Table 1 Prediction models with their type and description of input data used for prediction. 1 Dynamic time warping.
From: Development and validation of a weight-loss predictor to assist weight loss management
Model | Type | Input data |
|---|---|---|
Logistic regression | Classification | DTW1 distance of the time series data to all five cluster means |
Linear regression | Regression | DTW distance of the time series data to all five cluster means |
Naive Bayes | Classification | BMI at baseline, weight change at the last day of the respective time frame |
Support vector classification | Classification | DTW distance of the time series data to all five cluster means |
Support vector regression | Regression | BMI at baseline, weight change at the last day of the respective time frame |
Multi-layer perceptron | Classification | BMI at baseline, weight change at the last day of the respective time frame |
