Wed Sep 20 20:21:59 2023

faces_classify_knn():
  Python version: 3.8.10
  scikit-learn version: 1.3.0
  Match a face to an item in the faces dataset.
  Use the k-nearest neighbor method.

  Generate the dataset
  Plot the dataset (X0,X1).
  Graphics saved as "faces_sample.png"
  people.images.shape: (3023, 87, 65)
  Number of classes: 62
Alejandro Toledo 39
Alvaro Uribe 35
Amelie Mauresmo 21
Andre Agassi 36
Angelina Jolie 20
Ariel Sharon 77
Arnold Schwarzenegger 42
Atal Bihari Vajpayee 24
Bill Clinton 29
Carlos Menem 21
Colin Powell 236
David Beckham 31
Donald Rumsfeld 121
George Robertson 22
George W Bush 530
Gerhard Schroeder 109
Gloria Macapagal Arroyo 44
Gray Davis 26
Guillermo Coria 30
Hamid Karzai 22
Hans Blix 39
Hugo Chavez 71
Igor Ivanov 20
Jack Straw 28
Jacques Chirac 52
Jean Chretien 55
Jennifer Aniston 21
Jennifer Capriati 42
Jennifer Lopez 21
Jeremy Greenstock 24
Jiang Zemin 20
John Ashcroft 53
John Negroponte 31
Jose Maria Aznar 23
Juan Carlos Ferrero 28
Junichiro Koizumi 60
Kofi Annan 32
Laura Bush 41
Lindsay Davenport 22
Lleyton Hewitt 41
Luiz Inacio Lula da Silva 48
Mahmoud Abbas 29
Megawati Sukarnoputri 33
Michael Bloomberg 20
Naomi Watts 22
Nestor Kirchner 37
Paul Bremer 20
Pete Sampras 22
Recep Tayyip Erdogan 30
Ricardo Lagos 27
Roh Moo-hyun 32
Rudolph Giuliani 26
Saddam Hussein 23
Serena Williams 52
Silvio Berlusconi 33
Tiger Woods 23
Tom Daschle 25
Tom Ridge 33
Tony Blair 144
Vicente Fox 32
Vladimir Putin 49
Winona Ryder 24

  Test set score using 1 neighbor 0.21511627906976744

faces_classify_knn():
  Normal end of execution.
Wed Sep 20 20:22:02 2023