It depends of your dataset, and the analysis type. For example if you haven't outliers and high dispersed data a good selection may be replace the missing using the mean. if you have outliers a recomendation is to use the median.
another options could be use like replace with mode. In any case, one of the most powerful things about Rapidminer is that you can test the impact of multiple data preprocessing decisions in your models very quickly. 测试你的决定讯息测试dataset and meassure the results.
Answers
you need to use the "Replace Missing Values" for that.
Best,
Cesar
测试你的决定讯息测试dataset and meassure the results.
Best,
Cesar