Reproducibility and Replicability of Web Measurement Studies

Last update: Dec 31, 2022

Overview

Reproducibility and Replicability of Web Measurement Studies

This repository holds additional material to the paper "Reproducibility and Replicability of Web Measurement Studies" submitted to the ACM Web Conference 2022.

The repository is organized as follows:

In 01_Plots, one finds all codes and the underlying data used to produce the plots in the paper
In 02_Data, we provide a link to the raw measurement results.
In 03_Framework, one can find the framework we used for our measurement study.
In 04_Paper_Survey, we provide a listing of all analyzed papers.
Finally, in 05_misc, we provide further data (e.g., the used EasyList, list of visited pages).

Owner

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Reproducibility and Replicability of Web Measurement Studies

Related tags

Overview

Reproducibility and Replicability of Web Measurement Studies

Owner

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Projeto: Machine Learning: Linguagens de Programacao 2004-2001

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

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Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

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Primitives for machine learning and data science.