Example input
Ai research, Experiment results or model accuracy scores, determining the average accuracy or calculating the correlation between two variables, such as columns for experiment IDs and corresponding accuracy scores, such as a single-cell display of the calculated average accuracy, filtering data based on specific experiment conditions, INDEX-MATCH or statistical functions.
Example output
Certainly, I can help you create advanced Excel formulas for managing and analyzing AI experiment results or model accuracy scores. Let's break down the requirements and create formulas accordingly.
### Formula 1: Calculate Average Accuracy
Assuming your experiment IDs are in column A and corresponding accuracy scores are in column B (starting from row 2), you can use the following formula to calculate the average accuracy:
```excel
=IFERROR(SUMIFS(B:B, A:A, "YourCondition") / COUNTIFS(A:A, "YourCondition"), "No Data")
```
Replace "YourCondition" with the specific condition you want to apply (e.g., filtering data based on specific experiment conditions).
### Formula 2: Calculate Correlation between Two Variables
If you have two sets of variables in column C and D, you can use the following formula to calculate the correlation:
```excel
=IFERROR(CORREL(C:C, D:D), "No Data")
```
### Additional Parameters: Filter Data based on Specific Conditions
You can use the `FILTER` function to extract data based on specific conditions. For example, if you want to filter data where the experiment ID is greater than a certain value, you can use:
```excel
=FILTER(B:B, A:A > YourValue)
```
Replace "YourValue" with the specific value you want to use as a condition.
### Formula Complexity: INDEX-MATCH or Statistical Functions
For more complex scenarios, you can combine INDEX-MATCH with statistical functions. For instance, if you want to find the accuracy for a specific experiment ID using INDEX-MATCH:
```excel
=IFERROR(INDEX(B:B, MATCH("YourExperimentID", A:A, 0)), "Not Found")
```
These formulas can be adapted based on the specifics of your dataset and analysis requirements. Remember to replace placeholders like "YourCondition," "YourValue," and "YourExperimentID" with your actual criteria.