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Auto Model Regression Results on Absolute Error and Squared Error
I have inquiry on absolute error and squared error. Does this same with mean absolute error (MAE) and mean squared error (MSE)? I did read the documentation but I'm still slightly confuse. Another question is does the relative error is same as important for regression? Would be great if someone can explain these to me.…
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Need Help In My Assignment
Predicting credit downgrades
Firms’ credit rating is one of the key parameters in investment, financial and operational
decision making. Your company asked you to assist in the company’s risk evaluation using a
dataset of firms that the company in may consider for investment. The dataset includes financial
variables,…
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Unable to output anything after Execute Python operator
I am trying to make a lasso regression plot with my dataset. However, it just does not show anything for my output in my Execute Python operator. My code is supposed to return the coefficient of the regression. There is no way for me to connect my Python block with any other operators as the other inputs are all expecting…
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Maximum K
"What
is the maximum k to be used in the optimization?" May I know where can I see this? Thank you! This is about regression analysis
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Gradient Boosted Tree don's give the final prediction
Hello Rapidminer Community ! I want to ask regarding Gradient Boosted model
that i used for my study on predicting corporate default risk. My dependent variable is
default and non default and i use number 1 as default and 0 as non default. I
already setup the data type as binominal. After
i call the related operators such…
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Is Multi Target Regression (MTR) available to use on RapidMiner?
I am new to this platform and have a use case in mind in which I wanted to predict 4 targets (all continuous) together. Somone had already asked this question before on this thread: here Since that question was asked in 2018, I think its probably a good time to get an update on that. So the question is: Is Multi Target…
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How to optimize parameter in linear Regression?
hello!! I create a multiple linear regression model by doing hyperparameter tuning using the operator optimize parameter, but I'm confused about what hyperparameters I should optimize in the rapid miner to avoid overfitting? I hope someone can help me in solving this problem.
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m5 Prime
Hi community! Please why is "m5 prime" under feature selection for linear regression when it is a tree model regression itself? I would be glad if you could enlighten me. Thank you. Jer
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I am using logistic regression, i just wonder why there is no odds ratio?
Do we have other options to show with the same purpose with odds ratio?
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Pattern Recognition
Hello, I m trying to identify patterns in a time series data(please refer to the data below),in such a way that it tells me about the signature(s) (pattern it has in a particular period of time and therefore the algorithm extract those continuous time period in the form of 'from' and 'to' dates). Suppose my resultant…
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SVR, kernel gamma, c, bias
Hi Community, I am running a support vector machine regression and the model is giving the bias as my predicted values for all my data points even though they are different values. I have used different kernel gamma values, different C values, yet I face the same effects. My model is based on the RBF, can I get a…
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Hi! Please how good is Decision Tree in Regression?
I have used the Decision Tree Regression and other regression models (SVR, LR, ANN, GBT, RFR etc.) on my data, and the former is performing better than all. I also took a new set of data for test, and the decision tree still performed better. But I have read about Decision Trees having overfitting problems, can I keep my…
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Process Help: Correlation and Regression
Hello! I have the following data (74 observations) and am trying to identify the process and operators to conduct an exploratory analysis (Correlation and Regression) of the relationship between the president's political party affiliation and this consumer good's Producer Price Index value which is averaged over each year…
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Logistic Regression Losing 1 Polynomial attribute consistently
I have two polynomnials data columns, one being an age group that is has 5 attributes (e.g. 16-20, 21-30....) and another polynomial with 4 attributes (Tariff plan 1, 2, 3, 4). When applying the logistic regression model, one attribute does not show in the model. For example I lose Tariff Plan 2 and Age Group 31-40, every…
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logistic regression
hello everyone, i got this result of logistic regression but now i dont know how to answer these questions, can someone please explain to me? 1- which variable is the most decisive
predictor of churn 2- Explain the choice and impact of the most decisive predictor, the impact
of tariff plans, and of data usage thanks
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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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create a Logistic Regression with restrictions
Hi I want/need to build a Log. Regression Model with additional restrictions for my Bachelor Thesis. in my case: ( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 <= x (extern Variable) && ( value of Attribute - avarage of this atribute) * Confidence(1) / 1000 >= -x in Words: Get best Regression Model…
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Impute Missing Values with Regression
Hello, I imputed missing values with the K-NN model and tested the performance. The performance is bad that is why I want to try imputing missing values with linear regression and check the performance too. Is that actually possible? If yes, which operators do I have to use? Thanks in advance!
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Can I make an excel to predict with new input after have a training model ANN (Neural net)
Hi everyone, I am in a problem to make an excel with the result after running and training model ANN Neural net in rapidminer. I made an prediction task, using input with many numbers and labels, OUTPUT is a real number (REGRESSTION) But when the result show the neural net with nodes and theirs weights, i dont know how to…
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Script Terminated abnormally - Keras Samples
Hello All, So, I've been able to run all the Keras samples in the Rapidminer repository except for the s&p-500-regression. I have the below error message which I think has something to do with Java or the operators being used. It would be great if someone can help on this! Thanks! * Exception:…
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How to explain the binary2multiclass
Hello good day! I am using a polynominal by binomial operator inside of it is the logistic regression now the result of the model is like this and I really dont know how to interpret or just explain the result: I believe I don't need to upload the dataset. I know that Positive
coefficient make the event more likely and…
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Logistic regression says only one label
I'm having a hard time finding a work around with this problem. So, I used Discretize by User Specification to categorized the values into five categories (Above Average, MTM, AM, LM, and VLM) then I set its role to label. I then used Cross Validation. This is where I started encountering problems, in the training area I…
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Provide bias to regression model to reduce total cost of mistakes
Hi, I am running a linear regression model to predict a monetary sum. If I miss the target by more than 15% however there is a fine imposed which is dependent on the direction in which I miss my target. So if I underestimate values by 15% or more, I have to pay a €500 fine, if I overestimate values by 15% or more, I have…
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Cost Analyses of inaccurate regression model
Hi, I have built a model to estimate house prices, however I would like to classify the predictions as correct or incorrect based on a % difference with the correct price. Any idea how I can do that? I would then like to apply a cost and a benefit for every correct/incorrect prediction. Kind regards, Hauke
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Logistic Regression
When I apply logistic regression process, how can we know these values in each dependent variables from the result. 1) The coefficient of determination 2) Wald test figure 3) Value of significance or P-value 4) Exponential beta Thks