Full breakdown of decision tree

[ipazin]

Hello @chrishy,

I see. This is due to how decision tree (algorithm) works. You have small sample so tree simply stops growing If you set minimum number of records per node to one (1) you’ll probably see another (nominal) level in your tree…

Here are couple of thoughts on predictive modelling with small data sets from KNIME Community exprerts:

Small Dataset Predictive Modeling

Hi Community, I am working with a very small dataset (9 rows and 7 attributes). Is it even feasible to train a predictive model with such a small dataset (i.e. decision tree, neural network,etc)? Even if i could train a model, how much weight can I put into the accuracy? Thanks in advance for any feedback!!

And how knows, maybe they join discussion and provide their opinion/ideas on data set provided

Br,
Ivan