Mulan Files

Brought to you by: stevelaskaridis, tsoumakas

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
Parent folder
scm1d-train.zip	2014-10-28	5.5 MB	1
scm1d-test.zip	2014-10-28	1.2 MB	0
scm20d-train.zip	2014-10-28	1.5 MB	0
scm20d-test.zip	2014-10-28	325.7 kB	0
atp7d.arff	2014-09-12	997.6 kB	0
atp1d.arff	2014-09-12	1.1 MB	0
water-quality.arff	2013-03-06	316.2 kB	0
rf2-train.arff	2013-03-06	16.8 MB	0
rf2-test.arff	2013-03-06	20.5 MB	0
rf1-train.arff	2013-03-06	2.1 MB	0
rf1-test.arff	2013-03-06	2.5 MB	0
oes97.arff	2013-03-06	559.6 kB	1
edm.arff	2013-03-06	14.1 kB	0
flare1.arff	2013-03-06	15.9 kB	0
flare2.arff	2013-03-06	44.9 kB	0
oes10.arff	2013-03-06	727.1 kB	0
atp7d-test.arff	2013-03-06	213.8 kB	0
atp7d-train.arff	2013-03-06	798.6 kB	0
atp1d-train.arff	2013-03-06	852.8 kB	0
atp1d-test.arff	2013-03-06	266.0 kB	0
Totals: 20 Items		56.4 MB	2

Other Useful Business Software

Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.

Start Free

Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

Try free now

Recommended Projects

MEKA
Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
Java Machine Learning Library
Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
Multi-Core WekaExtension for RapidMiner
This is a RapidMiner extension replacing the current Weka-Plugin with the updated 3.7.3 Weka-Version. This is basically a branch of the 3.7.3 Version of WEKA wrapped into the old extension. New Features Include: -All the Features of the 3.7.3 Weka Package -Multi-Threaded ensemble...
Weka
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
TensorFlow Ranking
TensorFlow Ranking is a library for Learning-to-Rank (LTR) techniques on the TensorFlow platform. Commonly used loss functions including pointwise, pairwise, and listwise losses. Commonly used ranking metrics like Mean Reciprocal Rank (MRR) and Normalized Discounted Cumulative Gain (NDCG)....

Mulan Files

Get an email when there's a new version of Mulan