What is a characteristic of Random Forests?Each tree is trained on a random subset of the featuresAll trees are identicalThey are sensitive to feature scalingThey are prone to overfitting

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

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

Which of the following is a technique used to reduce overfitting in the Random Forest algorithm?Review LaterDecreasing the number of estimatorsIncreasing the maximum depth of the decision treesIncreasing the subsample sizeIncreasing the learning rate

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

Following the training of our random forest models, we decide to analyse the feature importance scores provided by the model built using 200 trees. Our aim is to identify which features the model considers most significant in predicting the target variable.Which of the following does the model consider to be the top 3 most significant features in predicting Standard_yield?Rainfall, Crop_type_tea, LatitudeElevation, Soil_fertility, pHpH, Rainfall, Location_Rural_Hawassa Soil_fertility, Rainfall, Slope