View Climate Model Simulation Crashes (public)
























- Summary
Given Latin hypercube samples of 18 climate model input parameter values, predict climate model simulation crashes and determine the parameter value combinations that cause the failures.
- License
- unknown (from UCI repository)
- Dependencies
- Tags
- Classification climate-model ensemble-learning libsvm sensitivity-analysis simulation-crashes UQ
- Attribute Types
- Download
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# Instances: 540 / # Attributes: 21
HDF5 (181.8 KB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
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- Original Data Format
- csv
- Name
- climate-model-simulation-crashes
- Version mldata
- 0
- Comment
CSV
- Names
- Study, Run, vconst_corr, vconst_2, vconst_3, vconst_4, vconst_5, vconst_7, ah_corr, ah_bolus,
- Data (first 10 data points)
Study ... ... ... ... ... ... ... ... ... ... 1 1 0.85... 0.92... 0.25... 0.29... 0.17... 0.73... 0.42... 0.56... ... 1 2 0.60... 0.45... 0.35... 0.30... 0.84... 0.93... 0.44... 0.82... ... 1 3 0.99... 0.37... 0.51... 0.50... 0.61... 0.60... 0.74... 0.19... ... 1 4 0.78... 0.10... 0.19... 0.42... 0.74... 0.49... 0.00... 0.39... ... 1 5 0.40... 0.51... 0.06... 0.63... 0.84... 0.44... 0.19... 0.48... ... 1 6 0.04... 0.62... 0.30... 0.81... 0.22... 0.97... 0.60... 0.64... ... 1 7 0.16... 0.54... 0.15... 0.65... 0.14... 0.79... 0.40... 0.66... ... 1 8 0.41... 0.89... 0.93... 0.91... 0.39... 0.00... 0.84... 0.68... ... 1 9 0.16... 0.35... 0.98... 0.28... 0.56... 0.40... 0.38... 0.47... ... 1 10 0.65... 0.41... 0.80... 0.16... 0.86... 0.94... 0.54... 0.42... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
(No information yet)
- URLs
- (No information yet)
- Publications
- Data Source
- Measurement Details
- Usage Scenario
- revision 1
- by ddlucas on 2013-06-18 21:22
- revision 2
- by ddlucas on 2013-06-18 22:07
- revision 3
- by ddlucas on 2013-06-18 22:08
- revision 4
- by ddlucas on 2013-06-18 22:13
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.