Interpretability and accuracy
Trading off interpretability and accuracy of prediction models: Lasso vs. forward stagewise regression
... take interpretability as well as predictive accuracy into ...between accuracy and interpretability needs to be balanced to create models that have enough predictive power, but are easy enough ...
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Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds
... model interpretability and uncertainty, that are important if such methods are to be used for planning and manage- ment ...predictive accuracy, error structure and bias, model interpretability, and ...
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On the Capability of a Fuzzy Inference System with Improved Interpretability
... with interpretability and accuracy from learning data based on meta-heuristic ...Since accuracy and interpretability are contradicting issues, there are some disadvantages for self-tuning ...
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Where do patients with MRI-confirmed single-level radiculopathy experience pain, and what is the clinical interpretability of these pain patterns? A cross-sectional diagnostic accuracy study
... The proportion of pain charts that were correctly clas- sified by clinicians as being either from a patient with an L5 or S1 nerve root irritation was approximately that ex- pected by chance (54.4 to 54.8%). The ...
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DALEX: Explainers for Complex Predictive Models in R
... It is believed that there is a trade-off between the interpretability and accuracy of a model (see Johansson et al., 2011). It comes from the observation that the most elastic models usually have higher ...
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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
... chosen randomly from all of the entities, and 2) in- correct triples in the form of hs 0 , r 0 , oi where s 0 and r 0 are chosen randomly. We choose 100 random triples from the observed graph, and for each of them, add ...
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Re Ranking Words to Improve Interpretability of Automatically Generated Topics
... This paper compares several word ranking methods and evaluate them using two approaches. The first approach is based on a crowdsourcing task in which participants are provided with a document and a list of topics then ...
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Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
... state-of-the-art accuracy. However, to produce recommendations at the expected accuracy they require that items are rated by a sufficient number of ...
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Accuracy and interpretability trade-offs in machine learning applied to safer gambling
... Responsible gambling is an area of research and industry which seeks to understand the pathways to harm from gambling and implement programmes to reduce or prevent harm that gambling might cause. There is a growing body ...
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SIP-FS: a novel feature selection for data representation
... and interpretability from a set of distinct features for a comprehensive data ...prediction accuracy) of selected results yet neglect ...and interpretability without sacrificing predictability ...
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Towards Efficient Named Entity Rule Induction for Customizability
... state-of-the-art accuracy with further domain ...reasonable accuracy, that are in- terpretable and thus can be easily refined by a human ...the interpretability of an extractor, and study the effect ...
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On the interpretability of machine learning-based model for predicting hypertension
... Although many predictive models have been devel- oped to predict the risk of hypertension [16–18], the frameworks for establishing trust and confidence for these predictions have been always missing. Thus, there has been ...
32
Patient-Provider Interaction: A Communication Accommodation Theory Perspective
... Given the importance of, yet inattention to, nonverbal communication in patient-provider interactions (Finset, 2007; Giles & Wadleigh, 2008; Mast, 2007), D’Agostino and Bylund (2011) sought to apply and evaluate ...
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WEB BASED JAW PATHOLOGY USING IMAGE PROCESSING
... In the Image Preprocessing stage[8], Image enhancement is done to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image ...
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In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics
... This method of assessing topic quality employs formal approaches and measures to assess the interpretability of statistical topics, generally through crowdsourcing. While aggregat- ing the results of crowdsourced ...
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Comparative Study of Various Enhancement Techniques for Finger Print Images
... While there are many biometric systems in the market, the aim of biometric systems, image enhancement is to improve the interpretability or perception of information in images for hum[r] ...
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SEGMENTATION OF HISTOPATHOLOGICAL IMAGES USING FAST FUZZY C-MEANS APPROACH
... Segmentation accuracy determines the success and failure of histopathological application. The count of the mitotic cells is an important part of the cancer grading system. Segmentation of mitotic cells from the ...
5
Privacy Preserving Fuzzy Modeling for Secure Multiparty Computation
... In this paper, we proposed a learning method(fuzzy mod- eling) of fuzzy inference system for SMC and proved the validity of it. Further, the performance of the proposed method was shown in numerical simulations. The ...
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Volume 2, Issue 8, August 2013 Page 276
... the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques ...
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Practical considerations to guide development of access controls and decision support for genetic information in electronic medical records
... The factors described above that are relevant to how EMR systems present genetic testing results are arguably not unique to genetic tests. However, as health care sys- tems adopt electronic medical records (EMRs) that ...
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