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-rw-r--r--benchmark/README.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/benchmark/README.md b/benchmark/README.md
index aa198f2b41..8796e1e7b6 100644
--- a/benchmark/README.md
+++ b/benchmark/README.md
@@ -161,7 +161,7 @@ For analysing the benchmark results use the `compare.R` tool.
```console
$ cat compare-pr-5134.csv | Rscript benchmark/compare.R
- improvement significant p.value
+ improvement confidence p.value
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=1024 encoding=ascii 12.46 % *** 1.165345e-04
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=1024 encoding=base64-ascii 24.70 % *** 1.820615e-15
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=1024 encoding=base64-utf8 23.60 % *** 2.105625e-12
@@ -171,7 +171,7 @@ string_decoder/string-decoder.js n=250000 chunk=1024 inlen=128 encoding=ascii
```
In the output, _improvement_ is the relative improvement of the new version,
-hopefully this is positive. _significant_ tells if there is enough
+hopefully this is positive. _confidence_ tells if there is enough
statistical evidence to validate the _improvement_. If there is enough evidence
then there will be at least one star (`*`), more stars is just better. **However
if there are no stars, then you shouldn't make any conclusions based on the
@@ -189,7 +189,7 @@ may require more runs to obtain (can be set with `--runs`).
_For the statistically minded, the R script performs an [independent/unpaired
2-group t-test][t-test], with the null hypothesis that the performance is the
-same for both versions. The significant field will show a star if the p-value
+same for both versions. The confidence field will show a star if the p-value
is less than `0.05`._
The `compare.R` tool can also produce a box plot by using the `--plot filename`
@@ -202,7 +202,7 @@ keep the first line since that contains the header information.
```console
$ cat compare-pr-5134.csv | sed '1p;/encoding=ascii/!d' | Rscript benchmark/compare.R --plot compare-plot.png
- improvement significant p.value
+ improvement confidence p.value
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=1024 encoding=ascii 12.46 % *** 1.165345e-04
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=128 encoding=ascii 6.70 % * 2.928003e-02
string_decoder/string-decoder.js n=250000 chunk=1024 inlen=32 encoding=ascii 7.47 % *** 5.780583e-04