A data analyst is using the RANDOMFOREST procedure to create a predictive model. They want to specify the number of trees to be generated in the random forest for a robust prediction. Which option in the RANDOMFOREST statement correctly sets the desired number of trees?

A data analyst has performed a cluster analysis on a dataset and generated the following cluster matrix:

           Cluster 1   Cluster 2

Count       150         200

Mean X      5.0         2.0

Mean Y      2.0         5.0

SSD         20.0        15.0

Given the cluster matrix above, which statement correctly interprets the cluster characteristics?

You have a decision tree with a depth of 4. During validation, you observe the following characteristics: Leaf nodes at the lower depths have higher confidence for the predicted class but represent a smaller portion of the dataset. Conversely, upper-level nodes cover more of the dataset but with lower confidence levels. Given this scenario, which of the following strategies might help in improving the model’s performance without overfitting?

When preparing to score a new dataset with a predictive model you have previously built, you notice that one of the predictor variables has a higher rate of missing values than in the training set used to build the model. What potential issue should you be wary of?

You are analyzing a dataset with a linear regression model to predict sales revenue based on multiple input variables. To prevent overfitting, you decide to include a penalty for including too many variables in the model. Which property adjustment are you most likely to use?