Write a Python code to create and train a Support Vector Machine $($SVM$)$ model using the provided dataset for spam detection.

Follow these steps:Split the dataset into training $(70\%)$ and testing $(30\%)$ datasets. Train the SVM model using the training dataset and calculate its accuracy on the testing dataset.Split the dataset into training $(90\%)$ and testing $(10\%)$ datasets. Train the SVM model using the training dataset and calculate its accuracy on the testing dataset.Compare the results obtained from both cases.