KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Mortgage data set

Description
Files and additional references

Description

This section describes main characteristics of the mortgage data set and its attributes:

General information

Mortgage data set
Type	Regression	Origin	Real world
Features	15	(Real / Integer / Nominal)	(15 / 0 / 0)
Instances	1049	Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
1MonthCDRate	[3.02, 20.76]	DemandDeposits	[105.6, 533.0]
1Y-CMaturityRate	[77.055, 142.645]	FederalFunds	[225.8, 412.1]
3M-Rate-AuctionAverage	[6.49, 18.63]	MoneyStock	[2.86, 20.06]
3M-Rate-SecondaryMarket	[2.67, 16.75]	CheckableDeposits	[381.1, 1154.1]
3Y-CMaturityRate	[2.69, 16.76]	LoansLeases	[269.9, 803.4]
5Y-CMaturityRate	[4.09, 16.47]	SavingsDeposits	[868.1, 3550.3]
BankCredit	[4.17, 16.13]	TradeCurrencies	[175.6, 1758.1]
Currency	[1130.9, 4809.2]	30Y-CMortgageRate	[3.02, 17.15]

Additional information

This file contains the Economic data information of USA from 01/04/1980 to 02/04/2000 on a weekly basis. From given features, the goal is to predict the 30 Year-Conventional Mortgage Rate.

Files and additional references

In this section you can download some files related to the mortgage data set:

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .
This is not a native data set from the KEEL project. It has been obtained from the Bilkent University Function Approximation Repository. The original page where the data set can be found is: http://funapp.cs.bilkent.edu.tr/DataSets/.