Machine Learning

  Machine Learning MCQs 👉1.  Machine Learning MCQs - UNIT 1 👉2.  Machine Learning MCQs-2 (Performance Metrics, Linear Regression, Naïve Bayes Classifier ) 👉3.  Machine Learning MCQs-3 (Logistic Regression, KNN, SVM, Decision Tree) 👉4.  Machine Learning MCQs - 4 (Clustering, Dimensionality Reduction) 👉5. Machine Learning MCQs - 5 (Ensemble Models)

  Ensemble Learning MCQs   1.      The model which consists of a group of predictors is called a Top of Form  Group  Entity  Ensemble  Set Ans: C 2.      A Random forest is an ensemble of Decision Trees Top of Form  True  False Ans: A 3.      The steps involved in deciding the output of a Random Forest are Obtain the predictions of all individual trees Predict the class that gets the most votes Both of the above None Ans: C 4.      A hard voting classifier takes into consideration Top of Form  The probabilities of output from each classifier  The majority votes from the classifiers  The mean of the output from each classifier  The sum of the output from each classifier Ans: B 5. If each classifier is a weak learner, the ensemble can still be a strong learner? Top of Form  True  False Ans: A Bottom of FormBottom of Form 6. Ensemble methods work best when the predictors are