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FEATURE IMPORTANCE RANKING
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How Much Data Is Enough to Build a Machine Learning Model
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- 1 Intro
- 2 HOW MUCH TRAINING DATA DO YOU NEED?
- 3 UNDERSTANDING EXTRAPOLATION AND INTERPOLATION
- 4 MULTIVARIATE EXTRAPOLATION
- 5 EXTRAPOLATION AND INTERPOLATION IN HIGH DIMENSIONS
- 6 MODEL DESIGNED FOR EXTRAPOLATION OR INTERPOLATION
- 7 RECOGNIZING MULTIMODAL DISTRIBUTIONS
- 8 MACHINE LEARNING CURVE
- 9 MAHALANOBIS DISTANCE
- 10 EXAMPLE DATASET
- 11 DIABETES DATASET
- 12 FEATURE IMPORTANCE RANKING
- 13 DETERMINE HIGH AND LOW VALUES FOR
- 14 CREATE A BOUNDING HYPER-RECTANGLE
- 15 MOST DISTANT EDGES OF BOUNDING HYPER- RECTANGLE
