Course Content
Recognizing Handwritten Digits
Train Test Split
In Python, the train_test_split
function, part of the sklearn.model_selection
module, is frequently utilized for dividing a dataset into two parts: a training subset and a testing subset.
This train_test_split()
function performs a random partitioning of the dataset into these subsets, determined by a predefined test size or train size.
Task
- Split the dataset into training and test sets. Use only the first 1000 samples for splitting.
- Print the shapes and sizes of the resulting training and test sets for both the feature matrix and the target vector.
Task
- Split the dataset into training and test sets. Use only the first 1000 samples for splitting.
- Print the shapes and sizes of the resulting training and test sets for both the feature matrix and the target vector.
Everything was clear?
In Python, the train_test_split
function, part of the sklearn.model_selection
module, is frequently utilized for dividing a dataset into two parts: a training subset and a testing subset.
This train_test_split()
function performs a random partitioning of the dataset into these subsets, determined by a predefined test size or train size.
Task
- Split the dataset into training and test sets. Use only the first 1000 samples for splitting.
- Print the shapes and sizes of the resulting training and test sets for both the feature matrix and the target vector.