Table 1.

Evaluation of Random Forest Classifier and Random Forest Regressor Models Using Prediction Accuracy Score

wt% PPF	85	85	85	85	85	85	85	85	85	85	85	85	90	90	90	90	avg
Pressure (bar)	2.0	2.0	2.0	2.0	2.5	2.5	2.5	2.5	2.5	3.0	3.0	3.0	2.5	3.0	3.0	4.0
Speed (mm/s)	5.0	7.5	10.0	15.0	5.0	7.5	10.0	15.0	20.0	5.0	7.5	10.0	5.0	5.0	7.5	5.0
RFc (P.A. score)	0.98	0.99	0.82	0.54	0.99	0.99	0.99	0.62	0.68	0.93	0.95	0.97	0.27	0.41	0.77	0.00	0.74
RFc correct prediction	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	×	×	✓	×
RFr (P.A. score)	0.98	0.99	0.82	0.75	1.00	1.00	1.00	0.63	0.74	0.93	0.92	0.97	0.27	0.04	1.0	0.00	0.75
RFr correct prediction	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	✓	×	×	✓	×

The P.A. scores are given across all leave-one-out configurations (PPF composition-pressure-speed) and the average is included. The correct/incorrect predictions are noted (correct if P.A. score is higher than 0.5).

RFc, random forest classifier; RFr, random forest regressor; P.A. score, prediction accuracy score; PPF, poly(propylene fumarate).