Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
Document Type
Event
Start Date
22-4-2026 4:00 PM
Description
The original study evaluated Apache Spark MLlib on large datasets showing that it was able to outperform Weka in speed while also achieving similar accuracy scores. Our research builds upon this work by extending the analysis to compare Apache Spark MLlib with PyTorch. We will measure training time, speed, and accuracy to compare the results of each approach on similar hardware specifications as the original test. Original tests show promise, though we have only implemented one of the datasets. We will continue to implement the following datasets and improve metrics.
Included in
GRM-05-158 Spark MLlib vs Python Frameworks
https://www.kennesaw.edu/ccse/events/computing-showcase/sp26-cday-program.php
The original study evaluated Apache Spark MLlib on large datasets showing that it was able to outperform Weka in speed while also achieving similar accuracy scores. Our research builds upon this work by extending the analysis to compare Apache Spark MLlib with PyTorch. We will measure training time, speed, and accuracy to compare the results of each approach on similar hardware specifications as the original test. Original tests show promise, though we have only implemented one of the datasets. We will continue to implement the following datasets and improve metrics.