Overview¶
Actable AI offers the easiest way to analyze your data with AI-powered Data Science. Our powerful Causal AI & Machine Learning technologies give everyone a superpower to find actionable insights - without coding.
This documentation covers the Actable AI web application and the Actable AI Google Sheets add-on.
Contents¶
- Glossary of Terms
- A/B Test
- Accuracy
- Analytics
- Area Under the ROC Curve (AUC)
- Confounding variable
- Confusion Matrix
- Cross-Validation
- Degrees Of Freedom
- Double Machine Learning
- F-score
- Histogram
- Hyperparameters
- Matthew’s Correlation Coefficient (MCC)
- Mean Absolute Error (MAE)
- Median Absolute Deviation (MAD)
- Mean Squared Error (MSE)
- Null Hypothesis
- Outcome variable
- P-Value
- Precision
- Quantile
- R-Squared (R2)
- Recall
- Receiver Operating Characteristics (ROC) Curve
- Root Mean Squared Error (RMSE)
- Shapley Values
- Spearman’s Rank-Order Correlation Coefficient (SROCC)
- Testing set
- Training set
- Treatment variable
- Validation set
- Useful Resources
- Load & Explore Data
- Google Docs Extension
- Analytics
- Security
- FAQ
- Developer Contribution