DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #21
If you are trying to predict or forecast a discrete target value, then which is the correct options
The correct answer is B. Supervised Learning classification algorithms. If you're trying to predict or forecast a target value, then you need to look into supervised learning. If not, then unsupervised learning is the place you want to be. If you've chosen supervised learning, what's your target value? Is it a discrete value like Yes/No: 1/2/3…
Question
If you are trying to predict or forecast a discrete target value, then which is the correct options
Options
- ASupervised Learning regression algorithms
- BSupervised Learning classification algorithms
- CUn supervised Learning
- DDensity estimation algorithm
How the community answered
(21 responses)- A10% (2)
- B71% (15)
- C5% (1)
- D14% (3)
Explanation
If you're trying to predict or forecast a target value, then you need to look into supervised learning. If not, then unsupervised learning is the place you want to be. If you've chosen supervised learning, what's your target value? Is it a discrete value like Yes/No: 1/2/3, A/B/C: or Red/Yellow/Black? If so: then you want to look into classification. If the target value can take on a number of values, say any value from 0.00 to 100.00: or-999 to 999, or +to -, then you need to look into regression.
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