Q141
Open questionMultivariate split is where the partitioning of tuples is based on a combination of attributes rather than on a single attribute.
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Computer Science · all questionsMachine Learning
Machine Learning
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Q142
Open questionMLE estimates are often undesirable because
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Q143
Open questionA database has 5 transactions. Of these, 4 transactions include milk and bread. Further, of the given 4 transactions, 2 transactions include cheese. Find the support percentage for the following association rule "if milk and bread are purchased, then cheese is also purchased".
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Q144
Open questionTrue or False: In boosting, individual base learners can be parallel.
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Q145
Open questionWhat is gini index?
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Q146
Open questionCommon deep learning applications include . . . . . . . .
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Q147
Open questionHow does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?
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Q148
Open questionWhat is the precision value for following confusion matrix of binary classification?
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Q149
Open questionClassification problems are distinguished from estimation problems in that
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Q150
Open questionHow will you counter over-fitting in decision tree?
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Q151
Open questionWhat is the final resultant cluster size in Divisive algorithm, which is one of the hierarchical clustering approaches?
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Q152
Open questionThe adjusted multiple coefficient of determination accounts for
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Q153
Open questionWhat is the sequence of the following tasks in a perceptron? Initialize weights of perceptron randomly Go to the next batch of dataset If the prediction does not match the output, change the weights For a sample input, compute an output
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Q154
Open questionWhich of the following selects only a subset of features belonging to a certain percentile
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Q155
Open questionSuppose you are using a Linear SVM classifier with 2 class classification problem. Now you have been given the following data in which some points are circled red that are representing support vectors.If you remove the following any one red points from the data. Does the decision boundary will change?
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Q156
Open questionPCA can be used for projecting and visualizing data in lower dimensions.
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Q157
Open questionWhich of the following is a common use of unsupervised clustering?
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Q158
Open questionWhich of the following is true about SVM?
1. Kernel function map low dimensional data to high dimensional space.
2. It is a similarity Function
1. Kernel function map low dimensional data to high dimensional space.
2. It is a similarity Function
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Q159
Open questionHow the entries in the full joint probability distribution can be calculated?
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Q160
Open questionWhat is the standard approach to supervised learning?
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