Ensemble-Based Machine Learning for Predicting Sudden Human Fall Using Health Data

Algorithm 1

Majority Voting Ensemble Algorithm.

Output: Predicted Syncope Value

Initialise:

  MLModels = [LR, DTC, RFC, KNN, SVC, NBC];

  AlgoWeights = [1, 1, 1, 1, 1, 1];

  count = 0;

For data in preProcessedDB:

  outputs = [ ];

  For model in MLModels:

   predictedValue = model.predict(data)

   outputs.append(AlgoWeights[count] ∗ predictedValue)

  SyncopeValue = sum(outputs)/count(MLModels) ∗ 100

  Return SyncopeValue