Table 10.
Confusion matrix for two class classifier (P- positive and N- negative).
| Predicted | ||||
|---|---|---|---|---|
| Non-carcinogens (Negative) |
Carcinogens (Positive) |
Total predicted | ||
| Observed |
Non-carcinogens (Negative) |
TN | FP | Nnegative = TN + FP |
|
Carcinogens (Positive) |
FN | TP | Npositive = FN + TP | |
| Total observed | TN + FN | FP + TP | Ntotal = Nnegative + Npositive | |
*Definitions in Table 6:
TP-True positive;
TN-True negative;
FP-False positive;
FN-False negative.
Nnegative is the number of negative (non-carcinogens) in the dataset;
Npositive is the number of positive compounds (carcinogens) in the dataset;
Ntotal is total number of negative (non-carcinogens) and positive compounds (carcinogens) in the dataset;