At present, it is simple to the electronic commerce credit scoring model, as a brush credit phenomenon in E-commerce has emerged. This phenomenon affects the judgment of consumers and hinders the rapid development of E-commerce. In this paper, that E-commerce credit evaluation model that uses a Gaussian density function is put forward by density test and the analysis for the anomalies of E-comm...

Technology evaluation has played a crucial role in selecting and supporting companies with innovative technology. Previous studies have focused on developing technology evaluation methods such as scorecard. However, technology credit rating is rarely applied, despite its convenient usage for technology financing. In this paper, we propose a technology credit rating system, called cross matrix, ...

With the rapid development of big data and Internet technologies, companies engaged in financial platforms collect systematize massive through their own platforms, improve credit scoring parameters use machine learning methods to conduct complex scientific assessments. Thus, banks face problems when building scoring. Based on limitations existing system personal rating, it is necessary study ra...

BACKGROUND There is increasing emphasis on performance-based assessment of clinical competence. The High Fidelity Patient Simulator (HPS) may be useful for assessment of clinical practice in anaesthesia, but needs formal evaluation of validity, reliability, feasibility and effect on learning. We set out to assess the reliability of a global rating scale for scoring simulator performance in cris...

Previous approaches for automated essay scoring (AES) learn a rating model by minimizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this paper, we argue that the current AES systems can be further improved by taking into account the agreement between human and machine raters. To this end, we propose a rankbased approach t...

INTRODUCTION During the past decades several rating scales have been developed to assess the functional status of patients with low back pain. METHODS We performed a search using the keywords 'spine' in combination with 'scoring system', 'scale', 'scores', 'outcome assessment', 'low back pain' and 'clinical evaluation'. RESULTS Twenty-eight scoring systems are currently available for the ev...

The results in sixteen patients who had a displaced, comminuted intra-articular fracture of the distal end of the radius and who were treated by open reduction and internal fixation were retrospectively reviewed. At a mean follow-up of 4.8 years, 81 per cent of the patients had a rating of good or excellent by the scoring system of Gartland and Werley, but only 56 per cent had such a rating whe...

A bipolar rating scale is a linearly ordered set with symmetry between elements considered as negative and positive categories. First, we present a survey of bipolar rating scales used in psychology, sociology, medicine, recommender systems, opinion mining, and sentiment analysis. We discuss different particular cases of bipolar scales and, in particular, typical structures of bipolar scales wi...

This report is in the public domain. Permission to reproduce is not necessary. Overview This Brief compares three hypothetical Quality Rating and Improvement Systems (QRIS) that use different rating structures: block, points, and hybrid. Because the quality standards in the hypothetical QRIS are held relatively constant across structures, analyses can be conducted to determine how structure rel...

We report two new approaches for building scoring models used by automated speech scoring systems. First, we introduce the Cumulative Logit Model (CLM), which has been widely used in modeling categorical outcomes in statistics. On a large set of responses to an English proficiency test, we systematically compare the CLM with two other scoring models that have been widely used, i.e., linear regr...