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Register a new userExplaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations
شرح تنبؤات شجرة القرار من خلال معالجة النزاعات المحتملة بين التوقعات والتوقعات المعقولة
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نحن نقدم نهجا لشرح تنبؤات شجرة القرار (DT) من خلال معالجة النزاعات المحتملة بين جوانب هذه التنبؤات والتوقعات المعقولة المرخصة من المعلومات الأساسية.نحن نحدد أربعة أنواع من النزاعات، وتفعيل هويتها، وتحديد مخططات توضيحية تعالجها.ركز تقييمنا البشري على تأثير التفسيرات المتعلقة بفهم المستخدمين لسبب DT واستعدادهم للعمل على تنبؤاتها.تظهر النتائج أن التفسيرات (1) تفسيرات التي تعالج النزاعات المحتملة تعتبر على الأقل جيدة مثل التفسيرات الأساسية التي تتبع مسار DT فقط؛و (2) يتم اعتبار التفسيرات القائمة على النزاعات قيمة خاصة عندما لا توافق توقعات المستخدمين في توقعات DT.
We offer an approach to explain Decision Tree (DT) predictions by addressing potential conflicts between aspects of these predictions and plausible expectations licensed by background information. We define four types of conflicts, operationalize their identification, and specify explanatory schemas that address them. Our human evaluation focused on the effect of explanations on users' understanding of a DT's reasoning and their willingness to act on its predictions. The results show that (1) explanations that address potential conflicts are considered at least as good as baseline explanations that just follow a DT path; and (2) the conflict-based explanations are deemed especially valuable when users' expectations disagree with the DT's predictions.
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