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ResearchFormerly WizWand

Particle Temperature Prediction on Particle Temperature and Velocity Prediction Dataset

0.86R2Random Forest

Evaluation results

Method	Links
Random Forest2026.06		0.86	0.43	0.67	0.89
TabPFN2026.06		0.86	0.52	0.74	0.9
Gradient Boosting2026.06		0.85	0.43	0.7	0.9
TabPFN2026.06		0.83	0.53	0.75	0.88
XGBoost2026.06		0.82	0.4	0.72	0.88
Random Forest2026.06		0.8	0.42	0.71	0.85
Random Forest2026.06		0.79	0.41	0.63	0.79
TabPFN2026.06		0.78	0.4	0.59	0.81
CNN2026.06		0.78	0.33	0.58	0.79
Gradient Boosting2026.06		0.77	0.36	0.65	0.87
Gradient Boosting2026.06		0.75	0.35	0.54	0.75
XGBoost2026.06		0.75	0.37	0.68	0.87
CNN2026.06		0.73	0.3	0.45	0.68
XGBoost2026.06		0.72	0.29	0.51	0.75
CNN2026.06		0.71	0.32	0.44	0.66
TabPFN2026.06		0.58	0.34	0.54	0.79
Random Forest2026.06		0.51	0.23	0.4	0.63
XGBoost2026.06		0.48	0.21	0.4	0.65
Gradient Boosting2026.06		0.43	0.24	0.44	0.66
SVR2026.06		0.34	0.27	0.43	0.57
SVR2026.06		0.32	0.28	0.44	0.58
SVR2026.06		0.24	0.27	0.42	0.57
SVR2026.06		-0.06	0.21	0.38	0.51