Login to your profile!

No account? sign up!

MiniBooNE-PID

MiniBooNE-PID     (Machine Learning Data)

Download data

This data set is in the collection of Machine Learning Data

   Download miniboone-pid

MiniBooNE-PID is 87MB compressed!

Visualize and interactively analyze MiniBooNE-PID and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.

Metadata

NameMiniBooNE particle identification
Data typesMultivariate
Data taskClassification
Attribute typesReal
Instances130065
Attributes50
Year2010
AreaPhysical
DescriptionThis dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background).

 Acknowledgements & Citation Policy

Please cite the following if you use the data:

@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}
}

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.

Interactive Visualization of Machine Learning Data

Tools for Interactive Exploration of ML Data

Visualize and interactively explore MiniBooNE-PID 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.