Train3DMASCDialog 0 0 834 795 Dialog Random Trees max depth <html><head/><body>The maximum possible depth of the tree.That is the training algorithms attempts to split a node while its depth is less than maxDepth.The root node has zero depth. The actual depth may be smaller if the other termination criteria are met and/or if the tree is pruned.</body></html> 1 25 max tree count The maximum number of iterations/elements 1 10000 10 100 active var count <html><head/><body>The size of the randomly selected subset of features at each tree node and that are used to find the best split(s).If you set it to 0 then the size will be set to the square root of the total number of features.Default value is 0.</body></html> min sample count If the number of samples in a node is less than this parameter then the node will not be split 1 Other parameters Test data ratio Ratio of input points used for evaluating the classification % 0 99 20 QFrame::StyledPanel QFrame::Raised Run false Save Close runPushButton closePushButton savePushButton 0 0 Results correct = 0/0 - accuracy = 0.0 Qt::ScrollBarAlwaysOn false false QAbstractItemView::NoSelection true 170 false Feature Importance Scales Qt::Vertical 20 190 export runPushButton clicked() Train3DMASCDialog accept() 76 296 198 237