What is the role of "Freq" in the Partition decision tree model?
Please consult the experts: Are there any examples of how "Freq" plays a role in the decision tree model of "Partition"? I searched for the script and couldn't find it. Thanks!
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view all learning resourcesPlease consult the experts: Are there any examples of how "Freq" plays a role in the decision tree model of "Partition"? I searched for the script and couldn't find it. Thanks!
I would like to compare strength of effect in my logistic regression model. In least squares models I can bring up and compare standardized beta coefficients. Can this be done with logistic models? (I don't see the option in "columns" option). Or, is there another method to compare the strength of effect of each of my terms in the model? ThanksFishguy
If my data has 1's and 0's in a column for a X and I am running a regression of Y on X, how can I force JMP to select one of those as baseline values (instead of JMP picking it based on its internal rule) in creating indicator function parameterization? Thanks
Hi, I have a relatively small data set with 95 observations/records and about 70 variables for each record. The goal is to detect which variables influence the response and find the optimal settings of these variables. Because of the small number of observations I decided to divide data into only two categories, training and test data set (omitting the validation data set). My strategy is to apply...
The title is a bit hard to understand. Take this big class as an example:
1. First, summarize the average values of "height" and "weight" by age.
2. Then summarize the median of "height" and "weight" by age.
3. Then compare the mean and median of "height" and take their minimum.
Finally, compare the mean and median of "body weight" and take their minimum. I'll use the following code and finally loop t...
I would like to compare strength of effect in my logistic regression model. In least squares models I can bring up and compare standardized beta coefficients. Can this be done with logistic models? (I don't see the option in "columns" option). Or, is there another method to compare the strength of effect of each of my terms in the model? ThanksFishguy
If my data has 1's and 0's in a column for a X and I am running a regression of Y on X, how can I force JMP to select one of those as baseline values (instead of JMP picking it based on its internal rule) in creating indicator function parameterization? Thanks
I like that JMP's prints a confusion matrix and ROC for the logistic (Generalized) regression, but some important metrics seem to be missing from the results: precision and F1 score. Is there a way to auto-include these in the output? Or, have it be computed as "automatically" as possible when I re-run a new classificaiton model. I am trying to avoid manually recomputing these with each new model....
Nothing posted at the moment.
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