ACM-VIT / ACM-VIT/Good-Client-Bad-Client
STEP 9: Evaluate model
Open
good first issue
hacktoberfest
helper issue
- Dominant language
- Jupyter Notebook
- Stars
- 20
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
**Task**
Compare the predicted and observed label classes to see the actual accuracy.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the project's Jupyter Notebook and the step where predicted and observed label classes are available. Compare those classes and calculate the actual accuracy; the work is done when the model's accuracy is reported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100