Yellowbrick Alpha Testing Questionnaire
Thank you for helping us work through the alpha testing phase of the Yellowbrick library!
Before responding to this form, please review the notebook "Getting Started with Yellowbrick", which includes a tutorial, explanation of use cases, and Alpha testing instructions.
Note that our survey collects email addresses so that we can follow up with you on any questions based on your feedback. We will NEVER share your email address with anyone, or add it to a list of ANY kind. You will receive at most a few one-on-one emails from the core contributors of the Yellowbrick project (especially if you provide particularly valuable feedback!).
* Required
Email address
*
Your email
Link to notebook fork
*
Link to your notebook fork (should be a link to your notebook in GitHub). Check the notebook requirements section in the documentation.
Your answer
Was your dataset used for regression or classification?
Regression
Classification
Both
Other:
Clear selection
How did you load your data?
In a Numpy array
As a Pandas dataframe
Other:
Clear selection
How many features were in your data set?
< 10
10-20
30-50
50-100
100-500
500-1000
> 1000
Other:
Clear selection
How many instances were in your data set?
< 1,000
1,000-5,000
5,000-50,000
50,000-500,000
> 500,000
Clear selection
Which Scikit-Learn estimator(s) did you use?
LogisticRegression
GaussianNB
MultinomialNB
SVC
KNeighborsClassifier
RandomForestClassifier
LinearRegression
Lasso
Ridge
ElasticNet
Other:
What Scikit-Learn tools and utilities did you use?
Cross Validation
Imputation
Normalization
Standardization
Metrics
Feature Selection
Grid Search
Other:
Which Yellowbrick visualizer(s) did you use?
ParallelCoordinates
RadViz
Rank2D
ClassificationReport
ROCAUC
ClassBalance
PredictionError
ResidualsPlot
Custom Visualizer
Other:
How comfortable did you feel with interpreting the visualizations?
*
Not at all comfortable
1
2
3
4
5
6
7
8
9
10
Very comfortable
What type of difficulties with your loaded data did you encounter?
When following the examples was it clear what format, shape or data types were necessary to be used in the example yellowbrick class?
Your answer
How did Yellowbrick visualizers aid your feature analysis and modeling processes?
They gave me more insight into the dataset.
They sped up my feature analysis/exploration process.
They facilitated my feature engineering process.
They sped up the modeling process.
They helped me make a better (more performant/higher scoring) model.
What types of exceptions (if any) did you encounter?
Please check all that apply!
No errors or exceptions
YellowbrickError
VisualError
ModelError
YellowbrickTypeError
YellowbrickValueError
TypeError
ValueError
AttributeError
KeyError
ImportError
matplotlib Error
scipy Error
sklearn Error
numpy Error
Other:
Error Tracebacks
*
Please ensure that you have left any errors that you encountered while using the yellowbrick package with your example notebook data.
Yes - I have included all errors that I encountered.
No - I did not encounter any errors.
What types of Yellowbrick visualizers or utilities would you like to see added?
Your answer
What were the challenges of working with Yellowbrick?
Your answer
What would make Yellowbrick better?
Your answer
Would you be interested in participating in a user study?
*
Yes
No
How likely would you be to use Yellowbrick in your future projects?
*
Very unlikely
1
2
3
4
5
6
7
8
9
10
Very likely
Any final comments?
Your answer
Send me a copy of my responses.
Submit
Never submit passwords through Google Forms.
reCAPTCHA
Privacy
Terms
This form was created inside of Bengfort.com.
Forms
