accu: A list containing current accuracy information. In riskyr: Rendering Risk Literacy more Transparent

Description

`accu` contains current accuracy information returned by the corresponding generating function `comp_accu`.

Usage

 `1` ```accu ```

Format

An object of class `list` of length 5.

Details

Current metrics include:

1. `acc`: Overall accuracy as the proportion (or probability) of correctly classifying cases or of `dec.cor` cases:

`acc = dec.cor/N = (hi + cr)/(hi + mi + fa + cr)`

Values range from 0 (no correct prediction) to 1 (perfect prediction).

2. `wacc`: Weighted accuracy, as a weighted average of the sensitivity `sens` (aka. hit rate `HR`, `TPR`, `power` or `recall`) and the the specificity `spec` (aka. `TNR`) in which `sens` is multiplied by a weighting parameter `w` (ranging from 0 to 1) and `spec` is multiplied by `w`'s complement `(1 - w)`:

`wacc = (w * sens) + ((1 - w) * spec)`

If `w = .50`, `wacc` becomes balanced accuracy `bacc`.

3. `mcc`: The Matthews correlation coefficient (with values ranging from -1 to +1):

`mcc = ((hi * cr) - (fa * mi)) / sqrt((hi + fa) * (hi + mi) * (cr + fa) * (cr + mi))`

A value of `mcc = 0` implies random performance; `mcc = 1` implies perfect performance.

See Wikipedia: Matthews correlation coefficient for additional information.

4. `f1s`: The harmonic mean of the positive predictive value `PPV` (aka. `precision`) and the sensitivity `sens` (aka. hit rate `HR`, `TPR`, `power` or `recall`):

`f1s = 2 * (PPV * sens) / (PPV + sens)`

See Wikipedia: F1 score for additional information.

Note that some accuracy metrics can be interpreted as probabilities (e.g., `acc`) or correlations (e.g., `mcc`).

The corresponding generating function `comp_accu`; `num` for basic numeric parameters; `freq` for current frequency information; `prob` for current probability information; `txt` for current text settings.

Other lists containing current scenario information: `freq`, `num`, `pal`, `prob`, `txt`

Other metrics: `comp_accu`, `comp_acc`

Examples

 ```1 2``` ```accu <- comp_accu() # => computes current accuracy information and saves results in accu accu # => shows current accuracy information ```

riskyr documentation built on Feb. 19, 2018, 5 p.m.