The 2008-09 nine-month academic salary for Assistant Professors, Associate Professors and Professors in a college in the U.S. The data were collected as part of the on-going effort of the college's administration to monitor salary differences between male and female faculty members.

Fox J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition Sage.

Description

The objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet. The character images were based on 20 different fonts and each letter within these 20 fonts was randomly distorted to produce a file of 20,000 unique stimuli. Each stimulus was converted into 16 primitive numerical attributes (statistical moments and edge counts) which were then scaled to fit into a range of integer values from 0 through 15. We typically train on the first 16000 items and then use the resulting model to predict the letter category for the remaining 4000. See the article cited above for more details.

Attribute Information:
letter - capital letter (26 values from A to Z)
x-box - horizontal position of box (integer)
y-box - vertical position of box (integer)
width - width of box (integer)
high - height of box (integer)
onpix - total # on pixels (integer)
x-bar - mean x of on pixels in box (integer)
y-bar - mean y of on pixels in box (integer)
x2bar - mean x variance (integer)
y2bar - mean y variance (integer)
xybar - mean x y correlation (integer)
x2ybr - mean of x * x * y (integer)
xy2br - mean of x * y * y (integer)
x-ege - mean edge count left to right (integer)
xegvy - correlation of x-ege with y (integer)
y-ege - mean edge count bottom to top (integer)
yegvx - correlation of y-ege with x (integer)

Source

Letter Image Recognition Data from Delve datasets and UCI

Listings data from the last 1yr, updated on 2013/03/12.

This dataset contains the Prosper Listings data for non-active loans over the last 1yr as listed in the Prosper marketplace.

Prosper, a peer-to-peer lending marketplace, makes their loan data available to the public. One of the tables in this data is the Listing data, which contains details about every loan request submitted to the Prosper marketplace.

This dataset was created by:

- Downloading the Prosper data as a daily diff.

Merging with a local database to create an up-to-date copy of the latest data. - Filtering the Listings table for entries with Status!="Active" and StartDate > 1yr ago.

Uploading to BigML and creating the dataset.

For a description of the fields in this dataset see Prosper Data Export Definition

eCommerce problem from Tatvic blog

Train file: 2133 rows

Source

Dataset at Tatvic blog post

ExtListings data from the last all, updated on 2013/03/12.

This dataset contains the Prosper data for all "Completed" Listings, that is listings that became funded loans, joined with the "Status" from the Loans table.

Prosper, a peer-to-peer lending marketplace, makes their loan data available to the public. One of the tables in this data is the Listing data, which contains details about every loan request submitted to the Prosper marketplace. Listings that were successfully funded (Status = Completed) become loans which are tracked in the "Loans" table. This dataset joins the completed listings with the Loans table.

This dataset was created by:

- Downloading the Prosper data as a daily diff.

Merging with a local database to create an up-to-date copy of the latest data. - Filtering the Listings table for entries with Status=="Completed".

Using the Listings.Key == Loans.ListingKey to join the Status from the Loans table.

Uploading to BigML and creating the dataset.

For a description of the fields in this dataset see Prosper Data Export Definition

Kaggle Higgs Boson Machine Learning Challenge

Source

Kaggle Challenge

American Colleges and Universities

Source

mathforum.org datasets

Listings data from the last 1yr, updated on 2013/02/05.

This dataset contains the Prosper Listings data for non-active loans over the last 1yr as listed in the Prosper marketplace.

Prosper, a peer-to-peer lending marketplace, makes their loan data available to the public. One of the tables in this data is the Listing data, which contains details about every loan request submitted to the Prosper marketplace.

This dataset was created by:

- Downloading the Prosper data as a daily diff.

Merging with a local database to create an up-to-date copy of the latest data. - Filtering the Listings table for entries with Status!="Active" and StartDate > 1yr ago.

Uploading to BigML and creating the dataset.

For a description of the fields in this dataset see Prosper Data Export Definition

eCommerce problem from Tatvic blog

Test file: 425 rows

Source

Dataset at Tatvic blog post