InTowards Data SciencebySamy BaladramPredicted Probability, Explained: A Visual Guide with Code Examples for Beginners7 basic classifiers reveal their prediction confidence math4d ago4
InDataman in AIbyChris Kuo/Dr. DatamanExplain Your Model with the SHAP ValuesUse the SHAP Values to Explain Any Complex ML ModelSep 14, 201937
Future Tech FeedUnderstanding the Dichotomy: Local vs. Global Explanations in XAIIn the realm of Explainable Artificial Intelligence (XAI), there exists a crucial dichotomy that aids in dissecting and comprehending model…Dec 28, 2023Dec 28, 2023
InTowards Data SciencebySamuele MazzantiBlack-Box models are actually more explainable than a Logistic RegressionSHAP values are not comprehensible. But, starting from them, it is possible to express a model choices in terms of impact on probability…Sep 21, 201911Sep 21, 201911
Chidiebere Vincent ChristopherUnderstanding Linear Equation for Linear Machine Learning ModelsIn this article, we will explore the relevance of linear equation as it helps interpret linear models.Dec 3, 2023Dec 3, 2023
InTowards Data SciencebySamy BaladramPredicted Probability, Explained: A Visual Guide with Code Examples for Beginners7 basic classifiers reveal their prediction confidence math4d ago4
InDataman in AIbyChris Kuo/Dr. DatamanExplain Your Model with the SHAP ValuesUse the SHAP Values to Explain Any Complex ML ModelSep 14, 201937
Future Tech FeedUnderstanding the Dichotomy: Local vs. Global Explanations in XAIIn the realm of Explainable Artificial Intelligence (XAI), there exists a crucial dichotomy that aids in dissecting and comprehending model…Dec 28, 2023
InTowards Data SciencebySamuele MazzantiBlack-Box models are actually more explainable than a Logistic RegressionSHAP values are not comprehensible. But, starting from them, it is possible to express a model choices in terms of impact on probability…Sep 21, 201911
Chidiebere Vincent ChristopherUnderstanding Linear Equation for Linear Machine Learning ModelsIn this article, we will explore the relevance of linear equation as it helps interpret linear models.Dec 3, 2023
Lucas RamosVisualizing variable importance using SHAP and cross-validationWe have all seen how amazing and insightful SHAP explanations can be. Though, when writing a scientific paper or any other situation that…Jun 26, 20201
Thiyaneshwaran GCan your Model be Interpreted ?Here is the story that talks about a Library called Lime that helps to interpret the Model.Dec 30, 2022
Tia PlagataInterpreting the Root Mean Squared Error of a Linear Regression ModelWhat does a Root Mean Squared Error of 0.3 even mean? How can I transform that metric back to USD after having scaled my data?Nov 6, 20201
