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Size: a a a
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set.seed(1)но при этом рузультаты не совпадают.
rf.model <- randomForest(SalePrice ~ .,
data = train,
ntree = 50,
nodesize = 5,
mtry = 2,
importance = TRUE,
metric = "RMSE")
library("caret")
caret.oob.model <- train(train[,-ncol(train)], train$SalePrice,
method = "rf",
ntree = 50,
tuneGrid = data.frame(mtry = 2),
nodesize = 5,
importance = TRUE,
metric = "RMSE",
trControl = trainControl(method = "oob", set.seed (1)),
allowParallel = FALSE)
rf.model
caret.oob.model$finalModel
> rf.model
Mean of squared residuals: 1197658364
% Var explained: 81.01
> caret.oob.model$finalModel
Mean of squared residuals: 1236057017
% Var explained: 80.4
Почему так происходит? И как это исправить?answered Apr 19 '16 at 9:18
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answered Apr 19 '16 at 9:18
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Я
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E
library(keras)
mnist <- dataset_mnist()
При попытке запуска такого кода получаю следующее E