"Validate Accuracy with ID3 algorithm"
Hi all, I am trying to validate a decision tree learning model but the result I got is just 30%, not sure where I did wrong.
I am using the UCI Iris data set and randomly selected 50 instances as my sample.
Then, I discretize the data with the operator "discretize by binning".
Next, dragged in "Apply Model" and "Performance".
Lastly, I randomly pick 10 instance from the original data set as the test data.
Here is my setup.
This is the result i get.
Apparently I get 30% accuracy as the result.
Does it mean my model is poorly design?
If my model is correct, how can I conclude the result? 30% is rather poor right?