User:Lasachiras/sandbox

Just checking whether I can add links here to, for example, Tree?

How about using templates?

The hierarchy of biological classification's eight major taxonomic ranks. Intermediate minor rankings are not shown.

Terminology and derivations
from a confusion matrix

true positive (TP) eqv. with hit true negative (TN) eqv. with correct rejection false positive (FP) eqv. with false alarm, Type I error false negative (FN) eqv. with miss, Type II error sensitivity or true positive rate (TPR) eqv. with hit rate, recall ${\mathit {TPR}}={\mathit {TP}}/P={\mathit {TP}}/({\mathit {TP}}+{\mathit {FN}})$ specificity (SPC) or True Negative Rate ${\mathit {SPC}}={\mathit {TN}}/N={\mathit {TN}}/({\mathit {FP}}+{\mathit {TN}})$ precision or positive predictive value (PPV) ${\mathit {PPV}}={\mathit {TP}}/({\mathit {TP}}+{\mathit {FP}})$ negative predictive value (NPV) ${\mathit {NPV}}={\mathit {TN}}/({\mathit {TN}}+{\mathit {FN}})$ fall-out or false positive rate (FPR) ${\mathit {FPR}}={\mathit {FP}}/N={\mathit {FP}}/({\mathit {FP}}+{\mathit {TN}})$ false discovery rate (FDR) ${\mathit {FDR}}={\mathit {FP}}/({\mathit {FP}}+{\mathit {TP}})=1-{\mathit {PPV}}$ Miss Rate or False Negative Rate (FNR) ${\mathit {FNR}}={\mathit {FN}}/P={\mathit {FN}}/({\mathit {FN}}+{\mathit {TP}})$ accuracy (ACC) ${\mathit {ACC}}=({\mathit {TP}}+{\mathit {TN}})/(P+N)$ F1 score is the harmonic mean of precision and sensitivity ${\mathit {F1}}=2{\mathit {TP}}/(2{\mathit {TP}}+{\mathit {FP}}+{\mathit {FN}})$ Matthews correlation coefficient (MCC) ${\frac {TP\times TN-FP\times FN}{\sqrt {(TP+FP)(TP+FN)(TN+FP)(TN+FN)}}}$ Informedness = Sensitivity + Specificity - 1 Markedness = Precision + NPV - 1