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Table 3 MVIAeval can provide the performance comparison results in many scenarios

From: MVIAeval: a web tool for comprehensively evaluating the performance of a new missing value imputation algorithm

Performance

Index

Benchmark datasets

Ranking of USER using ORS

Ranking of USER using ONS

 1/NRMSE

Five Time Series [37–41]

5

6

Five Non-time Series [27–31]

6

6

 CPP

Five Time Series [37–41]

7

9

Five Non-time Series [27–31]

11

8

 BLCI

Five Time Series [37–41]

3

4

Five Non-time Series [27–31]

7

7

 1/NRMSE + CPP + BLCI

Five Time Series [37–41]

6

7

Five Non-time Series [27–31]

6

6

  1. The performance comparison results of the user’s algorithm (denoted as USER) and various existing algorithms using different types of datasets (time series or non-time series), different performance indices (1/NRMSE, CPP or BLCI), and different overall performance scores (overall ranking score (ORS) or overall normalized score (ONS)) are shown. More details could be seen at http://cosbi.ee.ncku.edu.tw/MVIAeval/A_Case_Study