Page 105 - AIH-2-1

Artificial Intelligence in Health EBNA1 inhibitors against EBV in NPC

A B C

D E F

Figure 3. Confusion matrix for the test set results of (A) CFS-LR-BF, (B) CFS-LR-GF, (C) CSE-J48-BF-LR, (D) CFS-NB-BF, (E) CFS-NB-GS, and (F)
CSE-J48-BF-IBK
Abbreviations: BF: Best first; CFS: CfsSubsetEval; CSE: ClassifierSubsetEval; GS: Greedy stepwise; IBK: Instance-based learner; J48: J48 Decision Tree; LR:
Logistic regression; NB: Naïve Bayes.

A B C

D E F

Figure 4. Graphical representation for the training set result for (A) CSE-LRE-BF-SMO, (B) CSE-LRE-GS-SMO, (C) CSE-SMO-BF-LRE, (D) CSE-SMO-
GS-LRE, (E) CSE-SMO-BF-SMO, and (F) CSE-SMO-GS-SMO
Abbreviations: BF: Best first; CSE: ClassifierSubsetEval; GS: Greedy stepwise; LRE: Linear regression; SMO: Sequential minimal optimization.

Table 3. Score for evaluation metric for the test set
CSE‑LRE‑BF‑SMO CSE‑LRE‑GS‑SMO CSE‑SMO‑BF‑LRE CSE‑SMO‑GS‑LRE CSE‑SMO‑BF‑SMO CSE‑SMO‑GS‑SMO
R 0.703 0.705 0.703 0.703 0.703 0.703
MAE 0.173 0.172 0.173 0.173 0.173 0.173
RMSE 0.217 0.217 0.217 0.217 0.217 0.217
RAE 0.688 0.686 0.689 0.689 0.689 0.689
Abbreviations: BF: Best first; CSE: ClassifierSubsetEval; GS: Greedy stepwise; LRE: Linear regression; MAE: Mean absolute error; R: Correlation
coefficient; RAE: Relative absolute error; RMSE: Root mean squared error; SMO: Sequential minimal optimization.

Volume 2 Issue 1 (2025) 99 doi: 10.36922/aih.4375