. 2017 Nov 9;2017:8734214. doi: 10.1155/2017/8734214

Table 7.

The results of compare forecasting models under 10-folds cross-validation after variable selection.

	Methods	Index	RBF Network	Kstar	Random Forest	IBK	Random Tree
After variable selection	Delete the rows with missing data	CC	0.103^a	0.665^a	0.737^a	0.233	0.529^a
		MAE	0.181^a	0.115^a	0.108^a	0.193^a	0.143^a
		RMSE	0.226^a	0.171^a	0.154^a	0.282^a	0.223^a
		RAE	0.984^a	0.627^a	0.589^a	1.047^a	0.774^a
		RRSE	0.994^a	0.749^a	0.677^a	1.238	0.977^a
	Series mean	CC	0.081^a	0.688^a	0.751^a	0.295^a	0.547
		MAE	0.169^a	0.103^a	0.098^a	0.170^a	0.131
		RMSE	0.217^a	0.158^a	0.144	0.260^a	0.209
		RAE	0.988^a	0.600^a	0.571^a	0.990^a	0.767
		RRSE	0.996^a	0.727^a	0.661	1.193^a	0.960
	Linear	CC	0.081^a	0.692^a	0.750	0.286^a	0.551^a
		MAE	0.171^a	0.102^a	0.098^a	0.169^a	0.128
		RMSE	0.218^a	0.158^a	0.145	0.261^a	0.207^a
		RAE	0.988^a	0.590^a	0.566^a	0.981^a	0.740
		RRSE	0.996^a	0.723^a	0.662	1.196^a	0.948^a
	Median of nearby points	CC	0.083^a	0.692^a	0.752^a	0.305^a	0.555^a
		MAE	0.171^a	0.102^a	0.097 ^ab	0.169^a	0.126^a
		RMSE	0.218^a	0.158^a	0.144^a	0.259^a	0.208^a
		RAE	0.987^a	0.593^a	0.563 ^ab	0.980^a	0.732^a
		RRSE	0.996^a	0.722^a	0.660^a	1.186^a	0.951^a
	Mean of nearby points	CC	0.082^a	0.694^a	0.753 ^b	0.276^a	0.537
		MAE	0.171^a	0.102^a	0.097 ^ab	0.171^a	0.129
		RMSE	0.218^a	0.157^a	0.144 ^ab	0.263^a	0.210
		RAE	0.988^a	0.593^a	0.564^a	0.993^a	0.747
		RRSE	0.996^a	0.721^a	0.659 ^b	1.204^a	0.960
	Regression	CC	0.081^a	0.690^a	0.753 ^b	0.295^a	0.572
		MAE	0.169^a	0.102^a	0.098^a	0.169^a	0.126
		RMSE	0.217^a	0.158^a	0.144 ^ab	0.259^a	0.204
		RAE	0.988^a	0.595^a	0.571^a	0.989^a	0.735
		RRSE	0.996^a	0.725^a	0.659 ^ab	1.193^a	0.938

a denotes after variable selection with enhancing performance; b denotes the best performance among 5 models after variable selection.