diff --git a/GLOSSARY.md b/GLOSSARY.md
index e452821..675cd07 100644
--- a/GLOSSARY.md
+++ b/GLOSSARY.md
@@ -93,4 +93,40 @@
- **Steps25thAt**: Average time of day when 25% of steps was accumulated.
- **Steps50thAt**: Average time of day when 50% of steps was accumulated.
- **Steps75thAt**: Average time of day when 75% of steps was accumulated.
- - **Steps95thAt**: Average time of day when 95% of steps was accumulated.
\ No newline at end of file
+ - **Steps95thAt**: Average time of day when 95% of steps was accumulated.
+
+
+## Random Forest Feature List
+The table below describes the handcrafted features used as inputs to the Random Forest model.
+These features are extracted from the Euclidean norm of the triaxial accelerometer data.
+
+| Feature Name | Description | Units |
+|---------------------------------|--------------------------------------------------------------------|----------------|
+| Moment features |
+| avg | Mean | g |
+| std | Standard deviation | g |
+| skew | Skewness | |
+| kurt | Kurtosis | |
+| Quantile Features |
+| min | Minimum | g |
+| q25 | Lower quartile | g |
+| med | Median | g |
+| q75 | Upper quartile | g |
+| max | Maximum | g |
+| Autocorrelation features |
+| acf_1st_max | Maximum autocorrelation | |
+| acf_1st_max_loc | Location of 1st autocorrelation maximum | s |
+| acf_1st_min | Minimum autocorrelation | |
+| acf_1st_min_loc | Location of 1st autocorrelation minimum | s |
+| acf_zeros | Number of autocorrelation zero-crossings | |
+| Spectral features |
+| pentropy | Signal's spectral entropy | nats |
+| power | Signal's total power | g2/s |
+| f1, f2, f3 | 1st, 2nd and 3rd dominant frequencies | Hz |
+| p1, p2, p3 | Power spectral densities of respective dominant frequencies | g2/s |
+| fft0, fft1, fft2, ... | Power spectral density for frequencies 0Hz, 1Hz, 2Hz, ... | g2/s |
+| Peak features |
+| npeaks | Number of peaks in the signal per second | 1/s |
+| peaks_avg_promin | Average prominence of peaks | g |
+| peaks_min_promin | Minimum prominence of peaks | g |
+| peaks_max_promin | Maximum prominence of peaks | g |
diff --git a/README.md b/README.md
index a894b1a..760f8b5 100644
--- a/README.md
+++ b/README.md
@@ -116,7 +116,7 @@ $ stepcount sample.cwa -t rf
When using the random forest model, a set of signal features is extracted from the accelerometer data.
These features are subsequently used as inputs for the model's classification process.
-For a comprehensive list of the extracted features, see [this list](https://github.com/OxWearables/stepcount/blob/main/rf-feature-list.md).
+For a comprehensive list of the extracted features, see [the glossary](https://github.com/OxWearables/stepcount/blob/main/GLOSSARY.md#random-forest-feature-list).
### Crude vs. Adjusted Estimates
diff --git a/rf-feature-list.md b/rf-feature-list.md
deleted file mode 100644
index 902e151..0000000
--- a/rf-feature-list.md
+++ /dev/null
@@ -1,34 +0,0 @@
-# Random Forest Feature List
-The table below presents an overview of the handcrafted features that have been curated as inputs for the Random Forest model.
-These features are extracted from the Euclidean norm of the triaxial accelerometer data, minus 1 to remove gravity.
-
-| Feature Name | Description | Units |
-|---------------------------------|--------------------------------------------------------------------|----------------|
-| Moment features |
-| avg | Mean | g |
-| std | Standard deviation | g |
-| skew | Skewness | |
-| kurt | Kurtosis | |
-| Quantile Features |
-| min | Minimum | g |
-| q25 | Lower quartile | g |
-| med | Median | g |
-| q75 | Upper quartile | g |
-| max | Maximum | g |
-| Autocorrelation features |
-| acf_1st_max | Maximum autocorrelation | |
-| acf_1st_max_loc | Location of 1st autocorrelation maximum | s |
-| acf_1st_min | Minimum autocorrelation | |
-| acf_1st_min_loc | Location of 1st autocorrelation minimum | s |
-| acf_zeros | Number of autocorrelation zero-crossings | |
-| Spectral features |
-| pentropy | Signal's spectral entropy | nats |
-| power | Signal's total power | g2/s |
-| f1, f2, f3 | 1st, 2nd and 3rd dominant frequencies | Hz |
-| p1, p2, p3 | Power spectral densities of respective dominant frequencies | g2/s |
-| fft0, fft1, fft2, ... | Power spectral density for frequencies 0Hz, 1Hz, 2Hz, ... | g2/s |
-| Peak features |
-| npeaks | Number of peaks in the signal per second | 1/s |
-| peaks_avg_promin | Average prominence of peaks | g |
-| peaks_min_promin | Minimum prominence of peaks | g |
-| peaks_max_promin | Maximum prominence of peaks | g |