Hill-Valley
Donated on 3/19/2008
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).
Dataset Characteristics
Sequential
Subject Area
Other
Associated Tasks
Classification
Feature Type
Real
# Instances
606
# Features
101
Dataset Information
Additional 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.
Has Missing Values?
No
Variable Information
1-100: Labeled “X##”. Floating point values (numeric) 101: Labeled “class”. Binary {0, 1} representing {valley, hill}
Dataset Files
File | Size |
---|---|
Hill_Valley_without_noise_Testing.data | 705.8 KB |
Hill_Valley_without_noise_Training.data | 705.8 KB |
Hill_Valley_with_noise_Testing.data | 411 KB |
Hill_Valley_with_noise_Training.data | 407.6 KB |
Hill_Valley_visual_examples.jpg | 50.6 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset hill_valley = fetch_ucirepo(id=166) # data (as pandas dataframes) X = hill_valley.data.features y = hill_valley.data.targets # metadata print(hill_valley.metadata) # variable information print(hill_valley.variables)
Graham, L. & Oppacher, F. (2008). Hill-Valley [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5JC8P.
Creators
Lee Graham
Franz Oppacher
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.