Scientific Reports

Table 10 Non-parametric tests results.

From: A machine learning approach for thermodynamic modeling of the statically measured solubility of nilotinib hydrochloride monohydrate (anti-cancer drug) in supercritical CO₂

Test (RF)	Adj t-stat	Test critical value			Prob	R²	Adj R²
Test (RF)	Adj t-stat	1% level	5% level	10% level	Prob	R²	Adj R²
ADF	− 8.590281	− 3.498439	− 2.891234	− 2.582678	0	0.9351	0.9293
Philips–Perron	− 45.54484	− 3.493747	− 2.8892	− 2.581596	0.0001	0.8147	0.813

Test (DTs)	Adj t-stat	Test critical value			Prob	R²	Adj R²
Test (DTs)	Adj t-stat	1% level	5% level	10% level	Prob	R²	Adj R²
ADF	− 8.702216	− 3.498439	− 2.891234	− 2.582678	0	0.9379	0.9323
Philips–Perron	− 47.32203	− 3.493747	− 2.8892	− 2.581596	0.0001	0.8165	0.8148

Test (MLP)	Adj t-stat	Test critical value			Prob	R²	Adj R²
Test (MLP)	Adj t-stat	1% level	5% level	10% level	Prob	R²	Adj R²
ADF	− 8.588913	− 3.498439	− 2.891234	− 2.582678	0	0.937	0.9314
Philips–Perron	− 49.37702	− 3.493747	− 2.8892	− 2.581596	0.0001	0.8215	0.8198

Test (DNN)	Adj t-stat	Test critical value			Prob	R²	Adj R²
Test (DNN)	Adj t-stat	1% level	5% level	10% level	Prob	R²	Adj R²
ADF	− 8.539113	− 3.498439	− 2.891234	− 2.582678	0	0.9336	0.9277
Philips–Perron	− 45.26102	− 3.493747	− 2.8892	− 2.581596	0.0001	0.8163	0.8145

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