如何将决策树分类器转换为手动过程？

Question

I am attempting to create a normalization (classification) for certain rock types using scikit-learn. I have my classifier (using the sklearn.tree.DecisionTreeClassifier) and am attempting to turn it into some process that you could do implement paper if need be. The classifier uses 11 dimensional data like the following:

ROCK NAME |SIO2 |TIO2| AL2O3|   CR2O3|  FEOT|   CAO|    MGO|    MNO|    K2O|    NA2O|   P2O5|  
WEHRLITE    |45.42| 0.17|   2.57|   0.32|   11.3384|    7.54|   31.93|  0.17|   0.01|   0.24|   0.01|    

I already used tree.export_graphviz to develop a flowchart:

This is how another type of normalization is laid out which I would like mine to be like: link
any ideas?

Answer 1

该页面似乎在讨论如何绘制scikit决策树。