Computer Hardware
Donated on 9/30/1987
Relative CPU Performance Data, described in terms of its cycle time, memory size, etc.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Integer
# Instances
209
# Features
10
Dataset Information
Additional Information
The estimated relative performance values were estimated by the authors using a linear regression method. See their article (pp 308-313) for more details on how the relative performance values were set.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| VendorName | Feature | Categorical | (adviser, amdahl,apollo, basf, bti, burroughs, c.r.d, cambex, cdc, dec, dg, formation, four-phase, gould, honeywell, hp, ibm, ipl, magnuson, microdata, nas, ncr, nixdorf, perkin-elmer, prime, siemens, sperry, sratus, wang) | no | |
| ModelName | Feature | Categorical | many unique symbols | no | |
| MYCT | Feature | Integer | machine cycle time | nanoseconds | no |
| MMIN | Feature | Integer | minimum main memory | kilobytes | no |
| MMAX | Feature | Integer | maximum main memory | kilobytes | no |
| CACH | Feature | Integer | cache memory | kilobytes | no |
| CHMIN | Feature | Integer | minimum channels | units | no |
| CHMAX | Feature | Integer | maximum channels | units | no |
| PRP | Feature | Integer | published relative performance | no | |
| ERP | Feature | Integer | estimated relative performance from the original article | no |
0 to 10 of 10
Additional Variable Information
1. vendor name: 30 (adviser, amdahl,apollo, basf, bti, burroughs, c.r.d, cambex, cdc, dec, dg, formation, four-phase, gould, honeywell, hp, ibm, ipl, magnuson, microdata, nas, ncr, nixdorf, perkin-elmer, prime, siemens, sperry, sratus, wang) 2. Model Name: many unique symbols 3. MYCT: machine cycle time in nanoseconds (integer) 4. MMIN: minimum main memory in kilobytes (integer) 5. MMAX: maximum main memory in kilobytes (integer) 6. CACH: cache memory in kilobytes (integer) 7. CHMIN: minimum channels in units (integer) 8. CHMAX: maximum channels in units (integer) 9. PRP: published relative performance (integer) 10. ERP: estimated relative performance from the original article (integer)
Dataset Files
| File | Size |
|---|---|
| machine.data | 8.5 KB |
| machine.names | 2.8 KB |
| Index | 122 Bytes |
Papers Citing this Dataset
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By Massimiliano Pasini, Junqi Yin, Ying Li, Markus Eisenbach. 2019
Published in ArXiv.
By Sauptik Dhar, Vladimir Cherkassky. 2016
Published in ArXiv.
0 to 2 of 2
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset computer_hardware = fetch_ucirepo(id=29) # data (as pandas dataframes) X = computer_hardware.data.features y = computer_hardware.data.targets # metadata print(computer_hardware.metadata) # variable information print(computer_hardware.variables)
Feldmesser, J. (1987). Computer Hardware [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5830D.
Creators
Jacob Feldmesser
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.