rf_modlist: Estimated Random Forest Model List for ICH
In neuroconductor/ichseg: Intracerebral Hemorrhage Segmentation of X-Ray Computed Tomography (CT) Images
Description
A list containing the random forest model for predicting ICH and other factors for
prediction
Usage
1
2
3
Format
A list with 7 elements, which are:
- mod.pauc
the partial AUC estimated with the training data
- mod.pauc.cutoff
the sens/spec for partial AUC cutoff
- mod.sens.cutoff
the sensitivity and cutoff estimated with the training datan
- mod.dice.cutoff
the Dice Similarity Index and cutoff estimated with the training data
- mod.acc
the accuracy and cutoff estimated with the training data
- mod
the model object of class randomForest
- mod.time
the time it took to train the model
An object of class list of length 7.
neuroconductor/ichseg documentation built on Sept. 29, 2020, 2:31 p.m.
R Package Documentation
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Description
A list containing the random forest model for predicting ICH and other factors for prediction
Usage
1 2 3 |
Format
A list with 7 elements, which are:
- mod.pauc
the partial AUC estimated with the training data
- mod.pauc.cutoff
the sens/spec for partial AUC cutoff
- mod.sens.cutoff
the sensitivity and cutoff estimated with the training datan
- mod.dice.cutoff
the Dice Similarity Index and cutoff estimated with the training data
- mod.acc
the accuracy and cutoff estimated with the training data
- mod
the model object of class
randomForest- mod.time
the time it took to train the model
An object of class list of length 7.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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