confusion | R Documentation |

Calculate confusion matrices of predicted and observed responses.

confusion( x, y = NULL, weights = NULL, cutoff = MachineShop::settings("cutoff"), na.rm = TRUE, ... ) ConfusionMatrix(data = NA, ordered = FALSE)

`x` |
factor of observed responses or resample result containing observed and predicted responses. |

`y` |
predicted responses if not contained in |

`weights` |
numeric vector of non-negative
case weights for the observed |

`cutoff` |
numeric (0, 1) threshold above which binary factor
probabilities are classified as events and below which survival
probabilities are classified. If |

`na.rm` |
logical indicating whether to remove observed or predicted
responses that are |

`...` |
arguments passed to other methods. |

`data` |
square matrix, or object that can be converted to one, of cross-classified predicted and observed values in the rows and columns, respectively. |

`ordered` |
logical indicating whether the confusion matrix row and columns should be regarded as ordered. |

The return value is a `ConfusionMatrix`

class object that inherits from
`table`

if `x`

and `y`

responses are specified or a
`ConfusionList`

object that inherits from `list`

if `x`

is a
`Resample`

object.

`c`

, `plot`

, `summary`

## Requires prior installation of suggested package gbm to run res <- resample(Species ~ ., data = iris, model = GBMModel) (conf <- confusion(res)) plot(conf)

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