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WorksheetsStudy Jam ML quiz - a
Total questions: 10
Worksheet time: 5mins
Which of the following is not supervised learning?
Clustering
Decision Tree
Linear Regression
None of the above
Which of the following is a disadvantage of decision trees?
Factor analysis
Decision trees are robust to outliers
Decision trees are prone to be overfit
None of the above
What you can say about bias-variance from the below image?
High variance, Low Bias
Low Variance, Low Bias
Low Variance, High Bias
High Variance, High Bias
How can you prevent a clustering algorithm from getting stuck in bad local optima?
Set the same seed value for each run
Use multiple random initializations
Both a and b
None of these
Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?
Decision Tree
Regression
Classification
Random Forest
Which among the below options are types of Feature engineering?
Replacing missing values
Getting mean value from a group of entities
Extracting city from home address
Changing hyper-parameter values
It is not necessary to have a target variable for applying dimensionality reduction algorithms.
True
False
Which of the following algorithms can be used for reducing the dimensionality of data?
t-SNE
PCA
Singular Value Decomposition
All the above
Which of the following statement is true for a t-SNE cost function?
It is asymmetric in nature.
It is symmetric in nature.
It is same as the cost function for SNE.
None of the above
What are the steps for using a gradient descent algorithm?
i. Calculate error between the actual value and the predicted value
ii. Reiterate until you find the best weights of network
iii. Pass an input through the network and get values from output layer
iv. Initialize random weight and bias
v. Go to each neurons which contributes to the error and change its respective values to reduce the error
i, ii, iii, iv, v
v, iv, iii, ii, i
iii, ii, i, v, iv
iv, iii, i, v, ii
