classifier

[Sameen]

hey , i am new student. i have assignment of predictive modeling in knime in which i have to build the transparent classifier. can any one tell how do i bulid the transparent classifier by using 3 attribute

[ipazin]

Hello @Sameen,

welcome to KNIME Community!

Not sure what a transparent classifier is but KNIME offers plenty classification algorithms like logistic regression, naive Bayes, SVM, decision trees which you might explore. Choosing which one to use highly depends on data you have.

Additionally here is link to KNIME Learning section where you’ve got everything you need to get started with KNIME and your assigement:

KNIME Learning | KNIME

Br,
Ivan

[Sameen]

yeah thank you soo much. what is the method to determine the most important attribute of classifier?
it is the top 3 attribute of decision tree

[ipazin]

Hello @Sameen,

is this some kind of course where you have to build decision tree model and determine most important features in it? Lot of questions lately on it…

Anyways here is topic to check:

Understand Tree Decision

Hello I am starting with Knime and I have created a workflow to evaluate different calcification algorithms. For my data, the best is Tree because a I have a good accuracy. My question is related about how can I understand the algorithm, and what are the fields of my data that have more influence in the prediction. I am trying to determine if a customer is going to leave the company and I have 50 fields in my database, but I don´t know what are more important fields to decide that a customers…

Br,
Ivan