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| 2015-10-20 03:28:52 -0600 | received badge | ● Editor (source) |
| 2015-10-20 03:08:04 -0600 | commented question | Recommended values for OpenCV RTrees parameters model->setCalculateVarImportance(true); Mat var_importance = model->getVarImportance(); //each element of var_importance always have the same value |
| 2015-10-20 03:04:34 -0600 | answered a question | Recommended values for OpenCV RTrees parameters model->setCalculateVarImportance(true); Mat var_importance = model->getVarImportance(); each element of var_importance always have the same value |
| 2015-10-18 14:52:55 -0600 | asked a question | Why each element of the var_importance have the same value ? letter_recog.cpp opencv3.0 gold Getting output after compiling letter-recognition.cpp of sample code: The database ./letter-recognition.data is loaded. Training the classifier .. Recognition rate: train = 86.2%, test = 82.0% Number of trees: 100 var# importance (in %): 0 6.3 1 6.3 2 6.3 3 6.3 4 6.3 5 6.3 6 6.3 .... `model->setCalculateVarImportance(true); Mat var_importance = model->getVarImportance(); `
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