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WorksheetsML Course Activity-II
Total questions: 10
Worksheet time: 10mins
_______ is basically a type of unsupervised learning method.
Un-supervised Learning
Clustering
Supervised Learning
All
_____ in which we will fit the data on the probability that how it may belong to the same distribution
Centroid-based methods
Connectivity-based methods
Distribution-based model
All
__________clusters formed in this method form a tree-type structure based on the hierarchy.
Density-Based
Image-Based
Grid-based
Hierarchical Based
__________consider the clusters as the dense region having some similarities and differences from the lower dense region of the space.
Density-Based
Hierarchical Based
Grid-based
None of these
Choose from the following that is Decision Tree nodes.
Decision Nodes
End Nodes
Chance Nodes
All of the mentioned
What is Decision Tree?
Flow-Chart & Structure in which the internal node represents a test on an attribute, each branch represents the outcome of the test and each leaf node represents the class label
Structure in which the internal node represents a test on an attribute, each branch represents the outcome of the test and each leaf node represents a class label
Flow-Chart
All the above
Decision makers who are concerned with tactical (short-term) operational problems and decision making is
Executive managers
Mobile managers
Middle managers
Supervisors
If you use an ensemble of different base models, is it necessary to tune the hyperparameters of all base models to improve the ensemble performance?
Yes
No
Can't say
None
Generally, an ensemble method works better, if the individual base models have ____________
Correlation does not have any impact on ensemble output
Less correlation among predictions
High correlation among predictions
All the above
Which of the following algorithm is not an example of an ensemble method?
Gradient Boosting
Extra Tree Regressor
Random Forest
Decision Tree
