I have created a training model and ROC Curves shows 0.9748 on Multiclass Confusion Matrix. I ran this model on test data using "score on another dataset" and got the predictions. I would like to understand how to get the Threshold for these predictions so that we can publish the future values to the users.
h20 driverless ai ROC curve How to identify threshold for Multiclass Confusion Matrix
149 Views Asked by user10789227 At
1
There are 1 best solutions below
Related Questions in DRIVERLESS-AI
- Does H2O Driverless AI have inbuilt support for merging multiple dataset and using the merged dataset for training?
- Does H2O Driverless AI has inbuilt support for sharing a visualization graph from one account to another without downloading?
- Installing Python Client for Driverless AI
- Multilabel classification using H20.ai
- Can we see the list of algorithms DriverlessAI uses?
- Is H2O DAI's MLI display menu dependent on the algorithms used in its experiments?
- ModuleNotFoundError: No module named 'h2oaicore'
- Is there a way to install h2o driverless ai on windows 10?
- H20 Driverless AI, Not able to load custom recipe
- Is it possible to define how many variables to use for the final model in H2O Driverless
- H2o Driverless-AI cannot import data
- H2O's Driverless AI .deb package failing to install
- Fraud Ring Detection using H2O driverless AI - samples, pointers needed
- How to format a data set for time series prediction in H2O's Driverless AI
- Is it possible to enable the H2O DAI to check variable multicollinearity when building models?
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
DAI returns prediction values not labels. This means you have to set the threshold yourself. For example you could download the predictions file, then import it into your favorite language (let's use H2O-3's python api for example) and then run an a boolean check to see if a given column has a value that is above the threshold for it to be a specific label.
Details on the multiclass experiment graphs and how DAI decides to display different threshold metrics can be found in the documentation here