model building, model evaluation, and model deployment.
Phase 1: Model Building
• Identify best input variables
• Evaluate the model’s capacity to forecast with these variables
Phase 2: Model Evaluation
• Train and test the model for accuracy
• Optimize model accuracy, performance, and comparisons with other models
Phase 3: Model Deployment
• Use the model for prediction
• Use the model to compare actual outcome with expectations
model building, model evaluation, and model deployment.
Phase 1: Model Building
• Identify best input variables
• Evaluate the model’s capacity to forecast with these variables
Phase 2: Model Evaluation
• Train and test the model for accuracy
• Optimize model accuracy, performance, and comparisons with other models
Phase 3: Model Deployment
• Use the model for prediction
• Use the model to compare actual outcome with expectations
| status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
|---|---|---|---|---|---|---|---|
| repetition number in this series | 0 | memorised on | scheduled repetition | ||||
| scheduled repetition interval | last repetition or drill |