Computer Science · all questions

Machine Learning
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Q221

The selling price of a house depends on many factors. For example, it depends on the number of bedrooms, number of kitchen, number of bathrooms, the year the house was built, and the square footage of the lot. Given these factors, predicting the selling price of the house is an example of . . . . . . . . task.

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Q222

A measure of goodness of fit for the estimated regression equation is the

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Q223

A good clustering method will produce high quality clusters with

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Q224

In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

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Q225

. . . . . . . . performs a PCA with non-linearly separable data sets.

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Q226

True or False: Dropout is computationally expensive technique w.r.t. bagging

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Q227

High entropy means that the partitions in classification are

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Q228

In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

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Q229

. . . . . . . . showed better performance than other approaches, even without a context-based model

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Q230

Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the . . . . . . . . of the feature values.

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Q231

While using . . . . . . . . all labels are turned into sequential numbers.

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Q232

. . . . . . . . is the most drastic one and should be considered only when the dataset is quite large, the number of missing features is high, and any prediction could be risky.

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Q233

The network that involves backward links from output to the input and hidden layers is called

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Q234

Which of the following is true about averaging ensemble?

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Q235

Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms?
1. Max number of samples
2. Max features
3. Bootstrapping of samples
4. Bootstrapping of features

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Q236

Which one of the following is not a major strength of the neural network approach?

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Q237

Given above is a description of a neural network. When does a neural network model become a deep learning model?

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Q238

Which of the following metrics, do we have for finding dissimilarity between two clusters in hierarchical clustering?
1. Single-link
2. Complete-link
3. Average-link

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Q239

which among the following is the most appropriate kernel that can be used with SVM to separate the classes.

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Q240

Having built a decision tree, we are using reduced error pruning to reduce the size of the tree. We select a node to collapse. For this particular node, on the left branch, there are 3 training data points with the following outputs: 5, 7, 9.6 and for the right branch, there are four training data points with the following outputs: 8.7, 9.8, 10.5, 11. What were the original responses for data points along the two branches (left & right respectively) and what is the new response after collapsing the node?

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