Description Usage Arguments Details Value Author(s) See Also Examples

Prints information contained in a sequential input selection object.

1 2 |

`x` |
an object of class |

`max.warn` |
a |

`...` |
additional arguments passed to other |

The following information is printed:

Parameter values used in the

`sisal`

callData dimensions

Names of the input variables, if available

Selected inputs,

`L.v`(smallest validation error)Selected inputs,

`L.f`(result within error margin)Whether

`L.f`is a subset of`L.v`(nested model) or notThe removal order and / or rank of the input variables (see

`plotSelected.sisal`

)The stages of search (if any) at which branching reduced validation error compared to a

`hbranches = 1`

solution. Not printed if branching was not used or if it is possible that the search did not proceed through every set of variables on the`hbranches = 1`

path, i.e. if`pruning.keep.best`

was`FALSE`

. One must note that these results, like many others, are subject to randomness. Thus the results may differ between successive runs of`sisal`

.Any warnings produced by the

`sisal`

run (see

)`max.warn`

Invisibly returns

.
`x`

Mikko Korpela

More information can be obtained with `summary.sisal`

.

1 2 3 |

```
sisal (no branching, OLS regression) results
Parameters:
pruning.criterion=round robin, Mtimes=10, kfold=10, hbranches=1, max.width=1,
q=0.165, standardize=TRUE, pruning.keep.best=TRUE, pruning.reverse=FALSE,
use.ridge=FALSE, sp=-1
Data dimensions:
inputs: 10, samples: 200
Input names are present:
[1] "X1" "X2" "X3" "X4" "X5" "X6" "X7" "X8" "X9" "X10"
Selected inputs (4), model with smallest validation error (L.v):
X1 X2 X3 X4
1 2 3 4
Selected inputs (3), least complex model with error inside threshold (L.f):
X1 X2 X3
1 2 3
L.f is a subset of L.v
Removal order of input variables (ends with remaining input):
X10 X6 X7 X5 X8 X9 X4 X1 X2 X3
10 6 7 5 8 9 4 1 2 3
Ranking based on the removal order:
X1 X2 X3 X4 X5 X6 X7 X8 X9 X10
3 2 1 4 7 9 8 6 5 10
```

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