segunda-feira, 30 de setembro de 2019

Seminários - Organização

Seminários - Organização


Grupo Data

1 - 18/11
2 - 04/11
3 - 04/11
4 - 11/11
5 - 11/11
6 - 18/11
7 - 23/09
8 - 21/10

Grupo 1
      Integrantes: Ana Laura Lourenço, Rafaela Prado, Raphael Silva
      Assuntos: Inteligência Artificial na Biologia
      Data: 18/11
      Líder (WhatsApp ou Telegram): (19) 995411749 - Ana Laura


Grupo 2
  Integrantes; Gabriely Domingues, Gabriele de Oliveira
      Assuntos: Brainstorming-Brainwriting, 5 porquês
      Data: 04/11
      Líder (WhatsApp): (19) 98389-3687 - Gabriely


Grupo 3
  Integrantes; Gabriela Zucolo Ferreira, Marcos Guilherme de Oliveira, Mariana Braga Strabello
      Assuntos: Cidades Inteligentes
      Data: 04/11
      Líder (WhatsApp): (19) 99284-9984 - Gabriela

Grupo 4
Integrantes: Jessica Alessandra Iamamoto, Marina Alves Santin, Thainá Campos Prado
Assunto: Felicidade: filosofia, religião ...
Data: 11/11
Líder (WhatsApp): 19-981202118 - Jessica

Grupo 5
Kalvin Leonardo de Almeira, William Meurer dos Santos, Carolina Albuqerque Massena Ribeiro
Assunto: Os 9 tipos de inteligencia emocional
Data: 11/11
Líder (WhatsApp ou Telegram): 19-99904-2610- Carol

Grupo 6
Evandro Magalhães, Felipe Rigo, Gabriel Carrasco, Jorge Saches
Assunto: IA no Marketing digital / Bancos /Varejo
Data: 18/11
Líder (WhatsApp): 19-98251-0187 Gabriel

Grupo 7
Marcelo Soares R. Filho, Marcos Ângelo Alves Filho, Luiz Guilherme de Queiroz e Gabriel Rodrigues Palma
Assunto: A Influência da IA nos Sistemas Sociais e Econômicos
Data: 23/09
Líder (WhatsApp): (12) 98255-4481 - Marcelo

Grupo 8
Laís Saenz, Laura Valiño, Lara Losovoi, Gabriel de Oliveira Ferraz
Assunto: Mulheres no esporte
Data: 21/10
Líder (Whatsapp): (19) 981818767 - Laís


Andre Coelho
Estratégias de Marketing Digital: um estudo de caso
Data: 25/11

Camila Correa
Inteligência Artificial
data:25/11




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JMP - Arquivo Categorias IMC Corrida KCal - Rotações

JMP - Arquivo Categorias IMC Corrida KCal - Rotações




Arquivo

Cat.  IMC   Corr  Kcal
AT    20.2  60.7  3200
AT    21.3  54.8  3100
AT    19.3  49.6  2800
AT    21.1  52.3  3300
SEM   22.4  14.9  2600
SEM   21.9  17.8  2700
SEM   23.8  18.6  3200
SEM   24.1  15.1  3300
SE    27.3  2.5   2700
SE    23.4  4.3   2300
SE    25.2  2.3   2600
SE    26.4  2.6   3200
PR    26.2  4.1   2600
PR    24.2  2.1   2700
PR    25.4  1.9   2650
PR    24.9  2.1   2700








Saídas - Rotação
























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JMP - Estrutura de Arquivo - Dinheiro Falso

JMP - Estrutura de Arquivo  - Dinheiro Falso
















Uma saída do JMP







Arquivo para JMP

Status     Length     Left  Right Bottom     Top   Diagonal
A     214.8 131.0 131.1 9.0   9.7   141.0
A     214.6 129.7 129.7 8.1   9.5   141.7
A     214.8 129.7 129.7 8.7   9.6   142.2
A     214.8 129.7 129.6 7.5   10.4  142.0
A     215.0 129.6 129.7 10.4  7.7   141.8
A     215.7 130.8 130.5 9.0   10.1  141.4
A     215.5 129.5 129.7 7.9   9.6   141.6
A     214.5 129.6 129.2 7.2   10.7  141.7
A     214.9 129.4 129.7 8.2   11.0  141.9
A     215.2 130.4 130.3 9.2   10.0  140.7
A     215.3 130.4 130.3 7.9   11.7  141.8
A     215.1 129.5 129.6 7.7   10.5  142.2
A     215.2 130.8 129.6 7.9   10.8  141.4
A     214.7 129.7 129.7 7.7   10.9  141.7
A     215.1 129.9 129.7 7.7   10.8  141.8
A     214.5 129.8 129.8 9.3   8.5   141.6
A     214.6 129.9 130.1 8.2   9.8   141.7
A     215.0 129.9 129.7 9.0   9.0   141.9
A     215.2 129.6 129.6 7.4   11.5  141.5
A     214.7 130.2 129.9 8.6   10.0  141.9
A     215.0 129.9 129.3 8.4   10.0  141.4
A     215.6 130.5 130.0 8.1   10.3  141.6
A     215.3 130.6 130.0 8.4   10.8  141.5
A     215.7 130.2 130.0 8.7   10.0  141.6
A     215.1 129.7 129.9 7.4   10.8  141.1
A     215.3 130.4 130.4 8.0   11.0  142.3
A     215.5 130.2 130.1 8.9   9.8   142.4
A     215.1 130.3 130.3 9.8   9.5   141.9
A     215.1 130.0 130.0 7.4   10.5  141.8
A     214.8 129.7 129.3 8.3   9.0   142.0
A     215.2 130.1 129.8 7.9   10.7  141.8
A     214.8 129.7 129.7 8.6   9.1   142.3
A     215.0 130.0 129.6 7.7   10.5  140.7
A     215.6 130.4 130.1 8.4   10.3  141.0
A     215.9 130.4 130.0 8.9   10.6  141.4
A     214.6 130.2 130.2 9.4   9.7   141.8
A     215.5 130.3 130.0 8.4   9.7   141.8
A     215.3 129.9 129.4 7.9   10.0  142.0
A     215.3 130.3 130.1 8.5   9.3   142.1
A     213.9 130.3 129.0 8.1   9.7   141.3
A     214.4 129.8 129.2 8.9   9.4   142.3
A     214.8 130.1 129.6 8.8   9.9   140.9
A     214.9 129.6 129.4 9.3   9.0   141.7
A     214.9 130.4 129.7 9.0   9.8   140.9
A     214.8 129.4 129.1 8.2   10.2  141.0
A     214.3 129.5 129.4 8.3   10.2  141.8
A     214.8 129.9 129.7 8.3   10.2  141.5
A     214.8 129.9 129.7 7.3   10.9  142.0
A     214.6 129.7 129.8 7.9   10.3  141.1
A     214.5 129.0 129.6 7.8   9.8   142.0
A     214.6 129.8 129.4 7.2   10.0  141.3
A     215.3 130.6 130.0 9.5   9.7   141.1
A     214.5 130.1 130.0 7.8   10.9  140.9
A     215.4 130.2 130.2 7.6   10.9  141.6
A     214.5 129.4 129.5 7.9   10.0  141.4
A     215.2 129.7 129.4 9.2   9.4   142.0
A     215.7 130.0 129.4 9.2   10.4  141.2
A     215.0 129.6 129.4 8.8   9.0   141.1
A     215.1 130.1 129.9 7.9   11.0  141.3
A     215.1 130.0 129.8 8.2   10.3  141.4
A     215.1 129.6 129.3 8.3   9.9   141.6
A     215.3 129.7 129.4 7.5   10.5  141.5
A     215.4 129.8 129.4 8.0   10.6  141.5
A     214.5 130.0 129.5 8.0   10.8  141.4
A     215.0 130.0 129.8 8.6   10.6  141.5
A     215.2 130.6 130.0 8.8   10.6  140.8
A     214.6 129.5 129.2 7.7   10.3  141.3
A     214.8 129.7 129.3 9.1   9.5   141.5
A     215.1 129.6 129.8 8.6   9.8   141.8
A     214.9 130.2 130.2 8.0   11.2  139.6
A     213.8 129.8 129.5 8.4   11.1  140.9
A     215.2 129.9 129.5 8.2   10.3  141.4
A     215.0 129.6 130.2 8.7   10.0  141.2
A     214.4 129.9 129.6 7.5   10.5  141.8
A     215.2 129.9 129.7 7.2   10.6  142.1
A     214.1 129.6 129.3 7.6   10.7  141.7
A     214.9 129.9 130.1 8.8   10.0  141.2
A     214.6 129.8 129.4 7.4   10.6  141.0
A     215.2 130.5 129.8 7.9   10.9  140.9
A     214.6 129.9 129.4 7.9   10.0  141.8
A     215.1 129.7 129.7 8.6   10.3  140.6
A     214.9 129.8 129.6 7.5   10.3  141.0
A     215.2 129.7 129.1 9.0   9.7   141.9
A     215.2 130.1 129.9 7.9   10.8  141.3
A     215.4 130.7 130.2 9.0   11.1  141.2
A     215.1 129.9 129.6 8.9   10.2  141.5
A     215.2 129.9 129.7 8.7   9.5   141.6
A     215.0 129.6 129.2 8.4   10.2  142.1
A     214.9 130.3 129.9 7.4   11.2  141.5
A     215.0 129.9 129.7 8.0   10.5  142.0
A     214.7 129.7 129.3 8.6   9.6   141.6
A     215.4 130.0 129.9 8.5   9.7   141.4
A     214.9 129.4 129.5 8.2   9.9   141.5
A     214.5 129.5 129.3 7.4   10.7  141.5
A     214.7 129.6 129.5 8.3   10.0  142.0
A     215.6 129.9 129.9 9.0   9.5   141.7
A     215.0 130.4 130.3 9.1   10.2  141.1
A     214.4 129.7 129.5 8.0   10.3  141.2
A     215.1 130.0 129.8 9.1   10.2  141.5
A     214.7 130.0 129.4 7.8   10.0  141.2
B     214.4 130.1 130.3 9.7   11.7  139.8
B     214.9 130.5 130.2 11.0  11.5  139.5
B     214.9 130.3 130.1 8.7   11.7  140.2
B     215.0 130.4 130.6 9.9   10.9  140.3
B     214.7 130.2 130.3 11.8  10.9  139.7
B     215.0 130.2 130.2 10.6  10.7  139.9
B     215.3 130.3 130.1 9.3   12.1  140.2
B     214.8 130.1 130.4 9.8   11.5  139.9
B     215.0 130.2 129.9 10.0  11.9  139.4
B     215.2 130.6 130.8 10.4  11.2  140.3
B     215.2 130.4 130.3 8.0   11.5  139.2
B     215.1 130.5 130.3 10.6  11.5  140.1
B     215.4 130.7 131.1 9.7   11.8  140.6
B     214.9 130.4 129.9 11.4  11.0  139.9
B     215.1 130.3 130.0 10.6  10.8  139.7
B     215.5 130.4 130.0 8.2   11.2  139.2
B     214.7 130.6 130.1 11.8  10.5  139.8
B     214.7 130.4 130.1 12.1  10.4  139.9
B     214.8 130.5 130.2 11.0  11.0  140.0
B     214.4 130.2 129.9 10.1  12.0  139.2
B     214.8 130.3 130.4 10.1  12.1  139.6
B     215.1 130.6 130.3 12.3  10.2  139.6
B     215.3 130.8 131.1 11.6  10.6  140.2
B     215.1 130.7 130.4 10.5  11.2  139.7
B     214.7 130.5 130.5 9.9   10.3  140.1
B     214.9 130.0 130.3 10.2  11.4  139.6
B     215.0 130.4 130.4 9.4   11.6  140.2
B     215.5 130.7 130.3 10.2  11.8  140.0
B     215.1 130.2 130.2 10.1  11.3  140.3
B     214.5 130.2 130.6 9.8   12.1  139.9
B     214.3 130.2 130.0 10.7  10.5  139.8
B     214.5 130.2 129.8 12.3  11.2  139.2
B     214.9 130.5 130.2 10.6  11.5  139.9
B     214.6 130.2 130.4 10.5  11.8  139.7
B     214.2 130.0 130.2 11.0  11.2  139.5
B     214.8 130.1 130.1 11.9  11.1  139.5
B     214.6 129.8 130.2 10.7  11.1  139.4
B     214.9 130.7 130.3 9.3   11.2  138.3
B     214.6 130.4 130.4 11.3  10.8  139.8
B     214.5 130.5 130.2 11.8  10.2  139.6
B     214.8 130.2 130.3 10.0  11.9  139.3
B     214.7 130.0 129.4 10.2  11.0  139.2
B     214.6 130.2 130.4 11.2  10.7  139.9
B     215.0 130.5 130.4 10.6  11.1  139.9
B     214.5 129.8 129.8 11.4  10.0  139.3
B     214.9 130.6 130.4 11.9  10.5  139.8
B     215.0 130.5 130.4 11.4  10.7  139.9
B     215.3 130.6 130.3 9.3   11.3  138.1
B     214.7 130.2 130.1 10.7  11.0  139.4
B     214.9 129.9 130.0 9.9   12.3  139.4
B     214.9 130.3 129.9 11.9  10.6  139.8
B     214.6 129.9 129.7 11.9  10.1  139.0
B     214.6 129.7 129.3 10.4  11.0  139.3
B     214.5 130.1 130.1 12.1  10.3  139.4
B     214.5 130.3 130.0 11.0  11.5  139.5
B     215.1 130.0 130.3 11.6  10.5  139.7
B     214.2 129.7 129.6 10.3  11.4  139.5
B     214.4 130.1 130.0 11.3  10.7  139.2
B     214.8 130.4 130.6 12.5  10.0  139.3
B     214.6 130.6 130.1 8.1   12.1  137.9
B     215.6 130.1 129.7 7.4   12.2  138.4
B     214.9 130.5 130.1 9.9   10.2  138.1
B     214.6 130.1 130.0 11.5  10.6  139.5
B     214.7 130.1 130.2 11.6  10.9  139.1
B     214.3 130.3 130.0 11.4  10.5  139.8
B     215.1 130.3 130.6 10.3  12.0  139.7
B     216.3 130.7 130.4 10.0  10.1  138.8
B     215.6 130.4 130.1 9.6   11.2  138.6
B     214.8 129.9 129.8 9.6   12.0  139.6
B     214.9 130.0 129.9 11.4  10.9  139.7
B     213.9 130.7 130.5 8.7   11.5  137.8
B     214.2 130.6 130.4 12.0  10.2  139.6
B     214.8 130.5 130.3 11.8  10.5  139.4
B     214.8 129.6 130.0 10.4  11.6  139.2
B     214.8 130.1 130.0 11.4  10.5  139.6
B     214.9 130.4 130.2 11.9  10.7  139.0
B     214.3 130.1 130.1 11.6  10.5  139.7
B     214.5 130.4 130.0 9.9   12.0  139.6
B     214.8 130.5 130.3 10.2  12.1  139.1
B     214.5 130.2 130.4 8.2   11.8  137.8
B     215.0 130.4 130.1 11.4  10.7  139.1
B     214.8 130.6 130.6 8.0   11.4  138.7
B     215.0 130.5 130.1 11.0  11.4  139.3
B     214.6 130.5 130.4 10.1  11.4  139.3
B     214.7 130.2 130.1 10.7  11.1  139.5
B     214.7 130.4 130.0 11.5  10.7  139.4
B     214.5 130.4 130.0 8.0   12.2  138.5
B     214.8 130.0 129.7 11.4  10.6  139.2
B     214.8 129.9 130.2 9.6   11.9  139.4
B     214.6 130.3 130.2 12.7  9.1   139.2
B     215.1 130.2 129.8 10.2  12.0  139.4
B     215.4 130.5 130.6 8.8   11.0  138.6
B     214.7 130.3 130.2 10.8  11.1  139.2
B     215.0 130.5 130.3 9.6   11.0  138.5
B     214.9 130.3 130.5 11.6  10.6  139.8
B     215.0 130.4 130.3 9.9   12.1  139.6
B     215.1 130.3 129.9 10.3  11.5  139.7
B     214.8 130.3 130.4 10.6  11.1  140.0
B     214.7 130.7 130.8 11.2  11.2  139.4

B     214.3 129.9 129.9 10.2  11.5  139.6


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Aula 30/9 - Seminários como estamos? e Rodar Weka por Primeira vez na ESALQ

Sequencia da Aula:
  • Checar Datas e Assuntos de Seminários
  • Gabriel Palma Redes Neurais Hoje?
  • Rodar Weka por Primeira vez na ESALQ:
    • Se problema rodamos SAS Dinheiro Falso
    • Se não problema rodamos exemplo e vemos estrutura de arquivo ARFF


Postado por às Nenhum comentário:

Arquivo para Treino - Analogia ou Benchmarking - Falsificação de Dinheiro - Franco Suíço

Arquivo para Treino - Analogia ou Benchmarking Falsificação de Dinheiro
Franco Suíço

 Adequar o arquivo SAS para ser lido pelo Weka




Analise Discriminante Linear - Funções Canônicas de Fisher

Seminário Gabriel Sarriés e Colegas em Cirso de Machine Learning - Prof. Rafael (Irlanda) .... e Gabriel Machado (Agosto de 2019)





Adequar o arquivo SAS para ser lido pelo Weka


Arquivo de Dados em SAS



data banco;
input obs Status $ Length Left Right Bottom Top Diagonal;
cards;
1 0 214.8 131.0 131.1 9.0 9.7 141.0
2 0 214.6 129.7 129.7 8.1 9.5 141.7
3 0 214.8 129.7 129.7 8.7 9.6 142.2
4 0 214.8 129.7 129.6 7.5 10.4 142.0
5 0 215.0 129.6 129.7 10.4 7.7 141.8
6 0 215.7 130.8 130.5 9.0 10.1 141.4
7 0 215.5 129.5 129.7 7.9 9.6 141.6
8 0 214.5 129.6 129.2 7.2 10.7 141.7
9 0 214.9 129.4 129.7 8.2 11.0 141.9
10 0 215.2 130.4 130.3 9.2 10.0 140.7
11 0 215.3 130.4 130.3 7.9 11.7 141.8
12 0 215.1 129.5 129.6 7.7 10.5 142.2
13 0 215.2 130.8 129.6 7.9 10.8 141.4
14 0 214.7 129.7 129.7 7.7 10.9 141.7
15 0 215.1 129.9 129.7 7.7 10.8 141.8
16 0 214.5 129.8 129.8 9.3 8.5 141.6
17 0 214.6 129.9 130.1 8.2 9.8 141.7
18 0 215.0 129.9 129.7 9.0 9.0 141.9
19 0 215.2 129.6 129.6 7.4 11.5 141.5
20 0 214.7 130.2 129.9 8.6 10.0 141.9
21 0 215.0 129.9 129.3 8.4 10.0 141.4
22 0 215.6 130.5 130.0 8.1 10.3 141.6
23 0 215.3 130.6 130.0 8.4 10.8 141.5
24 0 215.7 130.2 130.0 8.7 10.0 141.6
25 0 215.1 129.7 129.9 7.4 10.8 141.1
26 0 215.3 130.4 130.4 8.0 11.0 142.3
27 0 215.5 130.2 130.1 8.9 9.8 142.4
28 0 215.1 130.3 130.3 9.8 9.5 141.9
29 0 215.1 130.0 130.0 7.4 10.5 141.8
30 0 214.8 129.7 129.3 8.3 9.0 142.0
31 0 215.2 130.1 129.8 7.9 10.7 141.8
32 0 214.8 129.7 129.7 8.6 9.1 142.3
33 0 215.0 130.0 129.6 7.7 10.5 140.7
34 0 215.6 130.4 130.1 8.4 10.3 141.0
35 0 215.9 130.4 130.0 8.9 10.6 141.4
36 0 214.6 130.2 130.2 9.4 9.7 141.8
37 0 215.5 130.3 130.0 8.4 9.7 141.8
38 0 215.3 129.9 129.4 7.9 10.0 142.0
39 0 215.3 130.3 130.1 8.5 9.3 142.1
40 0 213.9 130.3 129.0 8.1 9.7 141.3
41 0 214.4 129.8 129.2 8.9 9.4 142.3
42 0 214.8 130.1 129.6 8.8 9.9 140.9
43 0 214.9 129.6 129.4 9.3 9.0 141.7
44 0 214.9 130.4 129.7 9.0 9.8 140.9
45 0 214.8 129.4 129.1 8.2 10.2 141.0
46 0 214.3 129.5 129.4 8.3 10.2 141.8
47 0 214.8 129.9 129.7 8.3 10.2 141.5
48 0 214.8 129.9 129.7 7.3 10.9 142.0
49 0 214.6 129.7 129.8 7.9 10.3 141.1
50 0 214.5 129.0 129.6 7.8 9.8 142.0
51 0 214.6 129.8 129.4 7.2 10.0 141.3
52 0 215.3 130.6 130.0 9.5 9.7 141.1
53 0 214.5 130.1 130.0 7.8 10.9 140.9
54 0 215.4 130.2 130.2 7.6 10.9 141.6
55 0 214.5 129.4 129.5 7.9 10.0 141.4
56 0 215.2 129.7 129.4 9.2 9.4 142.0
57 0 215.7 130.0 129.4 9.2 10.4 141.2
58 0 215.0 129.6 129.4 8.8 9.0 141.1
59 0 215.1 130.1 129.9 7.9 11.0 141.3
60 0 215.1 130.0 129.8 8.2 10.3 141.4
61 0 215.1 129.6 129.3 8.3 9.9 141.6
62 0 215.3 129.7 129.4 7.5 10.5 141.5
63 0 215.4 129.8 129.4 8.0 10.6 141.5
64 0 214.5 130.0 129.5 8.0 10.8 141.4
65 0 215.0 130.0 129.8 8.6 10.6 141.5
66 0 215.2 130.6 130.0 8.8 10.6 140.8
67 0 214.6 129.5 129.2 7.7 10.3 141.3
68 0 214.8 129.7 129.3 9.1 9.5 141.5
69 0 215.1 129.6 129.8 8.6 9.8 141.8
70 0 214.9 130.2 130.2 8.0 11.2 139.6
71 0 213.8 129.8 129.5 8.4 11.1 140.9
72 0 215.2 129.9 129.5 8.2 10.3 141.4
73 0 215.0 129.6 130.2 8.7 10.0 141.2
74 0 214.4 129.9 129.6 7.5 10.5 141.8
75 0 215.2 129.9 129.7 7.2 10.6 142.1
76 0 214.1 129.6 129.3 7.6 10.7 141.7
77 0 214.9 129.9 130.1 8.8 10.0 141.2
78 0 214.6 129.8 129.4 7.4 10.6 141.0
79 0 215.2 130.5 129.8 7.9 10.9 140.9
80 0 214.6 129.9 129.4 7.9 10.0 141.8
81 0 215.1 129.7 129.7 8.6 10.3 140.6
82 0 214.9 129.8 129.6 7.5 10.3 141.0
83 0 215.2 129.7 129.1 9.0 9.7 141.9
84 0 215.2 130.1 129.9 7.9 10.8 141.3
85 0 215.4 130.7 130.2 9.0 11.1 141.2
86 0 215.1 129.9 129.6 8.9 10.2 141.5
87 0 215.2 129.9 129.7 8.7 9.5 141.6
88 0 215.0 129.6 129.2 8.4 10.2 142.1
89 0 214.9 130.3 129.9 7.4 11.2 141.5
90 0 215.0 129.9 129.7 8.0 10.5 142.0
91 0 214.7 129.7 129.3 8.6 9.6 141.6
92 0 215.4 130.0 129.9 8.5 9.7 141.4
93 0 214.9 129.4 129.5 8.2 9.9 141.5
94 0 214.5 129.5 129.3 7.4 10.7 141.5
95 0 214.7 129.6 129.5 8.3 10.0 142.0
96 0 215.6 129.9 129.9 9.0 9.5 141.7
97 0 215.0 130.4 130.3 9.1 10.2 141.1
98 0 214.4 129.7 129.5 8.0 10.3 141.2
99 0 215.1 130.0 129.8 9.1 10.2 141.5
100 0 214.7 130.0 129.4 7.8 10.0 141.2
101 1 214.4 130.1 130.3 9.7 11.7 139.8
102 1 214.9 130.5 130.2 11.0 11.5 139.5
103 1 214.9 130.3 130.1 8.7 11.7 140.2
104 1 215.0 130.4 130.6 9.9 10.9 140.3
105 1 214.7 130.2 130.3 11.8 10.9 139.7
106 1 215.0 130.2 130.2 10.6 10.7 139.9
107 1 215.3 130.3 130.1 9.3 12.1 140.2
108 1 214.8 130.1 130.4 9.8 11.5 139.9
109 1 215.0 130.2 129.9 10.0 11.9 139.4
110 1 215.2 130.6 130.8 10.4 11.2 140.3
111 1 215.2 130.4 130.3 8.0 11.5 139.2
112 1 215.1 130.5 130.3 10.6 11.5 140.1
113 1 215.4 130.7 131.1 9.7 11.8 140.6
114 1 214.9 130.4 129.9 11.4 11.0 139.9
115 1 215.1 130.3 130.0 10.6 10.8 139.7
116 1 215.5 130.4 130.0 8.2 11.2 139.2
117 1 214.7 130.6 130.1 11.8 10.5 139.8
118 1 214.7 130.4 130.1 12.1 10.4 139.9
119 1 214.8 130.5 130.2 11.0 11.0 140.0
120 1 214.4 130.2 129.9 10.1 12.0 139.2
121 1 214.8 130.3 130.4 10.1 12.1 139.6
122 1 215.1 130.6 130.3 12.3 10.2 139.6
123 1 215.3 130.8 131.1 11.6 10.6 140.2
124 1 215.1 130.7 130.4 10.5 11.2 139.7
125 1 214.7 130.5 130.5 9.9 10.3 140.1
126 1 214.9 130.0 130.3 10.2 11.4 139.6
127 1 215.0 130.4 130.4 9.4 11.6 140.2
128 1 215.5 130.7 130.3 10.2 11.8 140.0
129 1 215.1 130.2 130.2 10.1 11.3 140.3
130 1 214.5 130.2 130.6 9.8 12.1 139.9
131 1 214.3 130.2 130.0 10.7 10.5 139.8
132 1 214.5 130.2 129.8 12.3 11.2 139.2
133 1 214.9 130.5 130.2 10.6 11.5 139.9
134 1 214.6 130.2 130.4 10.5 11.8 139.7
135 1 214.2 130.0 130.2 11.0 11.2 139.5
136 1 214.8 130.1 130.1 11.9 11.1 139.5
137 1 214.6 129.8 130.2 10.7 11.1 139.4
138 1 214.9 130.7 130.3 9.3 11.2 138.3
139 1 214.6 130.4 130.4 11.3 10.8 139.8
140 1 214.5 130.5 130.2 11.8 10.2 139.6
141 1 214.8 130.2 130.3 10.0 11.9 139.3
142 1 214.7 130.0 129.4 10.2 11.0 139.2
143 1 214.6 130.2 130.4 11.2 10.7 139.9
144 1 215.0 130.5 130.4 10.6 11.1 139.9
145 1 214.5 129.8 129.8 11.4 10.0 139.3
146 1 214.9 130.6 130.4 11.9 10.5 139.8
147 1 215.0 130.5 130.4 11.4 10.7 139.9
148 1 215.3 130.6 130.3 9.3 11.3 138.1
149 1 214.7 130.2 130.1 10.7 11.0 139.4
150 1 214.9 129.9 130.0 9.9 12.3 139.4
151 1 214.9 130.3 129.9 11.9 10.6 139.8
152 1 214.6 129.9 129.7 11.9 10.1 139.0
153 1 214.6 129.7 129.3 10.4 11.0 139.3
154 1 214.5 130.1 130.1 12.1 10.3 139.4
155 1 214.5 130.3 130.0 11.0 11.5 139.5
156 1 215.1 130.0 130.3 11.6 10.5 139.7
157 1 214.2 129.7 129.6 10.3 11.4 139.5
158 1 214.4 130.1 130.0 11.3 10.7 139.2
159 1 214.8 130.4 130.6 12.5 10.0 139.3
160 1 214.6 130.6 130.1 8.1 12.1 137.9
161 1 215.6 130.1 129.7 7.4 12.2 138.4
162 1 214.9 130.5 130.1 9.9 10.2 138.1
163 1 214.6 130.1 130.0 11.5 10.6 139.5
164 1 214.7 130.1 130.2 11.6 10.9 139.1
165 1 214.3 130.3 130.0 11.4 10.5 139.8
166 1 215.1 130.3 130.6 10.3 12.0 139.7
167 1 216.3 130.7 130.4 10.0 10.1 138.8
168 1 215.6 130.4 130.1 9.6 11.2 138.6
169 1 214.8 129.9 129.8 9.6 12.0 139.6
170 1 214.9 130.0 129.9 11.4 10.9 139.7
171 1 213.9 130.7 130.5 8.7 11.5 137.8
172 1 214.2 130.6 130.4 12.0 10.2 139.6
173 1 214.8 130.5 130.3 11.8 10.5 139.4
174 1 214.8 129.6 130.0 10.4 11.6 139.2
175 1 214.8 130.1 130.0 11.4 10.5 139.6
176 1 214.9 130.4 130.2 11.9 10.7 139.0
177 1 214.3 130.1 130.1 11.6 10.5 139.7
178 1 214.5 130.4 130.0 9.9 12.0 139.6
179 1 214.8 130.5 130.3 10.2 12.1 139.1
180 1 214.5 130.2 130.4 8.2 11.8 137.8
181 1 215.0 130.4 130.1 11.4 10.7 139.1
182 1 214.8 130.6 130.6 8.0 11.4 138.7
183 1 215.0 130.5 130.1 11.0 11.4 139.3
184 1 214.6 130.5 130.4 10.1 11.4 139.3
185 1 214.7 130.2 130.1 10.7 11.1 139.5
186 1 214.7 130.4 130.0 11.5 10.7 139.4
187 1 214.5 130.4 130.0 8.0 12.2 138.5
188 1 214.8 130.0 129.7 11.4 10.6 139.2
189 1 214.8 129.9 130.2 9.6 11.9 139.4
190 1 214.6 130.3 130.2 12.7 9.1 139.2
191 1 215.1 130.2 129.8 10.2 12.0 139.4
192 1 215.4 130.5 130.6 8.8 11.0 138.6
193 1 214.7 130.3 130.2 10.8 11.1 139.2
194 1 215.0 130.5 130.3 9.6 11.0 138.5
195 1 214.9 130.3 130.5 11.6 10.6 139.8
196 1 215.0 130.4 130.3 9.9 12.1 139.6
197 1 215.1 130.3 129.9 10.3 11.5 139.7
198 1 214.8 130.3 130.4 10.6 11.1 140.0
199 1 214.7 130.7 130.8 11.2 11.2 139.4
200 1 214.3 129.9 129.9 10.2 11.5 139.6
;

/* ANOVA */
proc anova;
class Status;
model Length Left Right Bottom Top Diagonal = Status;
means Status / tukey alpha=0.01 lines;
run;



/* MANOVA
proc glm;
class Status;
model Length Left Right Bottom Top Diagonal = Status;
manova h=_all_ / printe printh;
run;

*/

/* Analise Discriminante 
proc discrim data=banco method=normal pool=no
       crossvalidate;
class Status;
priors prop;
var Length Left Right Bottom Top Diagonal;
run;

 */





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Weka - Estrutura do Arquivo ARFF - Iris

Weka - Estrutura do Arquivo ARFF - Iris










Colorindo o Arquivo












Arquivo Inteiro - Iris
% 1. Title: Iris Plants Database

% 
% 2. Sources:
%      (a) Creator: R.A. Fisher
%      (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)
%      (c) Date: July, 1988
% 
% 3. Past Usage:
%    - Publications: too many to mention!!!  Here are a few.
%    1. Fisher,R.A. "The use of multiple measurements in taxonomic problems"
%       Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions
%       to Mathematical Statistics" (John Wiley, NY, 1950).
%    2. Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis.
%       (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.
%    3. Dasarathy, B.V. (1980) "Nosing Around the Neighborhood: A New System
%       Structure and Classification Rule for Recognition in Partially Exposed
%       Environments".  IEEE Transactions on Pattern Analysis and Machine
%       Intelligence, Vol. PAMI-2, No. 1, 67-71.
%       -- Results:
%          -- very low misclassification rates (0% for the setosa class)
%    4. Gates, G.W. (1972) "The Reduced Nearest Neighbor Rule".  IEEE 
%       Transactions on Information Theory, May 1972, 431-433.
%       -- Results:
%          -- very low misclassification rates again
%    5. See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al's AUTOCLASS II
%       conceptual clustering system finds 3 classes in the data.
% 
% 4. Relevant Information:
%    --- This is perhaps the best known database to be found in the pattern
%        recognition literature.  Fisher's paper is a classic in the field
%        and is referenced frequently to this day.  (See Duda & Hart, for
%        example.)  The data set contains 3 classes of 50 instances each,
%        where each class refers to a type of iris plant.  One class is
%        linearly separable from the other 2; the latter are NOT linearly
%        separable from each other.
%    --- Predicted attribute: class of iris plant.
%    --- This is an exceedingly simple domain.
% 
% 5. Number of Instances: 150 (50 in each of three classes)
% 
% 6. Number of Attributes: 4 numeric, predictive attributes and the class
% 
% 7. Attribute Information:
%    1. sepal length in cm
%    2. sepal width in cm
%    3. petal length in cm
%    4. petal width in cm
%    5. class: 
%       -- Iris Setosa
%       -- Iris Versicolour
%       -- Iris Virginica
% 
% 8. Missing Attribute Values: None
% 
% Summary Statistics:
%                Min  Max   Mean    SD   Class Correlation
%    sepal length: 4.3  7.9   5.84  0.83    0.7826   
%     sepal width: 2.0  4.4   3.05  0.43   -0.4194
%    petal length: 1.0  6.9   3.76  1.76    0.9490  (high!)

%     petal width: 0.1  2.5   1.20  0.76    0.9565  (high!)
% 
% 9. Class Distribution: 33.3% for each of 3 classes.


@RELATION iris

@ATTRIBUTE sepallength REAL
@ATTRIBUTE sepalwidth REAL
@ATTRIBUTE petallength       REAL
@ATTRIBUTE petalwidth  REAL

@ATTRIBUTE class       {Iris-setosa,Iris-versicolor,Iris-virginica}

@DATA
5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5.0,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5.0,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5.4,3.7,1.5,0.2,Iris-setosa
4.8,3.4,1.6,0.2,Iris-setosa
4.8,3.0,1.4,0.1,Iris-setosa
4.3,3.0,1.1,0.1,Iris-setosa
5.8,4.0,1.2,0.2,Iris-setosa
5.7,4.4,1.5,0.4,Iris-setosa
5.4,3.9,1.3,0.4,Iris-setosa
5.1,3.5,1.4,0.3,Iris-setosa
5.7,3.8,1.7,0.3,Iris-setosa
5.1,3.8,1.5,0.3,Iris-setosa
5.4,3.4,1.7,0.2,Iris-setosa
5.1,3.7,1.5,0.4,Iris-setosa
4.6,3.6,1.0,0.2,Iris-setosa
5.1,3.3,1.7,0.5,Iris-setosa
4.8,3.4,1.9,0.2,Iris-setosa
5.0,3.0,1.6,0.2,Iris-setosa
5.0,3.4,1.6,0.4,Iris-setosa
5.2,3.5,1.5,0.2,Iris-setosa
5.2,3.4,1.4,0.2,Iris-setosa
4.7,3.2,1.6,0.2,Iris-setosa
4.8,3.1,1.6,0.2,Iris-setosa
5.4,3.4,1.5,0.4,Iris-setosa
5.2,4.1,1.5,0.1,Iris-setosa
5.5,4.2,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5.0,3.2,1.2,0.2,Iris-setosa
5.5,3.5,1.3,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
4.4,3.0,1.3,0.2,Iris-setosa
5.1,3.4,1.5,0.2,Iris-setosa
5.0,3.5,1.3,0.3,Iris-setosa
4.5,2.3,1.3,0.3,Iris-setosa
4.4,3.2,1.3,0.2,Iris-setosa
5.0,3.5,1.6,0.6,Iris-setosa
5.1,3.8,1.9,0.4,Iris-setosa
4.8,3.0,1.4,0.3,Iris-setosa
5.1,3.8,1.6,0.2,Iris-setosa
4.6,3.2,1.4,0.2,Iris-setosa
5.3,3.7,1.5,0.2,Iris-setosa
5.0,3.3,1.4,0.2,Iris-setosa
7.0,3.2,4.7,1.4,Iris-versicolor
6.4,3.2,4.5,1.5,Iris-versicolor
6.9,3.1,4.9,1.5,Iris-versicolor
5.5,2.3,4.0,1.3,Iris-versicolor
6.5,2.8,4.6,1.5,Iris-versicolor
5.7,2.8,4.5,1.3,Iris-versicolor
6.3,3.3,4.7,1.6,Iris-versicolor
4.9,2.4,3.3,1.0,Iris-versicolor
6.6,2.9,4.6,1.3,Iris-versicolor
5.2,2.7,3.9,1.4,Iris-versicolor
5.0,2.0,3.5,1.0,Iris-versicolor
5.9,3.0,4.2,1.5,Iris-versicolor
6.0,2.2,4.0,1.0,Iris-versicolor
6.1,2.9,4.7,1.4,Iris-versicolor
5.6,2.9,3.6,1.3,Iris-versicolor
6.7,3.1,4.4,1.4,Iris-versicolor
5.6,3.0,4.5,1.5,Iris-versicolor
5.8,2.7,4.1,1.0,Iris-versicolor
6.2,2.2,4.5,1.5,Iris-versicolor
5.6,2.5,3.9,1.1,Iris-versicolor
5.9,3.2,4.8,1.8,Iris-versicolor
6.1,2.8,4.0,1.3,Iris-versicolor
6.3,2.5,4.9,1.5,Iris-versicolor
6.1,2.8,4.7,1.2,Iris-versicolor
6.4,2.9,4.3,1.3,Iris-versicolor
6.6,3.0,4.4,1.4,Iris-versicolor
6.8,2.8,4.8,1.4,Iris-versicolor
6.7,3.0,5.0,1.7,Iris-versicolor
6.0,2.9,4.5,1.5,Iris-versicolor
5.7,2.6,3.5,1.0,Iris-versicolor
5.5,2.4,3.8,1.1,Iris-versicolor
5.5,2.4,3.7,1.0,Iris-versicolor
5.8,2.7,3.9,1.2,Iris-versicolor
6.0,2.7,5.1,1.6,Iris-versicolor
5.4,3.0,4.5,1.5,Iris-versicolor
6.0,3.4,4.5,1.6,Iris-versicolor
6.7,3.1,4.7,1.5,Iris-versicolor
6.3,2.3,4.4,1.3,Iris-versicolor
5.6,3.0,4.1,1.3,Iris-versicolor
5.5,2.5,4.0,1.3,Iris-versicolor
5.5,2.6,4.4,1.2,Iris-versicolor
6.1,3.0,4.6,1.4,Iris-versicolor
5.8,2.6,4.0,1.2,Iris-versicolor
5.0,2.3,3.3,1.0,Iris-versicolor
5.6,2.7,4.2,1.3,Iris-versicolor
5.7,3.0,4.2,1.2,Iris-versicolor
5.7,2.9,4.2,1.3,Iris-versicolor
6.2,2.9,4.3,1.3,Iris-versicolor
5.1,2.5,3.0,1.1,Iris-versicolor
5.7,2.8,4.1,1.3,Iris-versicolor
6.3,3.3,6.0,2.5,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
7.1,3.0,5.9,2.1,Iris-virginica
6.3,2.9,5.6,1.8,Iris-virginica
6.5,3.0,5.8,2.2,Iris-virginica
7.6,3.0,6.6,2.1,Iris-virginica
4.9,2.5,4.5,1.7,Iris-virginica
7.3,2.9,6.3,1.8,Iris-virginica
6.7,2.5,5.8,1.8,Iris-virginica
7.2,3.6,6.1,2.5,Iris-virginica
6.5,3.2,5.1,2.0,Iris-virginica
6.4,2.7,5.3,1.9,Iris-virginica
6.8,3.0,5.5,2.1,Iris-virginica
5.7,2.5,5.0,2.0,Iris-virginica
5.8,2.8,5.1,2.4,Iris-virginica
6.4,3.2,5.3,2.3,Iris-virginica
6.5,3.0,5.5,1.8,Iris-virginica
7.7,3.8,6.7,2.2,Iris-virginica
7.7,2.6,6.9,2.3,Iris-virginica
6.0,2.2,5.0,1.5,Iris-virginica
6.9,3.2,5.7,2.3,Iris-virginica
5.6,2.8,4.9,2.0,Iris-virginica
7.7,2.8,6.7,2.0,Iris-virginica
6.3,2.7,4.9,1.8,Iris-virginica
6.7,3.3,5.7,2.1,Iris-virginica
7.2,3.2,6.0,1.8,Iris-virginica
6.2,2.8,4.8,1.8,Iris-virginica
6.1,3.0,4.9,1.8,Iris-virginica
6.4,2.8,5.6,2.1,Iris-virginica
7.2,3.0,5.8,1.6,Iris-virginica
7.4,2.8,6.1,1.9,Iris-virginica
7.9,3.8,6.4,2.0,Iris-virginica
6.4,2.8,5.6,2.2,Iris-virginica
6.3,2.8,5.1,1.5,Iris-virginica
6.1,2.6,5.6,1.4,Iris-virginica
7.7,3.0,6.1,2.3,Iris-virginica
6.3,3.4,5.6,2.4,Iris-virginica
6.4,3.1,5.5,1.8,Iris-virginica
6.0,3.0,4.8,1.8,Iris-virginica
6.9,3.1,5.4,2.1,Iris-virginica
6.7,3.1,5.6,2.4,Iris-virginica
6.9,3.1,5.1,2.3,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
6.8,3.2,5.9,2.3,Iris-virginica
6.7,3.3,5.7,2.5,Iris-virginica
6.7,3.0,5.2,2.3,Iris-virginica
6.3,2.5,5.0,1.9,Iris-virginica
6.5,3.0,5.2,2.0,Iris-virginica
6.2,3.4,5.4,2.3,Iris-virginica
5.9,3.0,5.1,1.8,Iris-virginica
%
%
%





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