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Hi,
I tried to run rf_opt where my train has dim=101673, 10 whilst my test dim=43574, 10.
I face this error:
Error in table(testlabel, t.pred$predictions) :
all arguments must have the same length
Timing stopped at: 4.31 0.22 1.81
I've checked there's no NA values on both dataset.
All my variables are factor.
When i run iris_train and iris_test it run smoothly. when i use iris_train as is and sampled the iris_test to 30 it still work.
when I sample my train and test both to 1000 rf_opt run smoothly.
So I'm kind of confussed here. If it because of different number of rows why on iris dataset with different number of rows it still work.
thx.
The text was updated successfully, but these errors were encountered:
Hi,
I tried to run rf_opt where my train has dim=101673, 10 whilst my test dim=43574, 10.
I face this error:
Error in table(testlabel, t.pred$predictions) :
all arguments must have the same length
Timing stopped at: 4.31 0.22 1.81
I've checked there's no NA values on both dataset.
All my variables are factor.
When i run iris_train and iris_test it run smoothly. when i use iris_train as is and sampled the iris_test to 30 it still work.
when I sample my train and test both to 1000 rf_opt run smoothly.
So I'm kind of confussed here. If it because of different number of rows why on iris dataset with different number of rows it still work.
thx.
The text was updated successfully, but these errors were encountered: