InstSpace: Trains an SVM on instance space coordinates and draws the...
In sevvandi/outselect: Algorithm selection for unsupervised outlier detection

Trains an SVM on instance space coordinates and draws the instance space.

1	InstSpace(d = 1, vis = FALSE)

`d`	If `d=1` then we take the Min_Max performance values, if `d=2` then performance values from all normalization methods are considered. Input values for `d` are only `1,2`.
`vis`	If `TRUE` then the instance space is plotted.

A list with the following components:

preds10: The predictions as 1 or 0 for each instance and each algorithm.
predprobs: The prediction probabilities for each each instance and each algorithm.
algorithms: The algorithm best suited for each instance. For some instances, no algorithms work well.
d: Which instance space is cross validated. If d=1, then it is MIN_MAX normalization instance space, if d=2 then all normalization methods are used.
coordinates: The instance space coordinates.