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How to create a chart that compares between the time consumption of different models?
Hello everyone, I am pretty new to rapidminer and still trying to understand how to use it.I have been trying to get a comparison of the total execution time between different models, but I am struggling with making it work. if anyone has any steps or solutions I would be thankful.
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Where I will get certification in Altair?
Process
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Rapidminer Local Repository
Hello everyone! Local repository is not showing after I install rapidminer, that means I cannot import any file.. please I need your help
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What does it mean if my AUC graph looks like this?
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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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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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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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How to calculate ROC and AUC and compare unsupervised algorithms?
I am working on a unlabeled dataset and trying to find out anomalies. I would like to compare unsupervised algorithm performance but I couldn't find out how to do it with rapid miner? Could anyone help me to do it?
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Should I see a decision tree in the ROC chart with default threshold of 0.5?
I'm running the "Hotel App Performance Measurement Solution" process from TrainingResources. I thought I understood the ROC concept but now I am confused about that specific example. From the confusion matrix (pasted at the bottom below) I think the FPR is 6% and the TPR is 33%, which I find on the ROC (black lines…
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Compare ROC and Normalization use - getting different results
Hi,I'd like to better understand the use of Compare ROC operator:I'm using it to compare 3 classifiers: SVM, KNN and Logistic regression, on the Titanic dataset. In the 1st scenario, I'm using normalize operator before the compare ROC input port.In the 2nd scenario, I'm using the normalize operator inside the compare ROC…
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Exporting ROC Curve underlying data
Is there anyway to export the underlying data used to create the ROC curve from the performance operator? I want a table where each row has a decision threshold, TPR, and FPR.
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Setting Parameters for Compare ROCs
Is there any way to manually set the positive class in the compare ROCs operator? It can be done in the Performance operator, but I can't find a way to do it with Compare ROCs.
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Does automodel calculate performance for mulitiple classes in predictive analysis ?
Hi, I am working on a class project and curious if to check prediction for a polynomial class. The original label consists of 15 different classes, on applying filter and selecting only 2 classes and running it through the automodel I was able to get the ROC comparison aswell as other performance values such as AUC ,…
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AUC Calculation within Auto Model
Dear Community, is there a possibility within the Auto Model function to generate the AUC quality measure by parallely computing selected classification models? I couldn't find the option to select the performance paramters like e.g. the F-Score, the AUC and so on. Thank you in advance for your support! Best regards!
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Maximize AUC
I recognize that this is a general question, but I am seeking some general guidance on approaches to consider to improve the AUC of a model. The data set I have is student data, and I need to develop a model that will predict the outcome of a student (successful/not successful). The results will be assessed by the AUC…
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How to output AUC for Rating prediction Extension
Hello, I'm trying to output AUC for Rating prediction plugin, but the performance(Rating prediction) only outputs RSME, how can i output AUC ? i tried the performance(binomial classification) but it requires to have binomial lables while my ratings is numerical, which decreased the performance, is there a way to output AUC…
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AUC setup
Hi all, I am new on RapidMiner and have an easy and probably stupid question. I have 3 columns, a label ( 0 or 1), a prediction ( 0 or 1) and a confidence ( between 0 and 1). When I run performance for AUC I only get an horizontal line y=0 and an horizontal line x=1. I can't make the curve behave as it should. I labelled…
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ROC with PCA
I am gonna show a comparison KNN model before and after applying PCA through ROC but get this error, can anyone help me?
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But is there a way you can change colours of models in ROC comparison. Some colours seem so similar.
is there a way you can change colours of models in ROC comparison. Some colours seem so similar...and it becomes very hard to distinguish them when they are compacted together in ROC COMPARISON.
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ROC threshold blue line
Can anyone explain what the blue threshold line means and how to interpret it? Is there any way to disable it remove from chart in Rapid MIner? Thanks in advance.
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Inconsistency of ROC curves
Hello, I generated a ROC curve for a logistic regression with a data set by using the performance operator, then clicking on criterion and AUC. Fine. Then I used the same data set and use the Compare ROCs operator, picking logistic regression and decision tree as models. The ROC curves appear, and the ROC curve for the…
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ROC Graph visualisation
Hello Community, is there a possibility to generate ROC curves in consistent way with regard to the color? By sequentially executing ROC-processes RapidMiner generates the following ROC curves where e.g. the SVM curve has once a green color and once a red color. This looks very strange with respect to subsequent analytical…
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Interpretation of ROC Analysis
Hello Community, I have derived the following ROC curves by considering four classification models: As you see, SVM and k-NN generates a curve where shades respectively exist. Would it be a correct implication out of the graph to say that only k-NN and SVM were able to learn based on the given dataset and the resting two…
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After model validation, ROC was not show on the performance, but ROC (threshold)
I'm working with only 59 data (7 positve class, 52 negative class). First, I use sample operator to balanced data (undersampling) and create decision tree model with cross-validation. After I check the performance of the model, the ROC showed as the picture. It has only blue line, which is ROC (Threshold).
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Logistic Regression_AUC_Store and retreive model
For logistic regression classifier, is it possible to: 1- Draw AUC for both training and testing data "in the same model" without using cross validation operator "I mean use only split data operator".2- How to save model and use it to train new dataset. I would appreciate if the answer can be associated with a figure or…