Description Usage Arguments Value Author(s) See Also Examples

this function calculates prediction performance statistics between vectors of predicted and observed values.

1 | ```
classificationStats(prd, obs, prob = NULL)
``` |

`prd` |
factor vector of predicted values with two levels |

`obs` |
factor vector of observed values with two levels |

`prob` |
optional. Predicted probabilities for the first class |

data frame containing the classification statistics.

Hanna Meyer

1 2 3 4 5 6 7 | ```
#create two random vectors with classes "yes" and "no" to simulate a model
#with random performance. Expected POD and PFD =50%
pred_vals <- factor(sample(c("Yes","No"), 50, replace = TRUE),levels=c("Yes","No"))
obs_vals <- factor(sample(c("Yes","No"), 50, replace = TRUE),levels=c("Yes","No"))
result <- classificationStats(pred_vals, obs_vals)
result
``` |

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