Journal of Big Data

Table 10 Average RMSEs of the MVI methods for the numerical datasets

From: Adaptive multiple imputations of missing values using the class center

Dataset	RMSE
Dataset	Mean	SVM	KNN	RF	CCMVI	AMICC
Blood	0.515	0.511	0.495	0.502	0.484	0.488
Ecoli	2.231	2.220	1.925	1.855	1.809	1.740
Glass	1.623	1.655	1.524	1.426	1.334	1.126
Ionosphere	0.304	0.304	0.277	0.294	0.261	0.294
Iris	0.338	0.336	0.246	0.243	0.221	0.303
Liver cancer	0.648	0.646	0.642	0.642	0.642	0.648
Optdigits	2.453	2.524	2.591	2.673	2.891	0.705
Pima	0.593	0.592	0.589	0.591	0.588	0.454
Sonar	0.678	0.678	0.659	0.664	0.645	0.353
Wine	0.451	0.464	0.400	0.404	0.364	0.135
Yeast	2.280	2.283	2.212	2.217	2.185	1.961
Column 2C	0.568	0.569	0.567	0.569	0.567	0.386
Column 3C	1.218	1.220	1.216	1.215	1.215	0.716
Average	1.069 (5)	1.077 (6)	1.026 (4)	1.023 (3)	1.016 (2)

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