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Case Base
MiningMart
Case
TemplateCase
Chain
MissingValueHandling

Step: ReplaceMissingValuesByPrediction

Name ReplaceMissingValuesByPrediction
Belongs to Case TemplateCase
Uses Operator MissingValuesWithRegressionSVM
Belongs to Chain MissingValueHandling
Concepts of resulting Data Model Client
CreditFraud
InhabitantsData
InputAssociationRules
PersonalData
Product
WeatherData
WhoBoughtWhat
Has Parameters C0
Epsilon0
KernelType0
LossFunctionNeg0
LossFunctionPos0
SampleSize0
TheInputConcept
TheOutputAttribute0
ThePredictingAttributes0
ThePredictingAttributes1
TheTargetAttribute0

M4 Documentation:

This step applies a learning algorithm to predict the values that are missing in the given target attribute. The learning algorithm is trained on data where the values in question are present, then the learned function is used to fill in the missing entries. The combination of training, deployment, and merging of predicted and previously present values, is a very convenient option that MiningMart offers here.