Results
This section presents experimental results.
Last updated
This section presents experimental results.
Last updated
Create a table displaying experimental results from your on each and evaluation metric. The table should also include results from previous work directly comparable to yours.
Here are a few tips for creating the result table:
Expand it to the full page if it consists of many columns.
Use acronyms for the header titles if too long, and explain them in the caption.
If space allows, include both the average scores and standard deviations. The standard deviation is usually notated by the plus-minus sign (e.g., ).
Highlight the key results by making them bold.
Once the result table is presented, you need to give an interpretation of the results. First, summarize the overall observations:
Each model shows an incremental improvement over its predecessor.
MODEL 2 shows a noticeable improvement over MODEL 1, indicating the effectiveness of our METHOD.
The ADVANCED MODEL shows a significant improvement of #.#% from the BASELINE MODEL.
Then, describe any key findings:
It is interesting that MODEL 2 shows better performance over MODEL 1 on DATASET 1 but the results are opposite on DATASET 2.
It is likely because METHOD works well for ASPECTS in DATASET 1, but not necessairly for ASPECTS in DATASET 2 (Section #.#).
Finally, explain any additional results that are not included in the table but help readers interpret this work better:
It it worth mentioning that we also experimented with METHOD 1, which showed a similar result as METHOD 2.
Give an interpretation for each key finding (and indicate a specific subsection in the section where further analysis is provided):