Saving Classification Learner Results
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Is there a way to save (export) the classification learner results (history and current model window values) in txt (or word or pdf or xls) format? Thanks for the help.
3 个评论
KSSV
2018-7-12
You can export the model....and use it with the inputs to generate the results.
MB
2018-7-12
Drew
2022-10-18
As of R2022b, the answer is yes, as seen in the answer below, by adding all columns to the Results Table, and exporting the Results Table to a text csv file (or the MATLAB workspace).
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Drew
2022-10-18
1 个投票
- In R2022b and higher, Classification Learner and Regression Learner now have a "Results Table" which contains lots of information about all of the models that you have developed in a session. You can use the Results Table controls to add all available columns, and then Export the Results Table to the MATLAB workspace or a csv text file. See https://www.mathworks.com/help/stats/release-notes.html: In the Classification Learner and Regression Learner apps, you can use a table of results to compare models. On the Classification Learner or Regression Learner tab, in the Models section, click Results Table. In the Results Table tab, you can sort models by their training and test results, as well as by their options (such as model type, selected features, PCA, and so on). For more information, see Compare Model Information and Results in Table View (for classification) and Compare Model Information and Results in Table View (for regression).
- On a related note, in R2022a and higher, Classification Learner and Regression Learner allow saving and loading of the app session. This is for the times you want to resume or share a full app session. In Classification Learner and Regression Learner, you can save the current app session and open a previously saved app session. To save the current app session, click Save in the File section of the Classification Learner or Regression Learner tab. To open a saved app session, click Open in the File section. You can also open a saved app session from the command line. For more information, see Classification Learner and Regression Learner.
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