Digital Commons Network^™

Ensemble Classification: An Analysis Of The Random Forest Model, Jarod Korn

Williams Honors College, Honors Research Projects

The random forest model proposed by Dr. Leo Breiman in 2001 is an ensemble machine learning method for classification prediction and regression. In the following paper, we will conduct an analysis on the random forest model with a focus on how the model works, how it is applied in software, and how it performs on a set of data. To fully understand the model, we will introduce the concept of decision trees, give a summary of the CART model, explain in detail how the random forest model operates, discuss how the model is implemented in software, demonstrate the model by …

Forecasting The Outcome Of Nfl Playoff Games: A Regression Analysis, Jack Pierpont Morgan V

UVM Patrick Leahy Honors College Senior Theses

Professional sports are one of the most consumed forms of entertainment in the world today. Professional sporting events are some of the most watched broadcasts worldwide each year. The 2022 FIFA World Cup Final garnered about 1.5 billion views worldwide, almost 20% of our planet’s population (Jones, 2023). The National Football League is the most popular professional sport in the United States. Recent polling data shows that a clear majority of the country, 72% of Americans, self-identify as football fans (“St. Bonaventure”, 2023). The NFL runs from September to February and regularly draws 15-20 million viewers weekly during …

What Fishing Tackle Should I Bring Today?: Safety Harbor Resource Collection Tools As Adaptations To Aquatic Environments, Richard J. Davis Iii

Graduate Thesis and Dissertation 2023-2024

This thesis reports on the results of research conducted to determine whether technological adaptations to local environmental conditions can be observed through geospatial and artifact analysis of Safety Harbor collections from the Tampa Bay region of Florida. Past artifact and spatial analysis did not take advantage of modern technological advancements when studying how human-environmental interactions can influence certain adaptations to local conditions. In this project, GIS was used to reconstruct local aquatic environmental conditions of waterways adjacent to Safety Harbor sites. New statistical software programs have also proven themselves useful to archaeologists seeking to conduct hypothesis testing of artifact data. …

The Employment Situation Of Veterans: December 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during December 2023.

Defensive Impact Wins: Developing A New Method To Rate Individual Defense In Nba Games, Dylan J. Stiles

Honors Theses and Capstones

With the analytics revolution in sports in the past 20 years, it seems that everything that can be quantified is. In basketball though, trying to break the game down into a set of numbers comes with a unique problem. While we've come up with a good set of advanced numbers to measure offensive efficiency, defense is fundamentally harder to quantify. The game is played five on five, but it has often been popular or convenient to model defense as a set of five one on one games. As defenses became more complex into the 2010s, this methodology became more insignificant. …

Digitalcommons@Cedarville Statistical Report For December 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

Interpretable Word-Level Sentiment Analysis With Attention-Based Multiple Instance Classification Models, Chenyu Yang

Statistical Science Theses and Dissertations

In this study, our main objective is to tackle the black-box nature of popular machine learning models in sentiment analysis and enhance model interpretability. We aim to gain more insight into the decision-making process of sentiment analysis models, which is often obscure in those complex models. To achieve this goal, we introduce two word-level sentiment analysis models.

The first model is called the attention-based multiple instance classification (AMIC) model. It combines the transparent model structure of multiple instance classification and the self-attention mechanism in deep learning to incorporate the contextual information from documents. As demonstrated by a wine review dataset …

Differentiation Of Human, Dog, And Cat Hair Fibers Using Dart Tofms And Machine Learning, Laura Ahumada, Erin R. Mcclure-Price, Chad Kwong, Edgard O. Espinoza, John Santerre

SMU Data Science Review

Hair is found in over 90% of crime scenes and has long been analyzed as trace evidence. However, recent reviews of traditional hair fiber analysis techniques, primarily morphological examination, have cast doubt on its reliability. To address these concerns, this study employed machine learning algorithms, specifically Linear Discriminant Analysis (LDA) and Random Forest, on Direct Analysis in Real Time time-of-flight mass spectra collected from human, cat, and dog hair samples. The objective was to develop a chemistry- and statistics-based classification method for unbiased taxonomic identification of hair. The results of the study showed that LDA and Random Forest were highly …

A Prompt Engineering Approach To Creating Automated Commentary For Microsoft Self-Help Documentation Metric Reports Using Chatgpt, Ryan Herrin, Luke Stodgel, Brian Raffety

SMU Data Science Review

Microsoft collects an immense amount of data from the users of their product-self-help documentation. Employees use this data to identify these self-help articles' performance trends and measure their impact on business Key Performance Indicators (KPIs). Microsoft uses various tools like Power BI and Python to analyze this data. The problem is that their analysis and findings are summarized manually. Therefore, this research will improve upon their current analysis methods by applying the latest prompt engineering practices and the power of ChatGPT's large language models (LLMs). Using VBA code, Microsoft Excel, and the ChatGPT API as an Excel add-in, this research …

Gastropod Evolutionary Phylogeny, Priscilla Doran, Neal A. Doran

Proceedings of the International Conference on Creationism

This research seeks to investigate a correlation between the first appearance order date (FAD) and predicted evolutionary phylogeny of gastropods. Using a Spearman Correlation, 17 data sets of gastropods were analyzed, with a no significant correlation found between the first appearance date and predicted evolutionary date for the fossils.

Illinois Masonic Hospital Pamphlet, 1954, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure containing statistics for the year 1954 and seeking donations. Also contains information on which departments are funded through development programs and endowments and a list of the current Board of Trustees.

Illinois Masonic Hospital Pamphlet, 1951, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure detailing the hospital's charitable missions and seeking donations and endowments.

Illinois Masonic Hospital Pamphlet, 1959, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure detailing which programs benefit from endowments and donations. Includes a list of the current Board of Trustees and a map of the hospital complex from this era.

Illinois Masonic Hospital Pamphlet, 1955, Advocate Aurora Health

Historical Documents - Combined

Illinois Masonic Hospital, Chicago, IL: Promotional brochure containing statistics for the year 1955 and information about the departments and mission of the hospital. Included is a current Board of Trustees and directory of administrative staff.

Digitalcommons@Cedarville Statistical Report For November 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

A Statistical Approach To Designing And Conducting Studies In Translation Studies (Ts), Alalddin T. Al-Tarawneh

Journal of Statistics Applications & Probability

Within Translation Studies (TS), the prevalent research method is qualitative. However, investigating the translation process and outcome has seen an increase in the importance of quantitative methods. This poses a challenge as many TS scholars lack familiarity with these techniques. This article suggests a solution by outlining an effective approach to quantitative research and emphasizing key aspects of such research to address this issue. The critical component of quantitative studies is explicit research designs, which can be created through several steps to ensure thorough and accurate results. Consideration must be given to defining the sample and population under study, as …

Translation Speed Influence On Tropical Cyclone Storm Tide And Surge Generation Along The Gulf Of Mexico Coast, Samantha L. Camarda

LSU Master's Theses

This research examines tropical cyclone translation speed as a factor in storm tide and surge height upon landfall on the United States Gulf Coast. Understanding the effect of translation speed on peak storm tide/surge height is needed to better prepare for and predict future damage from tropical cyclone events. Tropical cyclone data are taken from hourly interpolated best-track HURDAT2 data from 1970–2021. This study uses the HURDAT2 hourly interpolated observation data points (24-hours) pre-landfall to landfall. Translation speed is calculated based on the distance traversed between hourly points. Peak storm tide and storm surge data are taken from SURGEDAT from …

The Montana Supreme Court – The Statistics, Monte Cole, Adam Taub

Montana Law Review

The Montana Supreme Court is Montana’s highest court. Unlike most state court systems, Montana does not have an intermediate appellate court. The Montana Supreme Court hears direct appeals from all of the district courts across the state, as well as from the Workers’ Compensation Court and the Water Court. In keeping with the trends of recent years, the Montana Supreme Court has continued to issue more than twice the number of opinions as the United States Supreme Court. Many of these opinions become binding precedent that Montana’s legal community must keep abreast of and incorporate into their practices and scholarship. …

Employment Situation Of Veterans: October 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during October 2023.

Digitalcommons@Cedarville Statistical Report For October 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Violation Of Transgender Prisoners: The Violent Impact Of Gender Discrimination Experienced By Incarcerated Trans People In The United States Of America, Brooklyn Jennings Mx.

Access*: Interdisciplinary Journal of Student Research and Scholarship

U.S prison reform policies such as the Prison Rape Elimination Act pacify the government and the public into believing that prisons are a less harmful place for vulnerable inmates. However, thousands of transgender inmates in the United States experience extraordinary rates of violence and discrimination for their gender identity. There are difficulties in determining exact statistics of gender-based incidents of assault due to dueling structures of legal power and questionable support from prison authorities. However, from available information, trans inmates report dehumanizing prison environments that severely impact their wellbeing. This literature draws upon the current status of incarcerated trans inmates’ …

Digitalcommons@Cedarville Statistical Report For September 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: September 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during September 2023.

Bayesian Statistical Modeling Of Spatially Resolved Transcriptomics Data, Xi Jiang

Statistical Science Theses and Dissertations

Spatially resolved transcriptomics (SRT) quantifies expression levels at different spatial locations, providing a new and powerful tool to investigate novel biological insights. As experimental technologies enhance both in capacity and efficiency, there arises a growing demand for the development of analytical methodologies.

One question in SRT data analysis is to identify genes whose expressions exhibit spatially correlated patterns, called spatially variable (SV) genes. Most current methods to identify SV genes are built upon the geostatistical model with Gaussian process, which could limit the models' ability to identify complex spatial patterns. In order to overcome this challenge and capture more types …

Reu-Deim Classification Of Hispanic Voters In Hispanic Groups Using Name And Zip Code Data In Palm Beach, Florida, Kamila Soto-Ortiz

Beyond: Undergraduate Research Journal

When it comes to registering to vote, Hispanic voters can only register as “Hispanic” in the “Race/Ethnicity” category, causing difficulties when analyzing voting trends amongst the Hispanic community. Upon the recent idea that not all Hispanic Groups vote the same, the goal is to create a model that can possibly identify a voter’s Hispanic Group with the information provided on the public Florida voter file. This is accomplished using name and zip code data for all voters in Palm Beach, Florida. This paper will explore the model implemented, its findings and limitations. Palm Beach, Florida, is met with low confidence …

A View Of Poultry Production In The Americas, Michael Donohue

Proceedings of the Arkansas Nutrition Conference

The primary goal of the presentation is to share a long-term overview of how broiler production has changed over the last 35 years in areas of bird performance, production costs, particularly in the area of feed ingredient cost per lb. and illustrating how poultry nutritionists have adapted feed formulations to meet the changes in performance and cost.

Digitalcommons@Cedarville Statistical Report For August 2023, Cedarville University

DigitalCommons@Cedarville Monthly Reports

No abstract provided.

The Employment Situation Of Veterans: August 2023, Institute For Veterans And Military Families At Syracuse University

Institute for Veterans and Military Families

Veteran employment trends and statistics among various demographics during August 2023.

Towards Interpretable Machine Reading Comprehension With Mixed Effects Regression And Exploratory Prompt Analysis, Luca Del Signore

Dissertations, Theses, and Capstone Projects

We investigate the properties of natural language prompts that determine their difficulty in machine reading comprehension tasks. While much work has been done benchmarking language model performance at the task level, there is considerably less literature focused on how individual task items can contribute to interpretable evaluations of natural language understanding. Such work is essential to deepening our understanding of language models and ensuring their responsible use as a key tool in human machine communication. We perform an in depth mixed effects analysis on the behavior of three major generative language models, comparing their performance on a large reading comprehension …

Recentering Psych Stats, Lynette Bikos

Faculty Open Access Books

To center a variable in regression means to set its value at zero and interpret all other values in relation to this reference point. Regarding race and gender, researchers often center male and White at zero. Further, it is typical that research vignettes in statistics textbooks are similarly seated in a White, Western (frequently U.S.), heteronormative, framework. ReCentering Psych Stats seeks to provide statistics training for psychology students (undergraduate, graduate, and post-doctoral) in a socially and culturally responsive way. All lessons use the open-source statistics program, R (and its associated packages). Each chapter includes a screencast lesson, features a workflow …