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I have a question about multi-label modeling and metadata
I have a question about multi-label modeling. I am analyzing data whose output is a graph value. Usually, I first convert the label values into metadata and then specify the labels in the options of the multi-label modeling operator. However, because I believed that the graph value data was related to each other, I…
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I would like to inquire about the 'Prescriptive Optimization' operator settings
Referring to the tutorial, I created the process as follows: <?xml version="1.0" encoding="UTF-8"?><process version="10.1.002"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="10.1.002" expanded="true" name="Process" origin="GENERATED_TUTORIAL"> <parameter…
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Is optimization possible in a multi-label problem?
For example, there is data with 7 variables, 2 of which are designated as prediction targets (labels), and for convenience, we will call them A and B (real type labels). A and B predictions could be performed without problems using multi-label modeling operators. In addition to this, what I want to do is a multi-label…
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When using the multi-label modeling operator, is the Set role operator required?
read csv > split(train, test) > multi label modeling > multi performance > apply model Referring to the tutorial of the multi label modeling operator,I created a very simple process as above and accidentally did not include the set role operator. However, the label values of the test set were predicted normally and the…
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Can I use the 'Model Simulator' operator using a model from the 'Multi Label Modeling' operator?
We were able to successfully obtain predicted values for data with two labels (labels independent of each other) using the 'Multi Label Modeling' operator.However, when I connect to ‘mod’ of ‘Model Simulator’, a ‘Wrong Model Type’ error message appears.Ultimately, I wanted to set specific target values for the two labels…
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How to I sort out various unstandardised data from a single cell ?
Hello everyone, For context, I'm trying to find out which marketing medium is the most effective to be used by Starbucks. Attached is the dataset used and the column pertaining to my part is question 19. As you can see, the data are retrieved from survey forms, as such, the format of their answer varies (e.g. some people…
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Setting the whole matrix dataset as a label
Let's say you have two-time series datasets, the first dataset has five explanatory variables, and the other one is a dependent dataset with about 1000 variables, each representing an individual cell. So how do you set the whole dependent dataset as a label for prediction or regression analysis? If not possible, is it…
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Multi Label for Deep Learning Modell
Hey, I'm kinda new with RapidMiner. I'm working on a Deep Learning Modell and my dataset has around 400 attributes which has to be predicted. Is there an possible way to label these attributes without doing it one by one? Thanks!
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i need help in linear regression
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…
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How to set the whole dataset (1000*100) as a label
let's say I have 4 datasets of 1000 rows and 100 columns, and each dataset is a different variable (4 variables), so out of 4, 3 are predictors and one is a target, so how do I set a dataset of 1000*100 as a label so that I can build predicting model using 3 other datasets as predictors, take these datasets as…
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set label in data permanently
Hello. The sample data in RM studio has a data set called Titanic Training data which has the label already set to the survive attribute. Is there some way to permanently set an attribute as the label so that you don't have to use the set role operator? Thank you.
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Giving generated Clusters a semantic meaning
Dear RM-Community, which possibilities does Rapid Miner offer with regard to the content based analysis of generated Clusters? My goal is to give the respective clusters a sense. Clusters could be generated, but it is currently unknown what the cluster groups hide in detail. Which methods or rather operators does…
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Decision Tree without a label... is it possible?
My task has two parts: first I use a dataset of 11 columns plus a target binomial variable (heart attack: yes or no) to choose the best model to predict a heart attack. I was successful in comparing the models with ROC. Among decision tree, random forest, k-NN, rule induction, and naive Bayes, I figured out that Decision…
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Algortihms are "cheating" and copying right label from other instances
Hi everyone, I have a problem with my model. It should predict a monthly product volume from some given attributes. My (training)data consists of data from ~ 60 past month. Each instance in the dataset represents one day. Two given attributes are the "month" and the "year". The label is the product volume at the end of the…
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Selecting samples for attributes whose values contributes the most
I have a attribute job which is a label and has 15 different values. Out of 1000 samples, 7 values contributes to 950 samples and remaining 8 values contributes to 50 samples. I want to use only the 950 samples (i.e 7 values only) and ignore the rest. How do I select the values of the label which contributes the most to…
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How can I use deep learning with windowing operator when the horizon is larger than one?
Hello Guys, I am trying to use the process example "s&p 500 regression using windowing and convolution" and it works well to predict the price for the next day when in windowing operator (horizon=1); however if horizon is larger than 1 (a few days ahead forecast) the deep learning operator fails. Question: Do you have an…
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Vector Linear Regression - Multi Label
Hello, I'm trying to built a vector linear regression model with multiple label attributes, but I'm finding difficulties with the special role setup. I read the vector linear regression description and from the below I understand that all labels must be named in its special role as something like "label_1", "label_2" and…
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Does the map operator work also for the label field?
I am trying to replace the numerical key values of the label field with their real name values, just before publishing to a web app. But I'm getting the following error. "Failed to run process '/apps/xxxxxx/process/initialization' on click. Operator 'Execute task_xxxxxx' reports: The 'Map' operator in the process executed…
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tune different layer
As I know there’s a function we can compare the accuracy of different ML algorithm. But I’d like to know if there’s possible to count how many layers get lowest sum of square error(SSE) by ANN?
If that could be possible, please let me know the process of how to do it with Rapidminer and even where the related resource is.…
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How can I classify one example into multiple classes if necessary?
Hello, I have yet another problem/something I don't know. I've looked on similar cases but couldn't find an answer for my case. How can I make test data with multiple labels? How can I classify one example into multiple classes if necessary? How can I make test data with multiple labels? Say I have an example: I like…
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Multiple Labels for Binary Classification Problems in one model
Hello, sgenzer I read them to the end! Current approach: Separate models for different binary labels I have prepared a decision tree model which correctly predicts a binary label for product A when Product A is used as the label. For product B, I re-run the process to train a similar model when B is the label. Then I would…
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Attribute role: label
What does it mean to have an attribute assigned the role as label? I'm learning how to conduct a decision tree and an association matrix, and was wondering what significance the label attribute can have.
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Polynominal by Binominal Label Error
Hello, I get this error and don't know how to solve this: However, my process is like described in the tutorial, where they use SVM aswell. My label has also 5 different classes. Or does this mean, that I have to split my polynominal label into 5 binominal labels before ? Thank you. Kind regards, Tobias
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Multiple Label dataset classification
Hi Everyone, I am working on this text mining use case where my dataset has simply 4 columns, An ID, a Comments field (text), a Failure (Yes/No) and a Failure Type (Polynomial). The failure type is there only when a failure exists otherwise it is empty. I know how to use the text mining process to classify a failure yes or…
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Handling multi-label for prediction
Hello Everyone 1. I would like to do a multiple label prediction for the missing data below. I try many ways but the label can't be set 4 at a time . is there anyway to tweak this ? 2. my rapid miner does not show xml tab Please help. Thank you in advance