Which is the most important variable in caret package?
7.0.21Linear Classifier 7.0.22Linear Regression 7.0.23Logic Regression 7.0.24Logistic Regression 7.0.25Mixture Model 7.0.26Model Tree 7.0.27Multivariate Adaptive Regression Splines
How is varimp used to measure variable importance?
The varImp function tracks the changes in model statistics, such as the GCV, for each predictor and accumulates the reduction in the statistic when each predictor’s feature is added to the model. This total reduction is used as the variable importance measure.
How to measure performance in the caret package?
4.1Simple Splitting Based on the Outcome 4.2Splitting Based on the Predictors 4.3Data Splitting for Time Series 4.4Simple Splitting with Important Groups 5Model Training and Tuning 5.1Model Training and Parameter Tuning 5.2An Example 5.3Basic Parameter Tuning 5.4Notes on Reproducibility 5.5Customizing the Tuning Process
Which is the Best Feature selection in caret?
7.0.24Logistic Regression 7.0.25Mixture Model 7.0.26Model Tree 7.0.27Multivariate Adaptive Regression Splines 7.0.28Neural Network 7.0.29Oblique Tree 7.0.30Ordinal Outcomes 7.0.31Partial Least Squares 7.0.32Patient Rule Induction Method 7.0.33Polynomial Model 7.0.34Prototype Models 7.0.35Quantile Regression 7.0.36Radial Basis Function
How to train a model in caret package?
7.0.44Rule-Based Model 7.0.45Self-Organising Maps 7.0.46String Kernel 7.0.47Support Vector Machines 7.0.48Supports Class Probabilities 7.0.49Text Mining 7.0.50Tree-Based Model 7.0.51Two Class Only 8Models Clustered by Tag Similarity 9Parallel Processing 10Random Hyperparameter Search 11Subsampling For Class Imbalances 11.1Subsampling Techniques
How to use caret to get random data?
I am reproducing an example below: library (mlbench) library (caret) set.seed (998) data (Sonar) #Random data, just for illustration purpose Sonar= Sonar [, 1:6] #Selected first 6 columsn only for showing an example.