Machine Learning Overview (page 6 of 13)

Labels: Values or categories assigned to examples by the model.
Targets: The correct label for a training example. The trained model's predicted labels will hopefully be the same as the actual targets.
Examples: Items, instances, rows, data points, observations used for learning or evaluation.
Features or Dimensions: Set of attributes or properties.