Decision Trees | Data Science with Marco
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Top Comments (1)
Hi Marco ! Thanks for another useful video. A few questions. First, how do we obtain trees for random forest models? I tried to use the same code as used in Baseline decision tree but got an error "'RandomForestClassifier' object has no attribute 'tree_'". Second, can you interpret the results a little here? For eg. In the baseline tree the tree seems to start with [X2] is it referring to the second variable on the X axis which would mean BMI is the most important predictor of breast cancer? Interpretation of the variables is extremely crucial for proper understanding.
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Top Comments (1)
Hi Marco ! Thanks for another useful video. A few questions. First, how do we obtain trees for random forest models? I tried to use the same code as used in Baseline decision tree but got an error "'RandomForestClassifier' object has no attribute 'tree_'". Second, can you interpret the results a little here? For eg. In the baseline tree the tree seems to start with [X2] is it referring to the second variable on the X axis which would mean BMI is the most important predictor of breast cancer? Interpretation of the variables is extremely crucial for proper understanding.