Question: # Splitting the Dataset into Training and Testing Setsset.seed ( 1 2 3 ) trainIndex < - createDataPartition ( HAR _ walk _ FE$Type, p

# Splitting the Dataset into Training and Testing Setsset.seed(123)trainIndex <- createDataPartition(HAR_walk_FE$Type, p =0.8, list = FALSE)trainData <- HAR_walk_FE[trainIndex,]testData <- HAR_walk_FE[-trainIndex, ]
For the r code , what the difference if use p =0.7, or p =0.75?

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