Какво е „random forest”?Select one:a. Модел, който осреднява резултата от множество decision trees генерирани на база случайно избрано подмножество на данните за обучениеb. Известна природна забележителност в Южна Америкаc. Невронна мрежа обучена на база decision tree, а не директно на база на данните за обучение

A random forest uses 5 decision trees. What would qualify as good practice to construct those trees?AThe trees should be as similar in node positioning as possibleBThe trees should be trained on using the same dataset for all treesCCreating diverse trees by bootstrapping the dataset and using random feature selection for each treeDThe trees should have the same number of levels

decision tree and random forest with a real -time example

Order these tree ensembles in order of most randomness to least randomness:1 pointRandom Trees, Random Forest, BaggingRandom Forest, Bagging, Random TreesRandom Forest, Random Trees, BaggingBagging, Random Forest, Random Trees

decision trees during training and outputs the mode of the classes (for classification)or the mean prediction (for regression) of the individual trees. Each tree in the forestis trained on a random subset of the training data and features, introducingrandomness into the learning process. This randomness helps to reduce overfittingand improve generalization performance. Random Forest is robust, scalable, andcapable of handling high-dimensional data with complex interactions betweenfeatures. It is widely used for classification tasks in various domains, includingfinance, healthcare, and marketing

What is a Random Forest?Answer areaA type of neural networkAn ensemble learning method that uses multiple decision treesA clustering algorithmA linear model