You have a general problem with your data structure. I have fixed the data and attached it here in the ARFF format. Your dataset now has two main sections: (i) relation and (ii) data
Quick observations: Your data have some missing values that you need to check before analysis. Also, if your aim is applying text mining (analyzing the text in the “description” attribute), this can’t be done before fixing the current attribute type.
If you're encountering an error in WEKA, here are some general troubleshooting steps you can try:
Check Input Data: Ensure that your input data is correctly formatted and does not contain any missing or invalid values. Data preprocessing steps such as cleaning, normalization, and feature selection may be necessary before running the algorithm.
Review Algorithm Settings: Double-check the settings and parameters of the algorithm you're using. Make sure they are appropriate for your data and task. Experiment with different settings to see if the error persists.
Update WEKA: Ensure that you are using the latest version of WEKA. Newer versions may include bug fixes and improvements that address issues encountered in earlier versions.
Search for Solutions: Search online forums, user groups, or the WEKA documentation for solutions to common errors or issues. Other users may have encountered similar problems and found effective solutions.
Contact Support: If you are unable to resolve the error on your own, consider reaching out to the WEKA community or contacting WEKA support for assistance. Provide as much detail as possible about the error, including the steps to reproduce it and any relevant data or settings.
Please provide more information about the error you're facing, and I'll do my best to help you troubleshoot and resolve it.
Please follow me if it's helpful. All the very best. Regards, Safiul
The error message "wrong number of values" typically indicates that there is a mismatch between the number of attributes defined in the dataset and the actual number of values provided in one or more instances. In your case, it seems that WEKA is expecting 22 attributes but is reading only 20 values on line 3215 of your dataset, encountering an end-of-line (EOL) token. To resolve this error, you should carefully examine the dataset, particularly line 3215, to ensure that each instance contains values for all 22 attributes, separated by the appropriate delimiter (usually a comma or a tab). It's possible that there might be missing or incorrectly formatted values in this line or elsewhere in the dataset. Once you correct the dataset to ensure that each instance has the correct number of values, you should be able to load it successfully into WEKA.