On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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5 results for “CHAID”

An Automatic Interaction Detection Hybrid Model for Bankcard Response Classificationstat.ML

A hybrid model improves bankcard response classification accuracy.

problem Bankcard response classification accuracy improvement.

method CHAID for interaction detection in logistic regression.

result The hybrid model outperforms logistic regression in classification accuracy.

bankcard response classification accuracy interaction detection logistic regression CHAID

2019-01-02abs ↗pdf ↗

Using Financial Ratios to Identify Romanian Distressed Companiesq-fin.PM

In the context of the current financial crisis, when more companies are facing bankruptcy or insolvency, the paper aims to find methods to identify distressed firms by using financial ratios. The study will focus on identifying a group of Romanian listed companies, for which financial data for the year 2008 were availa…

2010-01-09abs ↗pdf ↗

Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Modelphysics.med-ph

Study improves CAD diagnosis accuracy by selecting significant features.

problem Improving accuracy of CAD diagnosis through feature selection.

method Integrated machine learning approach using random trees (RTs), C5.0, SVM, and CHAID.

result Random trees model outperforms other models in CAD diagnosis.

CAD diagnosis feature selection random trees machine learning medical imaging

2020-01-16abs ↗pdf ↗

Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networksstat.ML

Study predicts academic achievement using students' support networks.

problem Predicting academic achievement in college students.

method Decision tree and random forest algorithms applied to Ties data.

result Different types of support are important for different demographics and genders.

academic achievement support networks college students decision trees random forests

2021-08-31abs ↗pdf ↗

Protein Classification using Machine Learning and Statistical Techniques: A Comparative Analysiscs.LG

Article compares different machine learning techniques for protein classification.

problem Predicting enzyme class from unknown proteins is challenging.

method Implemented seven classification techniques on 4368 protein data.

result C5.0 classification technique gives highest accuracy and balanced performance.

protein classification machine learning bioinformatics enzyme prediction feature selection

2019-01-18abs ↗pdf ↗