evtree (version 1.0-2)

MAGICGammaTelescope: MAGIC Gamma Telescope

Description

The data was generated to simulate registration of high energy gamma particles in a Major Atmospheric Gamma-Ray Imaging Cherenkov (MAGIC) Gamma Telescope. The task is to distinguish gamma rays (signal) from hadronic showers (background).

Usage

data("MAGICGammaTelescope")

Arguments

Format

A data frame containing 19,020 observations on 11 variables.

Source

The original data was provided by: R. K. Bock, Major Atmospheric Gamma Imaging Cherenkov Telescope project (MAGIC), rkb '@' mail.cern.ch, https://magic.mppmu.mpg.de/ and was donated by: P. Savicky, Institute of Computer Science, AS of CR, Czech Republic, savicky '@' cs.cas.cz The dataset has been taken from the UCI Repository Of Machine Learning Databases at http://archive.ics.uci.edu/ml/.

Details

Classifying a background event as signal is worse than classifying a signal event as background. For a meaningful comparison of different classifiers the use of an ROC curve with thresholds 0.01, 0.02, 0.05, 0.1, 0.2 is suggested.

References

Bock, R.K., Chilingarian, A., Gaug, M., Hakl, F., Hengstebeck, T., Jirina, M., Klaschka, J., Kotrc, E., Savicky, P., Towers, S., Vaicilius, A., Wittek W. (2004). Methods for Multidimensional event Classification: a Case Study Using Images From a Cherenkov Gamma-Ray Telescope. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 516(1), 511--528.

P. Savicky, E. Kotrc (2004). Experimental Study of Leaf Confidences for Random Forest. In Proceedings of COMPSTAT, pp. 1767--1774. Physica Verlag, Heidelberg, Germany.

J. Dvorak, P. Savicky (2007). Softening Splits in Decision Trees Using Simulated Annealing. In Proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, Part I, pp. 721--729, Springer-Verlag, New-York.

Examples

Run this code
data("MAGICGammaTelescope")
summary(MAGICGammaTelescope)
## Not run: 
# set.seed(1090)
# mgtt <- evtree(class ~ . , data = MAGICGammaTelescope) 
# mgtt
# table(predict(mgtt), MAGICGammaTelescope$class)
# plot(mgtt)
# ## End(Not run)

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