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-rw-r--r--posts/2018-12-02-lime-shapley.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/posts/2018-12-02-lime-shapley.md b/posts/2018-12-02-lime-shapley.md
index 233de19..152036b 100644
--- a/posts/2018-12-02-lime-shapley.md
+++ b/posts/2018-12-02-lime-shapley.md
@@ -268,7 +268,7 @@ becomes
$$v(S) = \mathbb E_{z_{N \setminus S} \sim \mu_{N \setminus S}} f(x_S, z_{N \setminus S}) \qquad (8)$$
-For example, Strumbelj-Kononenko (2010) considers this where $\mu$ is
+For example, Strumbelj-Kononenko (2010) considers this scenario where $\mu$ is
the uniform distribution over $X$, see Definition 4 there.
A further simplification is model linearity, which means $f$ is linear.
@@ -300,7 +300,7 @@ Evaluating SHAP
---------------
The quest of the SHAP paper can be decoupled into two independent components:
-the niceties of Shapley values and the choice of the coalitional game $v$.
+showing the niceties of Shapley values and choosing the coalitional game $v$.
The SHAP paper argues that Shapley values $\phi_i(v)$ are a good measurement because they
are the only values satisfying the some nice properties including the Efficiency