Explain ML model predictions
shapskillsetup L2★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Explain ML model predictions via Shapley values
Best for
Debugging model decisions and checking for fairness/bias before production deployment.
Inputs
- · trained model
- · test data
Outputs
- · SHAP values
- · feature importance plots
- · waterfall/force visualizations
Requires
- · SHAP library
- · tree-based/deep learning models
Preconditions
Model must be trained; input data compatible with model
Failure modes
Model type unsupported (use KernelExplainer fallback); memory exceeded on large datasets
Trust signals
- · MIT license
- · K-Dense Inc. skill-author
- · supports tree/neural/linear/black-box models