pop-failures (Machine Learning Data)
Download data
This data set is in the collection of Machine Learning Data
pop-failures is
244KB compressed!Visualize and interactively analyze pop-failures and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.
Metadata
| Name | Climate Model Simulation Crashes |
| Data types | Multivariate |
| Data task | Classification |
| Attribute types | Real |
| Instances | 540 |
| Attributes | 18 |
| Year | 2013 |
| Area | Physical |
| Description | 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. |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={AAAI},
url={https://networkrepository.com},
year={2015}
}
@ Name = Climate Model Simulation CrashesData types = MultivariateData task = ClassificationAttribute types = RealInstances = 540Attributes = 18Year = 2013Area = PhysicalDescription = 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.,
Interactive Visualization of Machine Learning Data
Tools for Interactive Exploration of ML Data
Visualize and interactively explore pop-failures and its important statistics!
- A subset of interesting data points may be selected. To select a subset of data points, hold down the left mouse button while dragging the mouse in any direction until the data points of interest are highlighted.This feature allows users to explore and analyze various subsets of data points to gain insights
- Zoom in/out on the visualization you created at any point by using the buttons below on the left.
- Once a subset of interesting data points are selected, the user may further analyze by selecting and drilling down on any of the interesting attributes using the left menu below.
- We also have tools for interactively visualizing, comparing, and exploring the data and statistics.