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The SVM training is the step which needs maximum time for execution among all components of system as it trains large benchmarked data set mnist with 60,000 images.
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Due to the unavailability of benchmarking data sets, a synthetic data set is created using the uniform distribution function available in the AIMMS programming language.
Our list of data sets is far from complete; we view this list as an initial step towards building a comprehensive collection of benchmarking data sets for PH.
Models built using the combined performed better than those developed from the Benchmark data set.
We have created a new mutagenicity benchmark data set with around 8,000 compounds.
To do so, the KDD benchmark data set from the International Knowledge Discovery and Data Mining Tools Competition is employed.
We evaluated CR-OLAP on the Amazon EC2 cloud, using the TPC-DS benchmark data set.
The classification capability of this HGPNN has been validated with the VOC benchmark data set.
These data sets were introduced as a benchmark data set compilation for the evaluation of docking algorithms [33].
The presented images (I to IV and VI) come from the publicly available ECU benchmark data set [65].
After exploring several databases, we decided on a real benchmark data set, the "Optdigit" [3], for recognizing handwritten characters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com