Partial dependency plots
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In this study, a machine learning model, namely LightGBM, is developed to predict rubberized concrete's compressive strength (CS) using 11 input parameters. The model's performance is measured using several different statistical criteria after being trained on a dataset containing 275 samples.
18p visharma 20-10-2023 9 4 Download
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Continued part 1, part 2 of ebook "Interpretable machine learning: A guide for making black box models explainable" provides readers with contents including: model-agnostic methods; example-based explanations; a look into the crystal ball; partial dependence plot (PDP); individual conditional expectation (ICE); accumulated local effects (ALE) plot; counterfactual explanations; adversarial examples; prototypes and criticisms;...
169p tieulangtran 28-09-2023 5 3 Download