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High Accuracy, low recall and low precision - how to optimise this?
Hi experts, I have a dataset with about 40,000 data and would like to do a classification. I have a binominal label (yes/no). To create the model I take a decision tree. Then I want to apply the created model to a training data set (30,000 data) via the operator Apply model. Overall I have a very high accuracy, of almost…
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How to change metadata especially values of a label attirbute?
Hi I have a label attribute that has some values. When I filter the example set to remove those records including a special value for their labels, the remind example set has that special value in its metadata, and my average precision and recall will be reduced even though my example set has not that value. I have to use…
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Recall/Remember Operators do not work
Hi everyone, I have a quick and kind of easy question I guess. The Operators Remember and Recall I use for my regression model do not work properly. When I run the process an error on the Recall-Operator occures: No object with name ..... was found.... Can someone tell me what could be the reason for this error? There are…
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How to calculate the error rate for each fold from given precision and recall ?
The Classes are four 1) Fatal Injury 2) Minor Injury 3) No Injury 4) Severe Injury
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Low Recall High Accuracy
Below example results for same dataset. And dataset has not missing value; For Naive Bayes: Rapidminer Recall: 26.35% +/- 5.17% (micro average: 26.37%) :/ Weka Recall: 0.768 Rapidminer Precision: 43.41% :/ Weka Precision: 0.735 Rapidminer Accuracy:77.14 Weka Accuracy:76.7639 % For Random Forrest: Rapidminer Recall: 16.60%…
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How to perform precision and recall with k-means and DBSCAN algorithms?
Hi all, I want to perform the precision/recall method on a K-means and DBSCAN algorithm. I've added a target label(Workaround) to the sample data set. Because of the map clustering on labels, i'm only able to set k=2. With other numbers it doesn't work because it has to match the amount of labels. Is there another way in…
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Which Confusion matrix is better?
I got the following results for two model: Accuracy Model1 92.22% / Model 2 96.95% Recall 94.20% /94.20% Precision 64.33% /84.74% F1-Score 76.45% /89.21% And I got the lift chart as well as attached. How can I classify my result based on the lift chart and my calculation? Knowing that the term is in identifying
spam…
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How do I restore a previous version of a process?
Hello, I am using rapidminer Studio 9-3-001 on an OSX platform. I am needing to restore a previously saved version of a process. I am trying to restore my process back to my original file from July 23, 2019, as I saved over a version I really need. Is there any way to restore the July 30th file back to the previously saved…
