View source: R/score_halfnormal.R

score_halfnormal | R Documentation |

Score is approximately:
` \sum{\#[res_i \leq simres_{i,j}] - n } `

with the distinction that each element of sum is also scaled to take values from [0,1].

`res_i`

is a residual for i-th observation, `simres_{i,j}`

is the residual of j-th simulation
for i-th observation, and `n`

is the number of simulations for each observation.
Scores are calculated on the basis of simulated data, so they may differ between function calls.

```
score_halfnormal(object, ...)
scoreHalfNormal(object, ...)
```

`object` |
An object of class |

`...` |
... |

An object of class `auditor_score`

.

```
dragons <- DALEX::dragons[1:100, ]
# fit a model
model_lm <- lm(life_length ~ ., data = dragons)
# create an explainer
lm_audit <- audit(model_lm, data = dragons, y = dragons$life_length)
# calculate score
score_halfnormal(lm_audit)
```

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