mirror of
https://asciireactor.com/otho/cs-5821.git
synced 2024-11-22 03:55:07 +00:00
80 lines
2.2 KiB
R
80 lines
2.2 KiB
R
auto = read.table("auto.data",header=T,na.strings="?")
|
|
auto$mpg01=rep(0,397)
|
|
auto$mpg01[auto$mpg>median(auto$mpg)]=1
|
|
library(ISLR)
|
|
library(MASS)
|
|
library(class)
|
|
train_bools <- (auto$year %% 2 == 0)
|
|
train_data = auto[train_bools,]
|
|
test_data = auto[!train_bools,]
|
|
help(knn)
|
|
help(knn)
|
|
train <- rbind(iris3[1:25,,1], iris3[1:25,,2], iris3[1:25,,3])
|
|
test <- rbind(iris3[26:50,,1], iris3[26:50,,2], iris3[26:50,,3])
|
|
train
|
|
test
|
|
?knn
|
|
cl <- factor(c(rep("s",25), rep("c",25), rep("v",25)))
|
|
cl
|
|
length(cl)
|
|
length(train)
|
|
nrows(train)
|
|
nrow(train)
|
|
train.X
|
|
train.X = cbind(auto$horsepower,auto$displacement,auto$weight,auto$acceleration)[train_bools,]
|
|
train.X
|
|
test.X = cbind(auto$horsepower,auto$displacement,auto$weight,auto$acceleration)[!train_bools,]
|
|
test.X
|
|
train.X
|
|
train.mpg01 = auto$mpg01[train_bools]
|
|
train.mpg01
|
|
length(train.mpg01)
|
|
nrow(train.X)
|
|
knn(train.X,train.Y,train.mpg01,K=1)
|
|
knn(train.X,train.Y,train.mpg01,k=1)
|
|
knn(train.X,test.X,train.mpg01,k=1)
|
|
train.X
|
|
na.omit(train.X)
|
|
?na.omit
|
|
na.omit(train.X)
|
|
na.omit(train.X)
|
|
knn(na.omit(train.X),test.X,train.mpg01,k=1)
|
|
knn(na.omit(train.X),test.X,na.omit(train.mpg01),k=1)
|
|
knn(na.omit(train.X),na.omit(test.X),na.omit(train.mpg01),k=1)
|
|
train.mpg012 = na.omit(auto$mpg01)[train_bools]
|
|
train.mpg012
|
|
train.mpg01
|
|
nrow(train)
|
|
na.omit(auto)
|
|
auto
|
|
na.omit(auto)
|
|
summary(auto)
|
|
summary(na.omit(auto))
|
|
Auto = na.omit(auto)
|
|
auto = na.omit(auto)
|
|
ncol(auto)
|
|
nrow(auto)
|
|
auto <- na.omit(auto)
|
|
train_bools <- (auto$year %% 2 == 0)
|
|
train_data = auto[train_bools,]
|
|
test_data = auto[!train_bools,]
|
|
train.X = cbind(auto$horsepower,auto$displacement,auto$weight,auto$acceleration)[train_bools,]
|
|
test.X = cbind(auto$horsepower,auto$displacement,auto$weight,auto$acceleration)[!train_bools,]
|
|
train.mpg01 = auto$mpg01[train_bools]
|
|
knn.pred = knn(train.X,test.X,train.mpg01,k=1)
|
|
mean(knn.pred != auto$mpg01)
|
|
mean(knn.pred != test_data$mpg01)
|
|
knn.pred = knn(train.X,test.X,train.mpg01,k=2)
|
|
mean(knn.pred != test_data$mpg01)
|
|
knn.pred = knn(train.X,test.X,train.mpg01,k=3)
|
|
mean(knn.pred != test_data$mpg01)
|
|
knn.pred = knn(train.X,test.X,train.mpg01,k=4)
|
|
mean(knn.pred != test_data$mpg0)
|
|
knn.pred
|
|
length(knn.pred)
|
|
dim(knn.pred)
|
|
length(test_data)
|
|
ncol(test_data)
|
|
nrow(test_data)
|
|
q()
|