Error: Model Comparison (41): Tool #3: Error in names(scores) <- paste(score.field, "_", y

georgeliu1998

Having worked on this for several hours, but still not able to figure out what's wrong...So basically I want to use the model comparison tool to compare models for a classification task, but got this error in the model comparison tool:

Error: Model Comparison (41): Tool #3: Error in names(scores) <- paste(score.field, "_", y.levels, sep = "") :

I have: imputed null values, confirmed variable names are valid and changed versions of logistic and decision tree tools to 1.0...still no luck, really got stumped here. Any help would be appreciated!

Please find attached the workflow and input file. Thanks.

George

credit-data-training.xlsx

Projec3-Credit_Non-Binary_0508_Latest.yxmd

Workflow

Error Message

Macros

Predictive Analysis

Udacity

R Tool

Accepted answers

CristonS

Apologies, I had detached the Boosted Model, since it was a regression and the other models were classification.

Projec3-Credit_Non-Binary_0508_Latest_edit.yxzp

All comments

CristonS

Hi @georgeliu1998, I'm seeing dashes in your field names, and special characters in the fields themselves. Once I changed the dashes to underscores, and removed the special characters (e.g. < £ - ) the workflow ran successfully.

georgeliu1998

CristonS ! I changed the variable names to single letters and used the Data Cleansing tool to remove all punctuation which eliminated all special characters, but I still got the same error...Can you please share your workflow? Thanks!

Projec3-Credit_Non-Binary_0508_Latest.yxmd

Reesetrain2

All,

Great catches, I would also like to add that you need to name all of the models that you are comparing.

-If you do not name the models and/or the model names are the same, it will not run.

-Please see my graphic below.

-I had an issue where I had not named two of the model as the default was X, giving me two models with the name X and it error-ed out.

-Cheers!

Matt

Capture.PNG

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