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neuroimagen:bioface_atn [2021/09/09 09:59] osotolongo [What we got so far] |
neuroimagen:bioface_atn [2021/09/12 10:21] osotolongo [What we got so far] |
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</ | </ | ||
+ | ^ Clasificación ^ Probabilidades de N+ ^ | ||
| {{ : | | {{ : | ||
- | ==== random Forest | + | ==== Métodos no lineales |
- | Vamos a intentar con métodos no lineales, | + | Vamos a intentar con métodos no lineales. Ojo, estos métodos no tienen interpretación probabilistica. Son construcciones matemáticas que funcionan. |
+ | === random Forest === | ||
+ | |||
+ | ** BIOFACE ** | ||
< | < | ||
+ | rf_cl <- randomForest(ND ~ ., data = xt, na.action = na.omit) | ||
+ | base$ND <- predict(rf_cl, | ||
+ | base$post <- predict(rf_cl, | ||
+ | plot(base$AGE, | ||
+ | hist(base$post[, | ||
+ | </ | ||
+ | {{ : | ||
+ | |||
+ | **FACEHBI** | ||
+ | |||
+ | < | ||
+ | face$ND <- predict(rf_cl, | ||
+ | face$post <- predict(rf_cl, | ||
+ | plot(face$AGE, | ||
+ | hist(face$post[, | ||
</ | </ | ||
+ | |||
+ | {{ : | ||
+ | |||
+ | === support-vector machine === | ||
+ | |||
+ | **BIOFACE** | ||
+ | |||
+ | < | ||
+ | svm_cl <- svm(ND ~ ., data = xt, na.action = na.omit) | ||
+ | base$ND <- predict(svm_cl, | ||
+ | plot(base$AGE, | ||
+ | </ | ||
+ | |||
+ | {{ : | ||
+ | |||
+ | ** FACEHBI ** | ||
+ | |||
+ | < | ||
+ | face$ND <- predict(svm_cl, | ||
+ | plot(face$AGE, | ||
+ | </ | ||
+ | |||
+ | {{ : |