Can't view prediction result with built model in R
I'm a beginner with R, and just had some trouble with the prediction function.
I built a Random Forest model with h2o, where the y is 0/1(buy/no buy).
Then, I tried to use the predict() function to apply the model to a new dataset
eg: pre=predict(rf,test_data)
I can see the summary of my prediction result like below:
> summary(pre)
predict p0 p1
0:998 Min. :0.0000 Min. :5.601e-05
1: 97 1st Qu.:0.9989 1st Qu.:5.601e-05
Median :0.9989 Median :5.601e-05
Mean :0.9150 Mean :8.498e-02
3rd Qu.:0.9989 3rd Qu.:5.601e-05
Max. :0.9999 Max. :1.000e+00
But, I couldn't View() my prediction result as a list. Here is what I got when using View(pre):
Ultimately, I'd like to know which row has been predicted as 1(buy), which row has been predicted as 0(no buy). Does anyone know how to resolve this issue?
thanks a lot!
r h2o
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
add a comment |
I'm a beginner with R, and just had some trouble with the prediction function.
I built a Random Forest model with h2o, where the y is 0/1(buy/no buy).
Then, I tried to use the predict() function to apply the model to a new dataset
eg: pre=predict(rf,test_data)
I can see the summary of my prediction result like below:
> summary(pre)
predict p0 p1
0:998 Min. :0.0000 Min. :5.601e-05
1: 97 1st Qu.:0.9989 1st Qu.:5.601e-05
Median :0.9989 Median :5.601e-05
Mean :0.9150 Mean :8.498e-02
3rd Qu.:0.9989 3rd Qu.:5.601e-05
Max. :0.9999 Max. :1.000e+00
But, I couldn't View() my prediction result as a list. Here is what I got when using View(pre):
Ultimately, I'd like to know which row has been predicted as 1(buy), which row has been predicted as 0(no buy). Does anyone know how to resolve this issue?
thanks a lot!
r h2o
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
You just need toprint(pre)to see the prediction result for each row.
– TeeKea
Nov 23 '18 at 6:15
usepre_df <- as.data.frame(pre)to get it in R
– s.brunel
Nov 23 '18 at 7:44
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40
add a comment |
I'm a beginner with R, and just had some trouble with the prediction function.
I built a Random Forest model with h2o, where the y is 0/1(buy/no buy).
Then, I tried to use the predict() function to apply the model to a new dataset
eg: pre=predict(rf,test_data)
I can see the summary of my prediction result like below:
> summary(pre)
predict p0 p1
0:998 Min. :0.0000 Min. :5.601e-05
1: 97 1st Qu.:0.9989 1st Qu.:5.601e-05
Median :0.9989 Median :5.601e-05
Mean :0.9150 Mean :8.498e-02
3rd Qu.:0.9989 3rd Qu.:5.601e-05
Max. :0.9999 Max. :1.000e+00
But, I couldn't View() my prediction result as a list. Here is what I got when using View(pre):
Ultimately, I'd like to know which row has been predicted as 1(buy), which row has been predicted as 0(no buy). Does anyone know how to resolve this issue?
thanks a lot!
r h2o
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
I'm a beginner with R, and just had some trouble with the prediction function.
I built a Random Forest model with h2o, where the y is 0/1(buy/no buy).
Then, I tried to use the predict() function to apply the model to a new dataset
eg: pre=predict(rf,test_data)
I can see the summary of my prediction result like below:
> summary(pre)
predict p0 p1
0:998 Min. :0.0000 Min. :5.601e-05
1: 97 1st Qu.:0.9989 1st Qu.:5.601e-05
Median :0.9989 Median :5.601e-05
Mean :0.9150 Mean :8.498e-02
3rd Qu.:0.9989 3rd Qu.:5.601e-05
Max. :0.9999 Max. :1.000e+00
But, I couldn't View() my prediction result as a list. Here is what I got when using View(pre):
Ultimately, I'd like to know which row has been predicted as 1(buy), which row has been predicted as 0(no buy). Does anyone know how to resolve this issue?
thanks a lot!
r h2o
r h2o
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
edited Nov 23 '18 at 7:12
Marcus Campbell
2,01921027
2,01921027
asked Nov 23 '18 at 5:42
yixuan
1
asked Nov 23 '18 at 5:42
yixuan
1
asked Nov 23 '18 at 5:42
yixuan
1
1
You just need toprint(pre)to see the prediction result for each row.
– TeeKea
Nov 23 '18 at 6:15
usepre_df <- as.data.frame(pre)to get it in R
– s.brunel
Nov 23 '18 at 7:44
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40
add a comment |
You just need toprint(pre)to see the prediction result for each row.
– TeeKea
Nov 23 '18 at 6:15
usepre_df <- as.data.frame(pre)to get it in R
– s.brunel
Nov 23 '18 at 7:44
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40
You just need to
print(pre) to see the prediction result for each row.– TeeKea
Nov 23 '18 at 6:15
You just need to
print(pre) to see the prediction result for each row.– TeeKea
Nov 23 '18 at 6:15
use
pre_df <- as.data.frame(pre) to get it in R– s.brunel
Nov 23 '18 at 7:44
use
pre_df <- as.data.frame(pre) to get it in R– s.brunel
Nov 23 '18 at 7:44
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40
add a comment |
2 Answers
2
active
oldest
votes
@s.brunel has the right answer. Keep in mind when writing routines that with binary predictions it will return three variables. Whereas when predicting a continuous variable you get a single variable.
answered Nov 28 '18 at 14:53
Jsimp
62
add a comment |
posting the answer to make it easier to find.
If you want to use R functions on an H2OFrame you will first need to convert that H2OFrame to an R frame and you can do that as follows for your particular case:
pre_df <- as.data.frame(pre)
Please also note that some H2O functions use the same naming convention as R functions, so while you may think the summary() function was an R function it was actually the H2O summary() function which does the same thing as the R function but for an H2OFrame.
answered Nov 29 '18 at 20:39
Lauren
3,0111515
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
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active
oldest
votes
@s.brunel has the right answer. Keep in mind when writing routines that with binary predictions it will return three variables. Whereas when predicting a continuous variable you get a single variable.
answered Nov 28 '18 at 14:53
Jsimp
62
add a comment |
@s.brunel has the right answer. Keep in mind when writing routines that with binary predictions it will return three variables. Whereas when predicting a continuous variable you get a single variable.
answered Nov 28 '18 at 14:53
Jsimp
62
add a comment |
@s.brunel has the right answer. Keep in mind when writing routines that with binary predictions it will return three variables. Whereas when predicting a continuous variable you get a single variable.
answered Nov 28 '18 at 14:53
Jsimp
62
@s.brunel has the right answer. Keep in mind when writing routines that with binary predictions it will return three variables. Whereas when predicting a continuous variable you get a single variable.
answered Nov 28 '18 at 14:53
Jsimp
62
answered Nov 28 '18 at 14:53
Jsimp
62
answered Nov 28 '18 at 14:53
Jsimp
62
answered Nov 28 '18 at 14:53
Jsimp
62
62
add a comment |
add a comment |
posting the answer to make it easier to find.
If you want to use R functions on an H2OFrame you will first need to convert that H2OFrame to an R frame and you can do that as follows for your particular case:
pre_df <- as.data.frame(pre)
Please also note that some H2O functions use the same naming convention as R functions, so while you may think the summary() function was an R function it was actually the H2O summary() function which does the same thing as the R function but for an H2OFrame.
answered Nov 29 '18 at 20:39
Lauren
3,0111515
add a comment |
posting the answer to make it easier to find.
If you want to use R functions on an H2OFrame you will first need to convert that H2OFrame to an R frame and you can do that as follows for your particular case:
pre_df <- as.data.frame(pre)
Please also note that some H2O functions use the same naming convention as R functions, so while you may think the summary() function was an R function it was actually the H2O summary() function which does the same thing as the R function but for an H2OFrame.
answered Nov 29 '18 at 20:39
Lauren
3,0111515
add a comment |
posting the answer to make it easier to find.
If you want to use R functions on an H2OFrame you will first need to convert that H2OFrame to an R frame and you can do that as follows for your particular case:
pre_df <- as.data.frame(pre)
Please also note that some H2O functions use the same naming convention as R functions, so while you may think the summary() function was an R function it was actually the H2O summary() function which does the same thing as the R function but for an H2OFrame.
answered Nov 29 '18 at 20:39
Lauren
3,0111515
posting the answer to make it easier to find.
If you want to use R functions on an H2OFrame you will first need to convert that H2OFrame to an R frame and you can do that as follows for your particular case:
pre_df <- as.data.frame(pre)
Please also note that some H2O functions use the same naming convention as R functions, so while you may think the summary() function was an R function it was actually the H2O summary() function which does the same thing as the R function but for an H2OFrame.
answered Nov 29 '18 at 20:39
Lauren
3,0111515
answered Nov 29 '18 at 20:39
Lauren
3,0111515
answered Nov 29 '18 at 20:39
Lauren
3,0111515
answered Nov 29 '18 at 20:39
Lauren
3,0111515
3,0111515
add a comment |
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You just need to
print(pre)to see the prediction result for each row.– TeeKea
Nov 23 '18 at 6:15
use
pre_df <- as.data.frame(pre)to get it in R– s.brunel
Nov 23 '18 at 7:44
hi s.brunel, thanks a lot! this works!
– yixuan
Nov 26 '18 at 15:40