# Table 4 Model quality parameters shown in the Flame GUI

Endpoint type Parameter Definition
Qualitative Sensitivity (fitting and prediction) $$\frac{TP}{{TP + FN}}$$
Specificity (fitting and prediction) $$\frac{TN}{{TN + FP}}$$
MCC (fitting and prediction) $$\frac{{\left( {TP*TN} \right) - \left( {FP*FN} \right)}}{{\sqrt {\left( {TP + FP} \right)\left( {TP + FN} \right)\left( {TN + FP} \right)\left( {TN + FN} \right)} }}$$
Quantitative SDEC (fitting) $$\sqrt {\frac{{\sum \left( {Y_{exp} - Y_{pred} } \right)^{2} }}{n}}$$
SDEP (prediction) $$\sqrt {\frac{{\sum \left( {Y_{exp} - Y_{pred} } \right)^{2} }}{n}}$$
r2 (fitting) $$\frac{{\sum \left( {Y_{exp} - Y_{pred} } \right)^{2} }}{{\sum \sqrt {\left( {Y_{mean} - Y_{pred} } \right)} }}$$
q2 (prediction) $$\frac{{\sum \left( {Y_{exp} - Y_{pred} } \right)^{2} }}{{\sum \sqrt {\left( {Y_{mean} - Y_{pred} } \right)} }}$$
Conformal models Conformal coverage $$\frac{Samples\;inside\;confidence\;boundaries}{{Total\;number\;of\;samples}}$$
Conformal accuracy $$\frac{Samples\;predicted\;correctly}{{Total\;number\;of\;samples}}$$
Mean interval (only quantitative) $$\frac{{\sum \left| {Y_{max} - Y_{min} } \right|}}{n}$$