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I'm using the Discretize by User Specification operator to turn my label from numerical data into nominal with 5 different classes, those being lowest, low, on target, high, and highest. After doing this all 5 classes are showing up in the data. I am then using a Sliding Window Validation using various models but am…
Hello everyone! I am just a beginner whom have just started to study RM for a few months. I am having a group problem to detect the outliers of Bank Marketing Dataset. This is my process (image below). The dataset has more than 40.000 examples and Outlier Detection Operator seems too slow for both Nominal and Numerical…
How is the default comparison group selected when using nominal attributes (predictors) for the Logistic Regression operator? I am aware that we can set the comparison groups manually by using Nominal to Numerical (dummy coding with comparison groups specified). But, when we are using nominal attributes directly, how does…
I am trying to read a csv file. The column names and first row of data are below. I need to convert data that contain % or $ to real numbers, not polynomials. How can I do this?…
hi everyonei have a problem implementing linear regression on a dataset that has polynomial and numerical data but theproblem is i want to predict Activity which is polynomial values and when i use Nominal to Numerical i still get error thank you all
Hello everyone i need help in linear Regression im a kind of confused the problem is to: "find out how the number of unsuccessful deliveries per channel will change in the future."and this is how the dataset looks like, the activity and channel attributes are nominal and there are 3 different channel values i used activity…
Excuse my noob level of understanding please, I'm brand new.I am trying to predict mortality on the titanic dataset using cross-validation and linear regression. As you can only use numbers with linear regression, I have converted selected attributes (such as survived) using the 'nominal to numerical' operator. I can see…
The general concept of what I am trying to do is that I have trained a model and now I want to apply it on a single example. My original dataset has too many attributes, so I thought, in order not to write all those values by hand, to just Store a part of it during training and then Retrieve and Filter by range 1-1 to get…
Hello there. I have this problem. I am working in a clustering problem, and I've already tried with a few of proposed solutions on other topics on the forum (yup, I did the search). I have only Polynomial attributes, then I used the nominal to numerical operator (with unique integers) I used K-Means (mixed euclidean…
Hi, I'm doing some experimentations with Rapidminer on decision trees and I found strange results : When the operator "Nominal to Numerical" (using "dummy coding" for example) is inserted / or not inserted after the training and test datasets, the resulting decision tree is not the same and then the confidence of…