Page 173 - AI Ver 1.0 Class 10
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8. Unsupervised Learning is divided into the following two categories. Identify the correct one. [2022]
a. Rule-based and Learning-based b. Classification and Clustering
c. Clustering and Dimensionality Reduction d. Classification and Regression
9. The 4 Ws Problem canvas helps in identifying the key elements related to the problem. 4 Ws Problem canvas is a part of:
[2022]
a. Problem Scoping b. Data Acquisition
c. Modelling d. Evaluation
10. The ................................ block of 4 Ws Problem canvas helps in analysing the people getting affected directly or indirectly
due to it. [2022]
a. Who b. What
c. Where d. Why
11. During Data Acquisition feeding previous data into the machine is called: [2022]
a. Training Data b. Predicting Data
c. Testing Data d. Evaluating Data
12. ................................ is one of the types of Supervised Learning Model, where data is classified according to labels and data
need not to be continuous. [2022]
a. Regression b. Classification
c. Clustering d. Dimensionality reduction
13. Evaluation is the process of understanding the reliability of any AI model, based on outputs by feeding test dataset into
the model and comparing with actual answers. Therefore it must be followed by: [2022]
a. Problem Scoping b. Data Acquisition
c. Data Exploration d. Modelling
14. Classification and Regression are ................................ and approach followed is ................................ [2022]
a. Supervised, Learning b. Unsupervised, Learning
c. Reinforcement, Learning d. Supervised, Rule-based
15. ................................ refers to the unsupervised learning algorithm which can cluster the unknown data according to the
patterns or trends identified out of it. [2022]
a. Regression b. Classification
c. Clustering d. Dimensionality Reduction
16. Choose the correct option describing the features of Neural Network. These are systems modelled on Human Brain and
Nervous System: [2022]
i. It is essentially a machine learning algorithm.
ii. It is useful when solving the problems for which the data set is very large.
AI Project Cycle 171

