Trains

Donated on 6/23/1994

2 data formats (structured, one-instance-per-line)

Dataset Characteristics

Multivariate

Subject Area

Other

Associated Tasks

Classification

Feature Type

Categorical

# Instances

10

# Features

-

Dataset Information

Additional Information

Notes: - Additional "background" knowledge is supplied that provides a partial ordering on some of the attribute values. - We are providing this dataset both in its original form and in a form similar to the more typical propositional datasets in our repository. Since the trains dataset records relations between attributes, this transformation was somewhat challenging. However, it may shed some insight on this problem for people who are more familiar with the simple one-instance-per-line dataset format. Hierarchy of values: if (cshape is one of {openrect,opentrap,ushaped,dblopnrect} then cshape is opentop if (cshape is one of {hexagon,ellipse,closedrect,jaggedtop,slopetop, engine} then cshape closedtop Prediction task: Determine concise decision rules distinguishing trains traveling east from those traveling west.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 32

Additional Variable Information

The following format was used for the "transformed" dataset representation as found in trains.transformed.data (one instance per line): 1. Number_of_cars (integer in [3-5]) 2. Number_of_different_loads (integer in [1-4]) 3-22: 5 attributes for each of cars 2 through 5: (20 attributes total) - num_wheels (integer in [2-3]) - length (short or long) - shape (closedrect, dblopnrect, ellipse, engine, hexagon, jaggedtop, openrect, opentrap, slopetop, ushaped) - num_loads (integer in [0-3]) - load_shape (circlelod, hexagonlod, rectanglod, trianglod) 23-32: 10 Boolean attributes describing whether 2 types of loads are on adjacent cars of the train - Rectangle_next_to_rectangle (0 if false, 1 if true) - Rectangle_next_to_triangle (0 if false, 1 if true) - Rectangle_next_to_hexagon (0 if false, 1 if true) - Rectangle_next_to_circle (0 if false, 1 if true) - Triangle_next_to_triangle (0 if false, 1 if true) - Triangle_next_to_hexagon (0 if false, 1 if true) - Triangle_next_to_circle (0 if false, 1 if true) - Hexagon_next_to_hexagon (0 if false, 1 if true) - Hexagon_next_to_circle (0 if false, 1 if true) - Circle_next_to_circle (0 if false, 1 if true) 33. Class attribute (east or west) The number of cars vary between 3 and 5. Therefore, attributes referring to properties of cars that do not exist (such as the 5 attriubutes for the "5th" car when the train has fewer than 5 cars) are assigned a value of "-".

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
0 citations
13978 views

Creators

Ryszard Michalski

Robert Stepp

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy