Description Usage Arguments References See Also Examples
The F score is given by
F = ((1 + β^2) \cdot TP) / ((1 + β^2) \cdot TP + β^2 \cdot FP + FN)
where TP denotes true positives, TN denotes true negatives, FP denotes false positives, FN denotes false negatives, and β is a weighting parameter. In our implementation β has a default value of 1, meaning our F score defaults to the F1 score (hence the function name).
1 |
tp |
True positives |
tn |
True negatives |
fp |
False positives |
fn |
False negatives |
beta |
The weighting parameter, defaults to 1 |
Soerensen1948zostmod \insertRefTversky1977zostmod
Other classification scores: auc
,
bcr
, brier
,
dor
, dp
, err
,
et
, fai
, fm
,
gain
, gl
, gm
,
ignr
, jacc
,
kappa
, lr
, mcc
,
op
, rand
, rt
,
rus
, sm
, ss
,
tss
1 | f1(tp = 45, fp = 15, fn = 25, tn = 15)
|
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