Subjects
Choose questions individually, practise online, or create a worksheet with matching answers. Counts include generated variants, not only authored originals.
The target output for an example
Labels specify what the model is trained to predict.
Tomorrow's final sales total
The final target would not be known at prediction time.
190
Subtract removed records from total records.
The transformation and resulting units
Units and transformations affect interpretation and reproducibility.
The model may exploit person-specific information shared across splits. Evaluation can become easier than generalizing to new people.
Credit linked records and a split matched to deployment.
0.25
20/80=0.25.
An example is one unit of observation. Features are inputs available at prediction time; a label is the target used for supervised learning.
Grades 9–12An example is one unit of observation. Features are inputs available at prediction time; a label is the target used for supervised learning.
Grades 9–12Understand learning tasks, datasets, honest evaluation, privacy and human responsibility. No paid AI tool is required.
Work through regression, gradients, classification and generalization using paper-based examples.
Compare trees, clustering, PCA and validation without confusing training performance with evidence of generalization.
Build from artificial neurons and backpropagation to attention and embedding geometry.
Practise clear prompting, retrieval-grounded workflows, evidence checking and permission-aware deployment.