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Model Thinking. Scott E Page. Prediction. Categories. Linear Models. Markov Models. Many Models. Diversity Prediction Theorem. Model Thinking. Scott E Page. Model Thinking. Scott E Page. Prediction. “Lump to Live”. Pear 100 Cake 250 Apple 90 Banana 110 Pie 350.
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Model Thinking Scott E Page
Model Thinking Scott E Page
Model Thinking Scott E Page
Pear 100 Cake 250 Apple 90 Banana 110 Pie 350
Pear (100-180)2= 6400 Cake (250-180)2= 4900 Apple (90-180)2 = 8100 Banana (110-180)2= 4900 Pie (350-180)2=28900 Total Variation = 53,200
DESSERT FRUIT
DESSERT FRUIT Mean = 100 Variation = 200 Mean = 300 Variation = 5000
Total Variation = 53,200 Fruit Variation = 200 Dessert Variation = 5000
R-Squared % Variation Explained 1 – 5200/53,200 90.2%
Linear Model Z = ax + by + cz +….
Calories in Sub Calories = bun + mayo + ham + cheese + onion + tomato + lettuce
Calories in Sub Bun 300 Mayo 200 Ham 50 Cheese 100 Onion 5 Tomato 5 Lettuce 5 Total 665
Model Thinking Scott E Page
Model Thinking Scott E Page
Amy predicts 10 Belle predicts 16 Carlos predicts 25 Average value = 17 Actual value = 18
Error Amy: (10-18)2 = 64 Belle: (16-18) 2 = 4 Carlos: (25-18) 2 = 49 Average Error: 39
Diversity (Variation) Amy: (10-17)2 = 49 Belle: (16-11)2 = 1 Carlos: (25-17)2 = 64 Diversity: 38
Crowd’s error = 1 Average error = 39 Diversity = 38
Diversity Prediction Theorem Crowd Error = Average Error - Diversity Crowd’s Error = Average Error - Diversity
Diversity Prediction Theorem Crowd Error = Average Error - Diversity Crowd’s Error = Average Error - Diversity
Crowd Error = Average Error - Diversity 0.6 = 2,956.0 - 2955.4
Crowd Error = Average Error - Diversity 0.6 = 2,956.0 - 2955.4
Model Thinking Scott E Page
Model Thinking Scott E Page
Model Thinking Scott E Page