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mlp_classifier_susy's Introduction

Data visualization and MLP classifier

Simple MLP classifier for particles in a specific detector (data set from http://archive.ics.uci.edu/ml/datasets/SUSY).

ABSTRACT

This is a classification problem to distinguish between a signal process which produces supersymmetric particles and a background process which does not.

Results

Examples of data visualization:

sign1

sign2

Multi-layer Perceptron Classifier:

less is better:

  • hidden_layer_sizes=(11,11,11,11,11)
  • learning_rate_init = 0.05

AUC = 0.73+-0.12 (k-fold k=5)

  • hidden_layer_sizes=(10,10,10)
  • learning_rate_init = 0.05

AUC: 0.792+-0.002 (k-fold k=5)

Authors

  • Yuri Muller Plumm Gomes

References:

  • Baldi, P., P. Sadowski, and D. Whiteson. “Searching for Exotic Particles in High-energy Physics with Deep Learning.” Nature Communications 5 (July 2, 2014)

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