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Home → Techniques and Tips → NeuralTools

15. NeuralTools

• 15.1. Recommended Amount of Data
• 15.2. Preparing Data for Neural Tools
• 15.3. Order of Variables, Order of Cases
• 15.4. Dependent Variable Is a Date
• 15.5. Dependent Variable Is a Category
• 15.6. Excluding Variables from Training
• 15.7. Working in Excel during Training and Testing
• 15.8. Multiple CPUs in NeuralTools?
• 15.9. More Than One Dependent Variable in NeuralTools?
• 15.10. Trained Network of Networks
• 15.11. Automating NeuralTools
• 15.12. Data Transformation before Training?
• 15.13. Signal Strength in Trained Networks
• 15.14. Hidden Layers of Neurons
• 15.15. Validation Method
• 15.16. Technical Questions about the Training Process
• 15.17. GPU in NeuralTools
• 15.18. Tradeoffs: Accuracy, Flexibility, Training Speed
• 15.19. Training Time for PN/GRN Nets
• 15.20. Overfitting during Training
• 15.21. Dependent Variable is Binary 1/0 or Yes/No
• 15.22. Correlated Variables and Interactions between Variables
• 15.23. Quantity and Selection of Test Cases
• 15.24. Interpreting Incorrect% in Testing Report
• 15.25. Time Needed for Testing Sensitivity
• 15.26. Testing Results in Training Set Versus Testing Set
• 15.27. When NeuralTools Gives Unsatisfactory Test Results
• 15.28. "None of the Above" Category
• 15.29. Structure of the Trained Network
• 15.30. "Linear Predictor" in Training Report
• 15.31. Internals of the Trained Network
• 15.32. Accessing the Trained Network from Outside Excel
• 15.33. Combining Two Trained Networks
• 15.34. Where Is the Detailed Report?
• 15.35. Inputs Correlated with Target
• 15.36. Calculation and Use of Variable Impacts
• 15.37. Interpreting the Percentages in Variable Impact Analysis
• 15.38. Eliminate Variables Based on Impact Analysis?
• 15.39. Categorical Predictions with Probit or Logit?
• 15.40. Live Prediction
• 15.41. Extrapolation with a Trained Network
• 15.42. Data treatment before training a Neural Network