Consider a labelled data set having d attributes and n points in two linearly separable classes. In which of the following situations will the classes necessarily remain linearly separable? [Select ALL that apply.]Group of answer choicesA new labelled point is added.An attribute is removed.A new attribute is added.A labelled point is removed.

True or False: The following data plot represents data that is linearly separable?Question 1Select one:TrueFalse

Q.No 8. Linear discriminants are used for:a) Regression tasks predicting continuous valuesb) Classification tasks separating different classesc) Dimensionality reduction techniques for data visualizationd) Clustering algorithms group similar data points

Which of the following is a non linear data structure ?1 pointListStringStacksNone of the above

A scatterplot with a linear model is shown.Which best describes the linear model? A. The linear model does not describe the data well because there are not the same amount of points above the line as below the line. B. The linear model describes the data well because the points are scattered above and below the line. C. The linear model does not describe the data well because it does not go through any of the points. D. The linear model describes the data well because some of the points are close to the line.

Which of the following is a Linear Data Structure?Answer choicesSelect only one optionREVISITLinked ListStackQueueAll of these