AI Worksheet: Training Data, Model, Prediction
AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.
NameDateTime takenScore ___ / 40
- 1.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
- 2.Which of these is the model? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) naming a new leaf
- 3.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
- 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
- 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
- 7.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
- 8.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) flagging a new email
- 9.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
- 10.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
- 11.True or false: “past weather records” is the model. (a) True (b) False
- 12.True or false: “the learned patterns” is the model. (a) True (b) False
- 13.True or false: “labelled fruit photos” is training data. (a) False (b) True
- 14.True or false: “typing a new spoken word” is the model. (a) True (b) False
- 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
- 16.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
- 17.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) naming a new fruit photo
- 18.True or false: “naming a new leaf” is a prediction. (a) False (b) True
- 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
- 20.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
- 21.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
- 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
- 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
- 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
- 25.True or false: “what training builds” is the model. (a) True (b) False
- 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
- 27.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) typing a new spoken word (d) the trained program
- 28.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
- 29.True or false: “what training builds” is training data. (a) False (b) True
- 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
- 31.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
- 32.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
- 33.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
- 34.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
- 35.True or false: “old emails marked spam” is training data. (a) True (b) False
- 36.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new leaf (d) past weather records
- 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
- 38.Which of these is training data? (a) flagging a new email (b) past weather records (c) naming a new leaf (d) what training builds
- 39.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
- 40.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
Answer key
- recorded spoken words
- what training builds
- data, model, prediction
- the model
- training data
- to see if it works
- the model
- flagging a new email
- False
- it learns patterns
- False
- True
- True
- False
- training data
- False
- labelled fruit photos
- True
- the model
- 500 labelled leaf photos
- old emails marked spam
- the learned patterns
- training data
- a prediction
- True
- a prediction
- the trained program
- the learned patterns
- False
- what training builds
- tomorrow’s rain guess
- what training builds
- True
- True
- True
- naming a new leaf
- the trained program
- past weather records
- what training builds
- past weather records
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students