General Tech QA/Testing 2 years ago
Posted on 16 Aug 2022, this text provides information on QA/Testing related to General Tech. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.
There are numerous approaches to achieve data partitioning. For a more complete approach take a look at the createDataPartition function in the caret package.
Here is a simple example:
data(mtcars)
## 75% of the sample size
smp_size <- floor(0.75 * nrow(mtcars))
## set the seed to make your partition reproducible
set.seed(123)
train_ind <- sample(seq_len(nrow(mtcars)), size = smp_size)
train <- mtcars[train_ind, ]
test <- mtcars[-train_ind, ]No matter what stage you're at in your education or career, TuteeHub will help you reach the next level that you're aiming for. Simply,Choose a subject/topic and get started in self-paced practice sessions to improve your knowledge and scores.
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manpreet![Tuteehub forum best answer]()
Best Answer
2 years ago
I've just started using R and I'm not sure how to incorporate my dataset with the following ref="https://forum.tuteehub.com/tag/sample">sample code:
I have a dataset that I need to put into a training (75%) and testing (25%) set. I'm not sure what information I'm supposed to put into the x and size? Is x the dataset file, and size how many ref="https://forum.tuteehub.com/tag/sample">samples I have?