As you can see from this example, kNN is a very intuitive algorithm, making it easy to explain how the predictions were made. Thus, it is in contrast to other classification and regression algorithms such as RandomForest or XGBoost.One final thing to add, the explanation abo...
19 International The student's status as an international student. (Categorical) 20 Curricular units 1st sem (credited) The student credited the number of curricular units in the first semester. (Numerical) 21 Curricular units 1st sem (enrolled) The student enrolled in the number of curricular un...
Cost of Explainability in AI: An Example with Credit Scoring Models 509 4.2 Statistical Analysis For the statistical analysis results, we refer to the AUROC metric from the discriminatory power analysis performed under the regulatory requirements. 4.3 Financial Analysis We evaluate the performance of ...
will generate an OpenTelemetry span with the span name of Reindexer.OpenNamespace and with span attributes like this:rx.dsn: cproto://user:pass@127.0.0.1:6534/testdb rx.ns: itemsUse opentelemetry-go in your client go application to export the information externally. For example, as a ...
1d). As a result, we can explain an inferred trajectory from a branch node to a leaf node (outcome) in terms of the impact of a drug on biological pathways. For example, an inferred trajectory from a branch node 1 to a leaf node 1 can be explained by the drug-induced activation of...
FCNN-example -> overfit to a given single image to detect houses SAT2LOD2 -> an open-source, python-based GUI-enabled software that takes the satellite images as inputs and returns LoD2 building models as outputs SatFootprint -> building segmentation on the Spacenet 7 dataset Building-...
For example, the addition of W (tungsten) to the Cr–Mo steel would promote the formation of tungsten carbide and therefore improve the creep strength. As a result, each alloying element would be treated as a feature and estimated by different models. Heat treatment could change the ...
We can use a Gaussian kernel or an adaptive kernel on the KNNs to preserve local distances and encode longer trajectory structures. Similar to preprocessing steps in t-SNE and UMAP, the most suitable kernel bandwidth can be estimated using a binary search on the nearest neighbor distances (e....
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting in-hospital mortality in COVID-19 patients with AKI (AKI-COV score). This was a cross-sectional multicentre pro...
However, our use of this dataset for the purpose of an illustrative example of the comparative classification ability of our ensemble classifier is still valid. For this illustration, we applied five classification algorithms to these high-dimensional data and our proposed ensemble classifier with the...