DBO | ICobV | ICArb | Bcont | Dis_Pl | IBD_A |
1,604 | 89 | 60 | 11 | 9 | 90 |
0,385 | 90 | 61 | 10 | 8,9 | 91 |
0,216 | 91 | 62 | 9 | 9,1 | 92 |
0,303 | 90 | 59 | 10 | 8,8 | 89 |
1,961 | 20 | 12 | 81 | 0,2 | 20 |
0,782 | 21 | 14 | 79 | 0,3 | 22 |
0,57 | 22 | 15 | 78 | 0,25 | 23 |
2,187 | 22 | 12 | 77 | 0,2 | 24 |
0,764 | 59 | 35 | 41 | 6 | 60 |
0,273 | 60 | 32 | 40 | 6,5 | 61 |
1,883 | 64 | 33 | 38 | 5,8 | 63 |
0,581 | 62 | 32 | 37 | 5,6 | 62 |
0,18 | 79 | 50 | 21 | 8,2 | 80 |
0,007 | 80 | 49 | 20 | 7,8 | 79 |
2,028 | 80 | 48 | 18 | 8,2 | 81 |
2,431 | 79 | 47 | 21 | 7,7 | 78 |
Pauta:
- Gravar aula e projetar tela
- Curso do Peter - Metrologia Forense (Biologia Forense), meu coach de gestão da Agencia Internacional de Energia Atômica / ONU nos últimos 30 anos:
- Inscrição, gratuita: https://forms.gle/WTrJa9swhESTXitQ6
- Local, anfiteatro do CENA ou Internet
- Dias 27 e 28 de setembro.
- Vídeo da ultima aula, coloquei dois por que não compartilhei a tela, na resolução do Exercício I Pratico, da aula passada.
- Teríamos que ser vegetarianos ou comer com pouca frequência carne, as crianças sim carne para desenvolver o cérebro. Por que 25 a 30 vezes mais produção de alimentos vegetais que animais por hectare por ano. Também produção de metano que é pior que o dióxido de carbono para o Efeito Estufa. Faço a conta se quiserem, carne 450 kg de matéria seca, grãos 25 a 30 vezes mais.
- Exercício II
- Seminários, se possível como IA - CD e R podem ser aplicadas na sua área de seminário. Se não conseguir enxergar me perguntar. Slides e texto de explicação em inglês ou espanhol, cola para apresentação, no Word ou pdf. Slides em pdf.
Exercícios Práticos
Enviar os exercícios para o e-mail da disciplina.
E-Mail da Disciplina:
biologia.inteligente.10@gmail.com
Colocar no Assunto do e-mail o Nome Completo e Número do Exercício
Exercícios Obrigatórios - Com isto e Seminário Nota Final >= 8
Exercício 1 Pratico:
Invente um exemplo (se inventar, envie uma copia para gasarrie@usp,br) para aplicar ML Supervisionado para Classificação ou troque os sinais de interrogação pelos últimos dígitos do seu numero USP no arquivo dos ratos que transmitem Hantavirus. Rode uma rede neural com 1-2-3 camadas de neurônios:
@RELATION Hantav
@ATTRIBUTE MasaCorp REAL
@ATTRIBUTE CompCaud REAL
@ATTRIBUTE OuviExt REAL
@ATTRIBUTE PataPost REAL
@ATTRIBUTE PataAnte REAL
@ATTRIBUTE CorpCabe REAL
@ATTRIBUTE Class {0,1}
@DATA
10?.?,91.7,13.1?,??,19.4,14?,0
107.3,90.79,12.97,24.3,19,141.7,0
107.4,90.79,12.97,26.1,19.2,142.2,0
107.4,90.79,12.96,22.5,20.8,142,0
107.5,90.72,12.97,31.2,15.4,141.8,0
107.85,91.56,13.05,27,20.2,141.4,0
107.75,90.65,12.97,23.7,19.2,141.6,0
107.25,90.72,12.92,21.6,21.4,141.7,0
107.45,90.58,12.97,24.6,22,141.9,0
107.6,91.28,13.03,27.6,20,140.7,0
107.65,91.28,13.03,23.7,23.4,141.8,0
107.55,90.65,12.96,23.1,21,142.2,0
107.6,91.56,12.96,23.7,21.6,141.4,0
107.35,90.79,12.97,23.1,21.8,141.7,0
107.55,90.93,12.97,23.1,21.6,141.8,0
107.25,90.86,12.98,27.9,17,141.6,0
107.3,90.93,13.01,24.6,19.6,141.7,0
107.5,90.93,12.97,27,18,141.9,0
107.6,90.72,12.96,22.2,23,141.5,0
107.35,91.14,12.99,25.8,20,141.9,0
107.5,90.93,12.93,25.2,20,141.4,0
107.8,91.35,13,24.3,20.6,141.6,0
107.65,91.42,13,25.2,21.6,141.5,0
107.85,91.14,13,26.1,20,141.6,0
107.55,90.79,12.99,22.2,21.6,141.1,0
107.65,91.28,13.04,24,22,142.3,0
107.75,91.14,13.01,26.7,19.6,142.4,0
107.55,91.21,13.03,29.4,19,141.9,0
107.55,91,13,22.2,21,141.8,0
107.4,90.79,12.93,24.9,18,142,0
107.6,91.07,12.98,23.7,21.4,141.8,0
107.4,90.79,12.97,25.8,18.2,142.3,0
107.5,91,12.96,23.1,21,140.7,0
107.8,91.28,13.01,25.2,20.6,141,0
107.95,91.28,13,26.7,21.2,141.4,0
107.3,91.14,13.02,28.2,19.4,141.8,0
107.75,91.21,13,25.2,19.4,141.8,0
107.65,90.93,12.94,23.7,20,142,0
107.65,91.21,13.01,25.5,18.6,142.1,0
106.95,91.21,12.9,24.3,19.4,141.3,0
107.2,90.86,12.92,26.7,18.8,142.3,0
107.4,91.07,12.96,26.4,19.8,140.9,0
107.45,90.72,12.94,27.9,18,141.7,0
107.45,91.28,12.97,27,19.6,140.9,0
107.4,90.58,12.91,24.6,20.4,141,0
107.15,90.65,12.94,24.9,20.4,141.8,0
107.4,90.93,12.97,24.9,20.4,141.5,0
107.4,90.93,12.97,21.9,21.8,142,0
107.3,90.79,12.98,23.7,20.6,141.1,0
107.25,90.3,12.96,23.4,19.6,142,0
107.3,90.86,12.94,21.6,20,141.3,0
107.65,91.42,13,28.5,19.4,141.1,0
107.25,91.07,13,23.4,21.8,140.9,0
107.7,91.14,13.02,22.8,21.8,141.6,0
107.25,90.58,12.95,23.7,20,141.4,0
107.6,90.79,12.94,27.6,18.8,142,0
107.85,91,12.94,27.6,20.8,141.2,0
107.5,90.72,12.94,26.4,18,141.1,0
107.55,91.07,12.99,23.7,22,141.3,0
107.55,91,12.98,24.6,20.6,141.4,0
107.55,90.72,12.93,24.9,19.8,141.6,0
107.65,90.79,12.94,22.5,21,141.5,0
107.7,90.86,12.94,24,21.2,141.5,0
107.25,91,12.95,24,21.6,141.4,0
107.5,91,12.98,25.8,21.2,141.5,0
107.6,91.42,13,26.4,21.2,140.8,0
107.3,90.65,12.92,23.1,20.6,141.3,0
107.4,90.79,12.93,27.3,19,141.5,0
107.55,90.72,12.98,25.8,19.6,141.8,0
107.45,91.14,13.02,24,22.4,139.6,0
106.9,90.86,12.95,25.2,22.2,140.9,0
107.6,90.93,12.95,24.6,20.6,141.4,0
107.5,90.72,13.02,26.1,20,141.2,0
107.2,90.93,12.96,22.5,21,141.8,0
107.6,90.93,12.97,21.6,21.2,142.1,0
107.05,90.72,12.93,22.8,21.4,141.7,0
107.45,90.93,13.01,26.4,20,141.2,0
107.3,90.86,12.94,22.2,21.2,141,0
107.6,91.35,12.98,23.7,21.8,140.9,0
107.3,90.93,12.94,23.7,20,141.8,0
107.55,90.79,12.97,25.8,20.6,140.6,0
107.45,90.86,12.96,22.5,20.6,141,0
107.6,90.79,12.91,27,19.4,141.9,0
107.6,91.07,12.99,23.7,21.6,141.3,0
107.7,91.49,13.02,27,22.2,141.2,0
107.55,90.93,12.96,26.7,20.4,141.5,0
107.6,90.93,12.97,26.1,19,141.6,0
107.5,90.72,12.92,25.2,20.4,142.1,0
107.45,91.21,12.99,22.2,22.4,141.5,0
107.5,90.93,12.97,24,21,142,0
107.35,90.79,12.93,25.8,19.2,141.6,0
107.7,91,12.99,25.5,19.4,141.4,0
107.45,90.58,12.95,24.6,19.8,141.5,0
107.25,90.65,12.93,22.2,21.4,141.5,0
107.35,90.72,12.95,24.9,20,142,0
107.8,90.93,12.99,27,19,141.7,0
107.5,91.28,13.03,27.3,20.4,141.1,0
107.2,90.79,12.95,24,20.6,141.2,0
107.55,91,12.98,27.3,20.4,141.5,0
107.35,91,12.94,23.4,20,141.2,0
107.2,91.07,13.03,29.1,23.4,139.8,1
107.45,91.35,13.02,33,23,139.5,1
107.45,91.21,13.01,26.1,23.4,140.2,1
107.5,91.28,13.06,29.7,21.8,140.3,1
107.35,91.14,13.03,35.4,21.8,139.7,1
107.5,91.14,13.02,31.8,21.4,139.9,1
107.65,91.21,13.01,27.9,24.2,140.2,1
107.4,91.07,13.04,29.4,23,139.9,1
107.5,91.14,12.99,30,23.8,139.4,1
107.6,91.42,13.08,31.2,22.4,140.3,1
107.6,91.28,13.03,24,23,139.2,1
107.55,91.35,13.03,31.8,23,140.1,1
107.7,91.49,13.11,29.1,23.6,140.6,1
107.45,91.28,12.99,34.2,22,139.9,1
107.55,91.21,13,31.8,21.6,139.7,1
107.75,91.28,13,24.6,22.4,139.2,1
107.35,91.42,13.01,35.4,21,139.8,1
107.35,91.28,13.01,36.3,20.8,139.9,1
107.4,91.35,13.02,33,22,140,1
107.2,91.14,12.99,30.3,24,139.2,1
107.4,91.21,13.04,30.3,24.2,139.6,1
107.55,91.42,13.03,36.9,20.4,139.6,1
107.65,91.56,13.11,34.8,21.2,140.2,1
107.55,91.49,13.04,31.5,22.4,139.7,1
107.35,91.35,13.05,29.7,20.6,140.1,1
107.45,91,13.03,30.6,22.8,139.6,1
107.5,91.28,13.04,28.2,23.2,140.2,1
107.75,91.49,13.03,30.6,23.6,140,1
107.55,91.14,13.02,30.3,22.6,140.3,1
107.25,91.14,13.06,29.4,24.2,139.9,1
107.15,91.14,13,32.1,21,139.8,1
107.25,91.14,12.98,36.9,22.4,139.2,1
107.45,91.35,13.02,31.8,23,139.9,1
107.3,91.14,13.04,31.5,23.6,139.7,1
107.1,91,13.02,33,22.4,139.5,1
107.4,91.07,13.01,35.7,22.2,139.5,1
107.3,90.86,13.02,32.1,22.2,139.4,1
107.45,91.49,13.03,27.9,22.4,138.3,1
107.3,91.28,13.04,33.9,21.6,139.8,1
107.25,91.35,13.02,35.4,20.4,139.6,1
107.4,91.14,13.03,30,23.8,139.3,1
107.35,91,12.94,30.6,22,139.2,1
107.3,91.14,13.04,33.6,21.4,139.9,1
107.5,91.35,13.04,31.8,22.2,139.9,1
107.25,90.86,12.98,34.2,20,139.3,1
107.45,91.42,13.04,35.7,21,139.8,1
107.5,91.35,13.04,34.2,21.4,139.9,1
107.65,91.42,13.03,27.9,22.6,138.1,1
107.35,91.14,13.01,32.1,22,139.4,1
107.45,90.93,13,29.7,24.6,139.4,1
107.45,91.21,12.99,35.7,21.2,139.8,1
107.3,90.93,12.97,35.7,20.2,139,1
107.3,90.79,12.93,31.2,22,139.3,1
107.25,91.07,13.01,36.3,20.6,139.4,1
107.25,91.21,13,33,23,139.5,1
107.55,91,13.03,34.8,21,139.7,1
107.1,90.79,12.96,30.9,22.8,139.5,1
107.2,91.07,13,33.9,21.4,139.2,1
107.4,91.28,13.06,37.5,20,139.3,1
107.3,91.42,13.01,24.3,24.2,137.9,1
107.8,91.07,12.97,22.2,24.4,138.4,1
107.45,91.35,13.01,29.7,20.4,138.1,1
107.3,91.07,13,34.5,21.2,139.5,1
107.35,91.07,13.02,34.8,21.8,139.1,1
107.15,91.21,13,34.2,21,139.8,1
107.55,91.21,13.06,30.9,24,139.7,1
108.15,91.49,13.04,30,20.2,138.8,1
107.8,91.28,13.01,28.8,22.4,138.6,1
107.4,90.93,12.98,28.8,24,139.6,1
107.45,91,12.99,34.2,21.8,139.7,1
106.95,91.49,13.05,26.1,23,137.8,1
107.1,91.42,13.04,36,20.4,139.6,1
107.4,91.35,13.03,35.4,21,139.4,1
107.4,90.72,13,31.2,23.2,139.2,1
107.4,91.07,13,34.2,21,139.6,1
107.45,91.28,13.02,35.7,21.4,139,1
107.15,91.07,13.01,34.8,21,139.7,1
107.25,91.28,13,29.7,24,139.6,1
107.4,91.35,13.03,30.6,24.2,139.1,1
107.25,91.14,13.04,24.6,23.6,137.8,1
107.5,91.28,13.01,34.2,21.4,139.1,1
107.4,91.42,13.06,24,22.8,138.7,1
107.5,91.35,13.01,33,22.8,139.3,1
107.3,91.35,13.04,30.3,22.8,139.3,1
107.35,91.14,13.01,32.1,22.2,139.5,1
107.35,91.28,13,34.5,21.4,139.4,1
107.25,91.28,13,24,24.4,138.5,1
107.4,91,12.97,34.2,21.2,139.2,1
107.4,90.93,13.02,28.8,23.8,139.4,1
107.3,91.21,13.02,38.1,18.2,139.2,1
107.55,91.14,12.98,30.6,24,139.4,1
107.7,91.35,13.06,26.4,22,138.6,1
107.35,91.21,13.02,32.4,22.2,139.2,1
107.5,91.35,13.03,28.8,22,138.5,1
107.45,91.21,13.05,34.8,21.2,139.8,1
107.5,91.28,13.03,29.7,24.2,139.6,1
107.55,91.21,12.99,30.9,23,139.7,1
107.4,91.21,13.04,31.8,22.2,140,1
107.35,91.49,13.08,33.6,22.4,139.4,1
107.15,90.93,12.99,30.6,23,139.6,1
Exercício 2 Pratico:
Invente um exemplo (se inventar, envie uma copia para gasarrie@usp,br) para aplicar ML Supervisionado para Predição ou troque os sinais de interrogação pelos últimos dígitos do seu numero USP no arquivo da Biodiversidade Animal. Checar os resultados com regressão convencional e robusta (em SAS):
@RELATION biodiv_Animal
@ATTRIBUTE dbo REAL
@ATTRIBUTE ICob_V REAL
@ATTRIBUTE ICArb REAL
@ATTRIBUTE BCont REAL
@ATTRIBUTE Dist_Pla REAL
@ATTRIBUTE Ibd_A REAL
@DATA
1.???,89,??,11,9,90
0.385,90,61,10,8.9,??
0.216,91,62,9,9.1,92
0.303,90,59,10,8.8,89
1.961,20,12,81,0.2,20
0.782,21,14,79,0.3,22
0.57,22,15,78,0.25,23
2.187,22,12,77,0.2,24
0.764,59,35,41,6,60
0.273,60,32,40,6.5,61
1.883,64,33,38,5.8,63
0.581,62,32,37,5.6,62
0.18,79,50,21,8.2,80
0.007,80,49,20,7.8,79
2.028,80,48,18,8.2,81
2.431,79,47,21,7.7,78
Machine Learning para Predição -
Regressão - Biodiversidade
Animal
Quais Variáveis Preditoras - IA (Variáveis Independentes ou Causa para a Estatística) impactam na Biodiversidade Animal?
DBO – Demanda Bioquímica de Oxigênio
ICobV – Índice de Cobertura Vegetal
ICArb – Índice de Cobertura Arbórea
IBCont – Bioindicador de Contaminação (agrotóxicos)
Dis_Pl – Distancia do plantio de grãos.
Modelo Matemático:
Biodiversidade Animal = a + b*DBO +c*ICobV+ d*ICArb+e*IBCont+f*Dis_Pl
Área de Cultivo de Grãos
Soja - Milho - Algodão - Trigo - Aveia
DBO | ICobV | ICArb | Bcont | Dis_Pl | IBD_A |
1,604 | 89 | 60 | 11 | 9 | 90 |
0,385 | 90 | 61 | 10 | 8,9 | 91 |
0,216 | 91 | 62 | 9 | 9,1 | 92 |
0,303 | 90 | 59 | 10 | 8,8 | 89 |
1,961 | 20 | 12 | 81 | 0,2 | 20 |
0,782 | 21 | 14 | 79 | 0,3 | 22 |
0,57 | 22 | 15 | 78 | 0,25 | 23 |
2,187 | 22 | 12 | 77 | 0,2 | 24 |
0,764 | 59 | 35 | 41 | 6 | 60 |
0,273 | 60 | 32 | 40 | 6,5 | 61 |
1,883 | 64 | 33 | 38 | 5,8 | 63 |
0,581 | 62 | 32 | 37 | 5,6 | 62 |
0,18 | 79 | 50 | 21 | 8,2 | 80 |
0,007 | 80 | 49 | 20 | 7,8 | 79 |
2,028 | 80 | 48 | 18 | 8,2 | 81 |
2,431 | 79 | 47 | 21 | 7,7 | 78 |
Resultado do Weka (MLS para Previsão)
bd_A =
0.2508 * ICob_V + Diferença com o Excel
0.1578 * ICArb + OK Excel
-0.4855 * BCont + OK Excel
1.147 * Dist_Pla + OK Excel
52.8115
