Tree/Rule based classification algorithms generate ... rule to perform the classification.

Related MCQs

• In a Rule based classifier, If there is a rule for each combination of attribute values, what do you called that rule set R
• Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models
• Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms? 1. Max number of samples 2. Max features 3. Bootstrapping of samples 4. Bootstrapping of features
• Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms? 1. Max number of samples 2. Max features 3. Bootstrapping of samples 4. Bootstrapping of features
• In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario
• Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that Select one:
• What is the Accuracy in percentage based on following confusion matrix of three class classification. Confusion Matrix C= [14 0 0] [ 1 15 0] [ 0 0 6]
• Dimensionality Reduction Algorithms are one of the possible ways to reduce the computation time required to build a model
• Dimensionality reduction algorithms are one of the possible ways to reduce the computation time required to build a model.
• It is not necessary to have a target variable for applying dimensionality reduction algorithms