Hello Community, I have bee using both Decision Tree Learner, Predictor and String to Date&Time to predict the time. I have some dates, so that I use the node of String to Date & Time to convert. However, I have three main challenges below: When I tried to increase the Relative (60% or 70%), it could potentially freeze the program while running the node of Decision Tree Learner. Once I selected “Guess data type and format” in String to Date&Time, it stated that “No suitable format found”. Alternatively, I have manually modified the date format to fit with the date format in the String to Date&Time. Then the error message stated in the console “Execute failed: Failed to parse date in row ‘Row0’: Text ‘2/1/2000’ could not be parsed at index 0” Whenever the program got frozen there, I had to close the program. When I re-open KNIME, I have to re-configure the relative percentage in the node of Partitioning, the class column of Decision Tree learner, and the maximum number of stored patterns for HiLite-ing Please let me know if any of you might have some tips or suggestion to share with me. Many thanks a lot in advance.

String to Date&Time node and decision tree learner

mlauber71 October 27, 2022, 3:17pm 17

I assume this would be the 20% test data to validate the model where you would base the statistics on. I would suggest to learn about creating machine learning models in a broader approach so you might see which approaches could work for your business question.

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