Coding-based: For the given data set in the python file, do the following: Type this in a cell: random.seed(123) And then split the data into train and test data sets with a test_size=0.10 and random_state=1. Which of the following data sets contain record #32 with the following features? 1.35472 0.0 8.14 0 0.5380 6.072 100.0 4.1750 4 307 21.0 376.73 13.04  

The plot below shows data points between 2 predictor variables (x1 and x2) for a 2-class classification problem (red vs blue): What can be said about the relationship between the predictor variables and the response variable? Select one of the following options:

You are applying Adaptive Boosting method on a 2-class classification problem. Below is the table that displays the misclassification rate and the model values that are obtained upon training three models (i.e., m = 3). After training, a sample from the test data set is classified as +1 or -1 by each of these three models (as shown below): Model Misclassification Rate Value Predicted Class (test sample) 1 0.65 -0.310 -1 2 0.27 0.424 1 3 0.5 0 -1 Which class will the sample belong to using the Adaptive Boosting method?

Coding-based: For the given data set in the python file, report the standard deviation of the ‘ZN’ predictor variable.

Which of the following measures will attain the highest score, representing the impurity at a node for a 2-class classification problem, given the probability of an event occurring is 0.5?

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