An Intelligent Deep Learning Model for Adsorption Prediction

Table 8

Confusion matrix for the accuracy, specificity, and sensitivity for the compared adsorption prediction models for three adsorption states (high, moderate, and low) for temperature 25°C and pressure of 1 bar.

Model	Precision	Precision	Recall	-measure	ROC	Category
Model 1 [36]	0.812	0.812	0.741	0.811	0.831	High adsorption
	0.732	0.732	0.763	0.733	0.733	Moderate adsorption
	0.712	0.712	0.741	0.711	0.791	Low adsorption
Model 2 [37]	0.812	0.812	0.741	0.811	0.831	High adsorption
	0.732	0.732	0.763	0.733	0.733	Moderate adsorption
	0.712	0.712	0.741	0.711	0.791	Low adsorption
Model 3 [31]	0.812	0.812	0.841	0.811	0.871	High adsorption
	0.732	0.732	0.763	0.733	0.733	Moderate adsorption
	0.612	0.612	0.641	0.611	0.671	Low adsorption
Our proposed model	0.912	0.912	0.941	0.911	0.971	High adsorption
	0.972	0.972	0.967	0.957	0.987	Moderate adsorption
	0.912	0.912	0.941	0.911	0.991	Low adsorption