Prediction of flight departure delays caused by weather conditions adopting data-driven approaches

Journal of Big Data

Table 17 Ablation study on linear interpolation in the ICN dataset with a time difference of 2 h

Algorithm		With linear interpolation				Without linear interpolation
Algorithm		Accuracy	Precision	Recall	F1-score	Accuracy	Precision	Recall	F1-score
DT	Normal	0.688	0.704	0.676	0.690	0.680	0.695	0.672	0.683
DT	Delayed	0.688	0.671	0.700	0.685	0.680	0.665	0.688	0.677
RF	Normal	0.749	0.729	0.814	0.769	0.740	0.724	0.800	0.760
RF	Delayed	0.749	0.776	0.680	0.725	0.740	0.762	0.678	0.718
SVM	Normal	0.651	0.631	0.774	0.695	0.600	0.597	0.684	0.638
SVM	Delayed	0.651	0.686	0.522	0.593	0.600	0.605	0.511	0.554
KNN	Normal	0.641	0.655	0.637	0.646	0.635	0.643	0.653	0.648
KNN	Delayed	0.641	0.628	0.646	0.637	0.635	0.627	0.616	0.622
LR	Normal	0.595	0.600	0.635	0.617	0.545	0.553	0.590	0.571
LR	Delayed	0.595	0.589	0.552	0.570	0.545	0.534	0.496	0.514
XGB	Normal	0.721	0.715	0.759	0.736	0.688	0.681	0.737	0.708
XGB	Delayed	0.721	0.728	0.680	0.703	0.688	0.696	0.635	0.664