A length-one character vector

`dimensions`

A length n character vector containing the variables used to define the space

`occurrences`

A matrix containing the labelled input data

`shape`

shape of the decision boundary; either "linear" or "curvilinear"

`polynomial.order`

a length-one numeric vector showing the polynomial order of the most accurate kernel function. "0" if linear kernel.

`result`

a length-one character vector, either "overlap" or "non-overlap"

`accuracy`

a 2x2 table with the true (y) and predicted (pred) labels

`number.of.points.misclassified`

a length-one numeric vector

`model`

svm model used to plot decision boundary

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