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The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit
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.
2011 Reading habits
Based on omnibus survey containing questions on people's Facebook habits and attitudes.
100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits.
David Gil, dgil '@' dtic.ua.es, Lucentia Research Group, Department of Computer Technology, University of Alicante
Jose Luis Girela, girela '@' ua.es, Department of Biotechnology, University of Alicante
This dataset tries to predict whether a hepatitis patient will live or die
The data featured here are mainly from Harbour City Ferries (formerly Sydney Ferries). We have also added statistics and publications about ferry usage from other BTS collections such as the Household Travel Survey.
Harbour City Ferries compiles data on patronage and ticket validations. The Ferry Load Census data are now available and are provided by wharf and route. These are based on a week-long census of ferry services conducted in May and November of each year. Users should note that these two periods do not represent the lowest and highest figures, which are known to occur in June and December.
Ticket Validations Data, to be made available later, are based on actual validations at Circular Quay. Ferry Patronage data, estimated from both the Ferry Load Census and Ticket Validations data are now available.
Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age. 6 Attributes:
BI-RADS assessment: 1 to 5 (ordinal, non-predictive!) - Age: patient's age in years (integer)
Shape: mass shape: round=1 oval=2 lobular=3 irregular=4 (nominal) - Margin: mass margin: circumscribed=1 microlobulated=2 obscured=3 ill-defined=4 spiculated=5 (nominal)
Density: mass density high=1 iso=2 low=3 fat-containing=4 (ordinal)
Severity: benign=0 or malignant=1 (binominal, goal field!)
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