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“BOF” Trees Diagram as a Visual Way to Improve Interpretability of Tree Ensembles
Puni tekst: pdf (340 KB),
Str. 111 - 118
The motivation for this research stemmed from a desire
to create visual aids to help researchers/managers interpret
ensembles of decision tree outputs generated by
various algorithms. The method employed a simulation
experiment (using only bagging) followed by application
of the new visualization tools on actual survey data.
Simulated data, with a pre-specified structure, were
"bagged" with the results presented using five graphical
tools that recreated (and/or portrayed) the known data
structures captured by the bagging algorithm. Then
the same methodology was generalized to a structurally
unknown, virgin (survey) data set. Results of the
research are that five visual aids tools were examined (two of which are new approaches) and found to be
useful for making action-oriented interpretations from
e.g., web-survey data.
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