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.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
- 2.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
- 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
- 4.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) typing a new spoken word (d) 500 labelled leaf photos
- 5.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
- 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
- 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
- 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
- 9.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) past weather records (d) naming a new leaf
- 10.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
- 11.🧪 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
- 12.True or false: “recorded spoken words” is training data. (a) True (b) False
- 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
- 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
- 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
- 16.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
- 17.True or false: “labelled fruit photos” is training data. (a) False (b) True
- 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
- 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
- 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
- 21.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
- 22.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
- 23.True or false: “recorded spoken words” is a prediction. (a) True (b) False
- 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
- 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
- 26.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) what training builds (d) 500 labelled leaf photos
- 27.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
- 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.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
- 30.True or false: “what training builds” is a prediction. (a) True (b) False
- 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
- 32.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
- 33.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
- 34.True or false: “the trained program” is training data. (a) False (b) True
- 35.True or false: “old emails marked spam” is training data. (a) True (b) False
- 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 37.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) typing a new spoken word
- 38.Which of these is training data? (a) past weather records (b) the trained program (c) the learned patterns (d) flagging a new email
- 39.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
- 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
Answer key
- data, model, prediction
- the learned patterns
- training data
- the learned patterns
- what training builds
- a prediction
- training data
- training data
- naming a new leaf
- naming a new fruit photo
- to see if it works
- True
- a prediction
- a prediction
- a prediction
- past weather records
- True
- training data
- a prediction
- a prediction
- the learned patterns
- 500 labelled leaf photos
- False
- the model
- the model
- what training builds
- the learned patterns
- the learned patterns
- it learns patterns
- False
- False
- the trained program
- True
- False
- True
- what training builds
- recorded spoken words
- past weather records
- old emails marked spam
- the learned patterns
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