# Free data set for very high dimensional classification [closed]

What are the freely available data set for classification with more than 1000 features (or sample points if it contains curves)?

There is already a community wiki about free data sets: Locating freely available data samples

But here, it would be nice to have a more focused list that can be used more conveniently, also I propose the following rules:

1. One post per dataset
2. No link to set of dataset
3. each data set must be associated with

• a name (to figure out what it is about) and a link to the dataset (R datasets can be named with package name)

• the number of features (let say it is p) the size of the dataset (let say it is n) and the number of labels/class (let say it is k)

• a typical error rate from your experience (state the used algorithm in to words) or from the litterature (in this last case link the paper)

• +1, but the ones from NIPS2003 have train.labels only -- the NIPS2003 paper says clearly "validation and test set labels are withheld". Oct 24 '11 at 10:00
• Thanks. The comment about NIPS is for the answer from @mbq . Oct 24 '11 at 10:02
• Anyone here have a high dimensional dataset with more than two class labels? Nov 14 '15 at 2:48

Dorothea
n=1950
p=100000 (0.1M, half is artificially added noise)
k=2 (~10x unbalanced)
From NIPS2003.

• Can you explain how this is 100000 features? I look at the training data and each line has maybe 2500 integers per line. Jan 19 '16 at 0:03
• It is a sparse array, integer N means attribute N value is 1.
– user88
Jan 19 '16 at 14:27

Gisette
n=13500
p=5000 (half is artificially added noise)
k=2 (balanced)
From NIPS2003.

Dexter
n=2600
p=20000 (10k+53 is artificial noise)
k=2 (balanced)
From NIPS2003.

• I don't understand... one set per person?
– user88
Jul 30 '10 at 17:40
• @robin & @mbq I would suggest keeping it one dataset per post. This so people can indicate with votes which of the suggested ones there also suggest/support Jul 30 '10 at 17:59
• @Peter, OK, I follow your idea, I have changed the question accordingly. Jul 31 '10 at 6:14

Arcene
n=900
p=10000 (3k is artificially added noise)
k=2 (~balanced)
From NIPS2003.

Prostate (gene expression array)

• k=2
• n=48+52
• p=6033

Available via (among other) R package spls name of the dataset: prostate

error rate = 3/102 (see here) also I think there are paper which show 1/102 error rate. I would say this is an easy test case.