// static
void GResamplingAdaBoost::test()
{
GDecisionTree* pLearner = new GDecisionTree();
pLearner->useRandomDivisions();
GResamplingAdaBoost boost(pLearner, true, new GLearnerLoader());
boost.basicTest(0.753, 0.92);
}
// static
void GBayesianModelCombination::test()
{
GBayesianModelCombination bmc;
for(size_t i = 0; i < 32; i++)
{
GDecisionTree* pTree = new GDecisionTree();
pTree->useRandomDivisions();
bmc.addLearner(pTree);
}
bmc.basicTest(0.76, 0.928, 0.01);
}
// static
void GBayesianModelAveraging::test()
{
GBayesianModelAveraging bma;
for(size_t i = 0; i < 32; i++)
{
GDecisionTree* pTree = new GDecisionTree();
pTree->useRandomDivisions();
bma.addLearner(pTree);
}
bma.basicTest(0.708, 0.816, 0.01);
}
// static
void GBomb::test()
{
GBomb bomb;
for(size_t i = 0; i < 32; i++)
{
GDecisionTree* pTree = new GDecisionTree();
pTree->useRandomDivisions();
bomb.addLearner(pTree);
}
bomb.basicTest(0.76, 0.765, 0.01);
}
// static
void GBag::test()
{
GBag bag;
for(size_t i = 0; i < 64; i++)
{
GDecisionTree* pTree = new GDecisionTree();
pTree->useRandomDivisions();
bag.addLearner(pTree);
}
bag.basicTest(0.764, 0.93, 0.01);
}
// static
void GBag::test()
{
GRand rand(0);
GBag bag(rand);
for(size_t i = 0; i < 64; i++)
{
GDecisionTree* pTree = new GDecisionTree(rand);
pTree->useRandomDivisions();
bag.addLearner(pTree);
}
bag.basicTest(0.767, 0.8, 0.01);
}