Machine Learning Basics

Q.Which helps SVM to implement the algorithm in high dimensional space?

  • regression
  • Logistic
  • kernel

Q.Does Logistic regression check for the linear relationship between dependent and independent variables ?

  • True
  • False

Q.Perceptron is _______________

  • a single layer feed-forward neural network
  • an auto-associative neural network

Q.While running the same algorithm multiple times, which algorithm produces same results?

  • Classification Clustering
  • K Means clustering
  • Hierarchical clustering

Q.The main problem with using single regression line

  • CurvilinearLine
  • presence of 1 or more outliers
  • Response variable is not appropriate

Q.The standard approach to supervised learning is to split the set of example into the training set and the test

  • False
  • True

Q.Which technique implicitly defines the class of possible patterns by introducing a notion of similarity between data?

  • Kernel
  • SVM
  • Hierarchical clustering

Q.In a scenario, where the statistical model describes random error or noise instead of underlying relationship, what happens

  • Underfitting
  • Overfitting
  • Transduction

Q.Do you think heuristic for rule learning and heuristics for decision trees are both same ?

  • False
  • True

Q.What are different types of Supervised learning

  • Clustering and regression
  • Regression and classification

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