Machine Learning using R How to Fit Survival Random Forest using randomForestSRC скачать в хорошем качестве

Machine Learning using R How to Fit Survival Random Forest using randomForestSRC

This video is a step by step demonstration of how to fit Survival Random Forest using the R package randomForestSRC. It includes how to install the randomForestSRC directly from Github; how to fit a Survival Random Forest, how to interpret its output, how to generate and interpret variable importance, marginal effect plots and partial dependence plots. Other topics such as predicting survival at specific time points and variable selection using the maximal subtree analysis ,are also covered. The R codes used in this video are posted in the Comments for your review. Please like our video, click on the Notification bell and subscribe to our channel! Time Stamps 00:00 Introduction to Survival Random Forest 00:22 Installation tips: Using GitHub via remotes 00:59 Loading libraries and setting random seed 01:12 Preparing survival data (Time, Status, Predictors) 01:32 Fitting the model with rfsrc() 01:50 Hyperparameters explained: ntree, nodesize, and nsplit 02:31 Interpreting the model output and summary 03:32 Understanding the Log-Rank splitting rule 03:50 Performance metrics: CRPS and OOB Error 04:27 Plotting error rate vs. number of trees 04:49 Variable Importance (VIMP) ranking 05:21 Marginal effect plots 06:03 Partial Dependence Plots (PDP) 06:29 Visualizing survival curves for subjects 07:01 Model Validation (Ensemble vs. Nelson-Aalen) 07:28 Brier Score for prediction accuracy 09:17 Predicting survival for new data 09:43 Confidence intervals for Variable Importance 10:10 Variable selection using Minimal Depth 11:10 How to plot a single tree from the forest #survivalrandomforest #randomforest #survivalanalysis #machinelearning #survivalprediction #randomforestSRC #survivaltrees #ensemblelearning #outofbag #variableimportance #survivalmodel #randomforestalgorithm #survivaldata #randomsurvivalforest #predictivesurvival #survivalcurve #survivalprobability #randomforesttutorial #survivalforest #randomforestvisualization