Engineering BE Computer Engineering Sem 7 May 2024 2024 MACHINE LEARNING Question Paper - Mumbai University | munotes
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Questions asked in this paper
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Q1 Attempt any FOUR from the following Explain how to choose the right algorithm for machine learning application Explain Linear Discriminant Analysis Explain any five performance measures along with example between Logistic regression and Support vector machine Explain the following Receiver operating characteristics curve and Area under curve 20 marks
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Q2 Explain clustering with minimal spanning tree with reference to Graph based clustering. Explain the terms overfitting, underfitting, bias & variance tradeoff w.r.t. Machine Learning 10 marks
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Q3 Explain the concept of regression and enlist its types. A clinical trial gave the data for BMI and Cholesterol level for 10 Patients as shown in table below. Identify the machine learning method used to solve the above problem and predict the likely value of Cholesterol level for someone who has BMI of 27 B Explain the necessity of cross validation in Machine learning applications and K-fold cross [10] validation in detail 10 marks
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Q4 Explain support vector machine as a constrained optimization problem. Explain the concept of decision tree. Consider the dataset given in a table below. The dataset [10] has 3 features as Past Trend, Open interest, Trading volume and one class label as Return Compute the Gini Index for all features and specify which node will be chosen as a root node in decision tree 10 marks
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Q5 Explain kernel Trick in support vector machine. Explain different ways to combine classifiers. [10] 10 marks
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Q6 Write any TWO from the following Explain multiclass classification techniques Explain in detail Principal Component Analysis for Dimensionality reduction C DBSCAN algorithm along with example 20 marks
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