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Journal of Big Data

Table 4 Model prediction accuracy for numeric fields

From: Lifelong Machine Learning and root cause analysis for large-scale cancer patient data

Algorithm

\(R^2\) Statistics

RMSE

Decision Tree Regressor

− 0.9600

1149.84

Kernel Ridge

− 4.4322

1678.87

Elastic Net

− 0.2219

875.24

Ridge

− 12.8802

3032.13

Linear Regression

− 8.1000

2213.07

Lasso

− 13.8496

2768.54

Proposed MALAa

− 0.3840

839.14

  1. aProposed model is 4% better than the Elastic Net, 37% better than the Decision Tree Regressor and more than 40% better than the rest of the algorithms
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