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1 parent 496ed61 commit eeb3735Copy full SHA for eeb3735
eli5/_decision_path.py
@@ -22,8 +22,8 @@
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DECISION_PATHS_CAVEATS = """
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Caveats:
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1. Feature weights just show if the feature contributed positively or
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- negatively to the final score, and does show how increasing or decreasing
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- the feature value will change the prediction.
+ negatively to the final score, and does not show how increasing or
+ decreasing the feature value will change the prediction.
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2. In some cases, feature weight can be close to zero for an important feature.
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For example, in a single tree that computes XOR function, the feature at the
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top of the tree will have zero weight because expected scores for both
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