hello dear form users
ı have a question ı m new to knime and datascience. ı want to prediction so ı want to using Desicion Tree Regressor, Random Forest Regressor , Support Vector Regressor , Multiple Lineaar regressor and Gainet Boosting Tree Algorithm.
What are the nodes of these algorithms?
and I need to select a feature using back-elimination or forward-elimination methods.
So where can I find the p-value values?
Hello BerkeyAkar,
In order to use these nodes in your Knime platform, you should install the relevant extensions from “nodepit.com”.
Please follow these steps:
1- go to “https://nodepit.com/”.
2- search the node you are looking for, for example: “decision tree”.
3- select “decision tree (category)”
4- In the new window, scroll down and find “Installation”. Under this topic, copy the name of the specific extension, here for decision tree learner node we have " KNIME Base nodes".
5- open your knime platform, click on File —> Install Knime Extensions —> paste "“Knime Base nodes” on search box. When you find it, select it and then follow the instructions to install it.
I hope this will be helpful for you. Please let me know if there is any further information I can provide.
Hello,
KNIME Base nodes Extension does not need to be installed separately as it’s included upon KNIME installation. And if not mistaken provides nodes for all above mentioned algorithms. @BerkayAkar have you tried searching these nodes in Node Repository (e.g. decision tree...)? That was my first try when starting with KNIME and looking for certain functionality or algorithm. Also I was exploring workflow examples on EXAMPLES Server a lot. You can access those from KNIME Explorer or search for them on KNIME Hub.
Additionally as you are new to KNIME and data science I suggest you explore KNIME learning materials. Especially Data Science courses. Good luck!
Br,
Ivan
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