Comparing to a generic two-state model, our models can distinguish class I from class II MHCs and correlate their structural parameters with the TCR/pMHC’s potency to trigger T cell activation. The models are tested by mutagenesis using an MHC and a TCR mutated to alter conformation changes....
Model debugging - Why did my model make this mistake? Feature Engineering - How can I improve my model? Detecting fairness issues - Does my model discriminate? Human-AI cooperation - How can I understand and trust the model's decisions?
a–c, Predicted (blue) and true (orange) daily case counts for our model (a), which uses hourly mobility networks, an SEIR model (b) that uses hourly aggregated mobility data and a baseline SEIR model (c) that does not use mobility data (see Methods,‘Aggregate mobility and no-mobility...
The proposed framework outperformed predicted probabilities and entropy-based methods of identifying instances at risk of being misclassified. Furthermore, the proposed approach resulted in uncertainty estimates that proves more independent of model accuracy and calibration than existing approaches. The ...
Excess cash is predicted by the model estimated cross-sectionally each year at the two exchanges. (Data source: CSMAR) Supervisory Letter An indicator variable equals one if the firm receives a supervisory letter related to corporate governance issues, and zero otherwise. (Data source: CSMAR) ...
Discuss the pros and cons of k-means clustering compared to hierarchical clustering. What is the difference between classification and regression? What is a classification algorithm? What is unsupervised classification? What is rule-based classification?
While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods (see ourNature MI paper). Fast C++ implementations are supported forXGBoost,LightGBM,CatBoost,scikit-learnandpysparktree models: ...
Hence, the proposed AI solution complies with the requirement that “algorithmic decision should be explained to the human agent”. Second, the decision is not solely based on ML-algorithms. The proposed architecture includes expert knowledge. The diagnosis is taken based on exchanging arguments ...
The main advantage of SHAP values in contrast to other methods is a solid theory standing behind them. We can compute SHAP values for any model with zero knowledge of the model’s structure, and in such a general case, computational complexity would be exponential. So the computation time wou...
However, it provides a good estimate of the model’s performance on new data points. As the tuning choices have been made on the dataset through k-fold cross validation, the overall performance metrics reported for leave-one-out are not independent of the performance obtained during validation....