hp2500 Goto Github PK
Name: Heinrich Peters
Type: User
Location: New York
Name: Heinrich Peters
Type: User
Location: New York
OpenML AutoML Benchmarking Framework
Data Analysis Baseline Library
Running machine learning experiments to create a portfolio classifier for dabl
Demos of a game-based intelligence assessment implemented in Minecraft / Project Malmo
Video games are a promising tool for the psychometric assessment of cognitive abilities. They can present novel task types and answer formats, they can record process data, and they can be highly motivating for test takers. This paper introduces the first game-based intelligence assessment implemented in Minecraft, an exceptionally popular video game with 176m copies sold. A matrix-based pattern completion task (PC), a mental rotation task (MR) and a spatial construction task (SC) were implemented in the three-dimensional, interactive environment of the game. PC was intended as a measure of inductive reasoning, whereas MR and SC were measures of spatial ability. We tested 129 children aged 10-12 years old on the Minecraft-based tests as well as equivalent pen-and-paper tests. All three scales fit the Rasch model and were moderately reliable. Factorial validity was good with regard to the distinction between PC and SC, but no distinct factor was found for MR. Convergent validity was good as abilities measured with Minecraft and conventional tests were highly correlated at the latent level (r= .72). Subtest-level correlations were in the moderate range. Furthermore we found that behavioral log-data collected from the game environment was highly predictive of performance in the Minecraft test and, to a lesser extent, also predicted scores in conventional tests. The results indicate that Minecraft is a suitable platform for game-based intelligence assessment and encourage future work aiming to explore game-based problem solving tasks that would not be feasible on paperor in conventional computer-based tests.
Python module to interface with OpenML
Social behaviors play a key role in the spread of COVID-19. Consequently, regional variation in personality traits that capture individual differences in these social behaviors may offer new insight into regional variation in COVID-19 cases. Here we combine self-reported personality data (N ≈ 3.5 million people), official COVID-19 prevalence rates, and behavioral observations (N ≈ 29 million people) to show that regional personality differences in the US and Germany predict the regional onset and growth of COVID-19 cases above and beyond a highly conservative set of socio-demographic, socio-economic, and pandemic-related control variables. Openness and Extraversion were consistently related to earlier COVID-19 onsets and steeper growth rates. The opposite pattern was found for Neuroticism. We also shed light on regional responses to the outbreak, showing that regional personality (i) is associated with objective indicators of regional social distancing, and (ii) predicts self-reported social distancing beyond the effects of individual-level personality.
Tools used to generate the SciPy conference proceedings
Random bot running sklearn classifiers on OpenML
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.