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Data Preview ? 768K

    Data Structure ?


    Lee Graham (lee '@'

    Franz Oppacher (oppacher '@'
    Carleton University, Department of Computer Science
    Intelligent Systems Research Unit
    1125 Colonel By Drive, Ottawa, Ontario, Canada, K1S5B6

    Data Set Information:

    Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a “bump” in the terrain) or a Valley (a “dip” in the terrain).

    There are six files, as follows:


    These first two datasets (without noise) are a training/testing set pair where the hills or valleys have a smooth transition.


    These next two datasets (with noise) are a training/testing set pair where the terrain is uneven, and the hill or valley is not as obvious when viewed closely.

    (e) Hill_Valley_sample_arff.text

    The sample ARFF file is useful for setting up experiments, but is not necessary.

    (f) Hill_Valley_visual_examples.jpg

    This graphic file shows two example instances from the data.

    Attribute Information:

    1-100: Labeled “X##”. Floating point values (numeric)
    101: Labeled “class”. Binary {0, 1} representing {valley, hill}

    Relevant Papers:

    1. Non-published. evaluation of dataset by various learning algorithms in the Waikato Environment for Knowledge Analysis (WEKA).

    Citation Request:

    Please refer to the Machine Learning Repository's citation policy