decisionTreeTooltips top-level property
getter/setter pair
Descriptive tooltips for different decision tree algorithm types, explaining the splitting method and potential biases.
Implementation
Map decisionTreeTooltips = {
AlgorithmType.conditional: '''
A **conditional** decision tree built using ctree() uses statistical tests
for unbiased choices of the splits, and so reducing the likelihood of
overfitting.
''',
AlgorithmType.traditional: '''
A **trditional** decision tree built using rpart() uses a greedy algorithm
to recursively split the dataset.
''',
};