Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. A multicomponent QSPR approach to describe and predict gas-ionic liquid distribution of organic solutes using machine learning. J. Mol. Liq. 2025, 436, 128184.

Compound

	ID:	N222
	Name:	pentane, 1-ethyl-3-methylimidazolium tetracyanoborate
	Description:	pentane [MEIm]+[B(CN)4]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C6H11N2.C5H12.C4BN4/c1-3-8-5-4-7(2)6-8;1-3-5-4-2;6-1-5(2-7,3-8)4-9/h4-6H,3H2,1-2H3;3-5H2,1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
0.891	experimental value
1.036818379874323	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
0.9238954078146699	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)