Q.20 Which of the following is NOT supervised learning?1. PCA2. Decision Tree3. Linear Regression4. Naive Bayesian

Which of the following is not a supervised learning(1 Point)Naive BayesianLinear regressionDecision treeNone of these

Which of the following is NOT a classification technique?Question 5Select one:a.Logistic regressionb.Linear discriminant analysisc.K-nearest neighborsd.Principle components analysis

12. Which of the following statement correctly indicates the difference between ‘supervised learning’ and ‘unsupervised learning’?以下哪一個説法正確地指出「監督式學習」和「非監督式學習」的區別？Supervised learning cannot be applied to regression analysis, while unsupervised learning can. 監督式學習不可用於迴歸分析；非監督式學習則可以。Unsupervised learning requires a labeled dataset for training, while supervised learning can extract features and patterns from unlabeled dataset for learning. 非監督式學習需要利用已標注的數據集來進行學習；監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning requires a labeled dataset for learning, while unsupervised can extract features and patterns from unlabeled dataset for learning. 監督式學習需要利用已標注的數據集來進行學習；非監督式學習則可以從未標注的數據集上歸納出特徵和模式。Supervised learning can be applied to clustering analysis, while unsupervised learning cannot. 監督式學習可用於分群分析；非監督式學習則不可以。

Which of these is a supervised learning algorithm?Answer choicesSelect an optionClassificationClusteringPCANone o

Which of the following statements about Naive Bayes classification is true?It assumes that all features are independent of each other.It works well only with numerical data.It is a type of unsupervised learning algorithm.It is primarily used for regression tasks.