abs-sayem / deep_learning

Design Deep Learning Models

Deep Learning

Spliting Dataset

• Suppose we have a dataset where we seperate features and target. We will split this dataset into train and test set.

from sklearn.model_selection import train_test_split

# Split the dataset into training and testing sets (test size = 20%)
x_train, x_test, y_train, y_test = train_test_split(features, target, test_size=0.2, random_state=42)

• test_size: portion of total dataset that will use for validation while training
• random_state:
  • specifying random state ensures that the random split is the same for every time.
  • 42 is a random value, it can be any value.
  • if not specified, the split will be different for every time.

Something Else

Something Else