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山丘(地形中的“凹凸”)或山谷数据集

山丘(地形中的“凹凸”)或山谷数据集

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N/A Classification

Lee Graham (lee '@' stellaralchemy.com)Franz Oppacher (oppacher '@' scs.carleton.ca)Carleton University,......

数据结构 ? 768K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Lee Graham (lee '@' stellaralchemy.com)

    Franz Oppacher (oppacher '@' scs.carleton.ca)
    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:

    (a) Hill_Valley_without_noise_Training.data
    (b) Hill_Valley_without_noise_Testing.data

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

    (c) Hill_Valley_with_noise_Training.data
    (d) Hill_Valley_with_noise_Testing.data

    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

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