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Description
JASP Version
0.19.1
Commit ID
No response
JASP Module
Machine Learning
What analysis are you seeing the problem on?
Prediction
What OS are you seeing the problem on?
Windows 11
Bug Description
The prediction table based on a trained KNN model did not load.
Expected Behaviour
The prediction table should load.
Steps to Reproduce
- Train a KNN model on a training dataset and save it
- Open Machine Learning> Prediction>Prediction
- Load a test or prediction dataset (different from the training dataset) and load the trained model
- Load the features from the trained model. The prediction table fails to load.
I am attaching a printscreen:
This is the trained KNN model:
KNNTrainedModelVladimirsim.zip
...
Log (if any)
JASP 2024-11-28 10_52_36 Desktop vladimirsim.zip
More Debug Information
This is the error message which I got while trying to predict values using a trained KNN model:
This analysis terminated unexpectedly.
Error in eval(predvars, data, env): object 'Good' not found
Stack trace
jaspStateR$new(object = object, dependencies = dependencies)
initialize(...)
.mlPredictionGetPredictions(model, dataset)
.mlPredictionGetPredictions.kknn(model, dataset)
kknn:::predict.train.kknn(model[['predictive']], dataset)
kknn(formula(terms(object)), object$data, newdata, k = object$best.parameters$k, kernel = object$best.parameters$kernel, distance = object$distance)
model.frame(formula, data = train)
model.frame.default(formula, data = train)
eval(predvars, data, env)
eval(predvars, data, env)
To receive assistance with this problem, please report the message above at: https://jasp-stats.org/bug-reports
Final Checklist
- I have included a screenshot showcasing the issue, if possible.
- I have included a JASP file (zipped) or data file that causes the crash/bug, if applicable.
- I have accurately described the bug, and steps to reproduce it.