Data Sets and Models

Kacper Sokol

Data Sets

Iris


Iris Data Set                 Iris Classes

Iris    

Iris feature correlation

Iris    

Iris feature and target correlation

Iris    

Iris data distribution

MNIST

MNIST data sample

ImageNet


ImageNet sample 1                 ImageNet sample 2                 ImageNet sample 3

Models

Decision Trees

Decision tree

Linear SVMs

Linear SVM

SVMs

Radial Basis Function SVM

Set Up

  • Probabilistic classification (with 3 classes for the Iris data set)
  • Crisp classification


  • Discretise a numerical feature to get a categorical attribute

Wrap Up

Summary

Data

  • Iris
  • MNIST
  • ImageNet

Models

  • Decision Trees
  • Linear SVMs
  • RBF SVMs

Bibliography

Deng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. “ImageNet: A Large-Scale Hierarchical Image Database.” In 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–55. IEEE.
Fisher, Ronald A. 1936. “The Use of Multiple Measurements in Taxonomic Problems.” Annals of Eugenics 7 (2): 179–88.
LeCun, Yann. 1998. “The MNIST Database of Handwritten Digits.” Http://Yann.lecun.com/Exdb/Mnist/.

Questions