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Can confidence value for prediction be interchangeably be used with the likelihood for an event?
For example: 0.978 confidence (yes) can be implied as the likelihood (chances) of this event being true is 97.8%.
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is image classification possible using rapidminer?
if possible how to do it? i am beginner on using rapidminer
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How to calculate predictive weights?
Hello! I am using multiple variables (rainfall, temperature, wind speed, slope, distance to settlements, etc) for predicting fire events using different machine-learning algorithms. In the below-given example, I have used Random Forest to do so. Using 'Explain Predictions" this result was generated. In Support Prediction,…
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Dataset with binary flag columns
Hi all, For an assignment I have to design a model that can predict the price category of a house (five categories) based on multiple variables. A description of the variables can be found below. I have imported the (training) dataset into Rapid Miner and assigned the proper role and type to each of them. However, I am…
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Prediction by using "Model Import (Keras)" operator
Hello, I want to create "prediction-model" by using "Model Import (Keras)". I trained DNN model for prediction in python and save the model as h5-file format. Then, I read the file by "Model Import (Keras)" and tried predicting, but it didn't work as I thought. The output of this operator was "classification", not…
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Set Role Operator - attribute missing in input example set
Hello, New to RapidMiner. I am following the process described in the "Automatic Classification of Documents" tutorial (can't post links yet but it's in RapidMiner Academy). When it gets to the Set Role operator, I get an error message where it says the attribute is missing in the input dataset (Image 1). However when…
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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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Explain me about this Support Vector Machine training set graph?
I made a support vector machine classification with supplied training set of VADER labelling for positive and negative sentiment (1000 positive sentiment and 400 negative sentiment). I don't understand why the graph for positive sentiment is negative on the function value? and why my negative sentiment is having a negative…
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How to Post Pruning in RapidMiner
Hi everyone, I’m having trouble with an overfitting decision tree and my teacher suggested using post-pruning to improve accuracy. However, I’m not sure how to apply post-pruning in RapidMiner. Can anyone offer some guidance?
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Testing set in Hierarchical Classification with Cross Validation
Hello, I'm trying to apply a Hierarchical Classification, and it works with the Cross-Validation (Training-Validation set) operator. But, the problem is when I'm using the testing set, because Performance operator does not show results for each nodo. Instead, it shows like a multi-label classification, then seems like when…
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Confusion Matrix Precision and Recall
I have precision and recall results from two different data sets. one indicates (positive class: positive), and the other (positive class: negative). I do not understand what it means?. for example in this picture:
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Applying Word2vec on a dataset of texts
Hi, I created ad SVM model for text classification and I want to share the process with you to have any advise to improve it. The purpose of this classificator is to classify a dataset of comments, reviews, or sentences in general, into positive and negative and the dataset I used for its training was made of 2400 tweets…
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Performance operator not working
Hi, has anyone tried to do a stock sentiment analysis using news headlines? I am currently working on such a project and have used Extract Sentiment Operator, as well as Process Documents from Data (inside: tokenize, filter tokens by length, filter stopwords), I have split the data, used k-NN, applied the model, but…
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Criterion for overfitting evaluation
Hello everyone. Have a nice day. I am getting some overfitting trouble. I have been searching the information on RM Community and the other websites. They told that if the accuracy is greater than 90%, I am most probaly facing to overfitting. My case below: I have the datasets like this: Then I created the process using…
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How to choose a better dataset result on performance classification?
here my result, data latih as data sample. i want to compare datasets and choose the better one. all i know that the higher accuracy the better and the lower std deviation the better, but i kinda confuse with this case
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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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Error in Binomial Performance Classification Operator
Dears I use deep learning for time series prediction in a binary classification problem. The result sometimes just contains a value for prediction (e.g., just "false"). The binominal classification performance operator has an error in this scenario with this message: "The attribute prediction has 1 different values, must…
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Classification of Twitter users into 4 different categories
Hi, I'm a newbie to Rapidminer. I really appreciate it if anyone can help me resolve the question. I have a dataset with two attributes: Twitter usernames and bios. I manually sorted 1000 usernames into four categories according to the bios. I would like to find a good way to classify these usernames in Rapidminer. But…
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why the accuracy and AUC values are so different?
Please help me, Why does the 65% accuracy value get an AUC value of 0.727, while the accuracy of 73.54% get an AUC value of 0.711. what affects both, why higher accuracy has lower AUC? I thank you in advance for your help! Best regards, Dhiii
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I did Linear Discriminant Analysis but i dont understand the result
hello everyone,i had to to Linear Discriminant Analysis on a dataset that has a binomial feature (satisfied, dissatisfied) and a few other features like age and gender and rating, but now i dont understand what does the result mean, can someone please explain to me? here is the process and the results and this is what i…
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ROC
hii, can anyone answer what is the difference between the blue ROC thresold line and the ROC red line on the ROC chart, and what is the meaning of the blue and red shadows behind the blue and red lines? Where did the AUC value of 0.711 come from in the chart below Thank you for your time and help! Best regards, dhiya
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Atribute Selection
Hiii all, I'm fairly new to Rapid Miner and need to help, why my attribute not detected in filter type subset I have 11 atrribute I thank you in advance for your help! Best regards, Dhiya
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explain ROC graph
Help me, can anyone explain about this ROC graph on rapidminer, I'm just learning? how to get the AUC 7.511 value on this ROC chart Thank you for your time and help! dhiya
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Optimizing Random Forest using Genetic Algorithm
Hi everyone, I would like to ask about classifier using Genetic Algorithm. I have a process in rapidminer like the attached XML but I'm not sure whether what I am doing is right or wrong. Thank you
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I'm trying to do prescriptive analytics, yet it keeps on loading. Any solution?
I'm trying to do prescriptive analytics, yet it keeps on loading. It just keeps on buffering for hours. Any solution?