selectROCThreshold: Select the roc threshold with the max F1 score and calculate...
In novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients
Description
Usage
Arguments
Value
Description
Select the roc threshold with the max F1 score and calculate classification metrics
Usage
1
selectROCThreshold(trainPred)
Arguments
trainPred
An object of class prediction, predicted values and ground truth, input to performance
Value
dataframe of various metrics when using threshold to do classification,
including sensitivity, specificity, TP, FP, TN, FN, precision, recall, f1score
novasmedley/gbmSpm documentation built on May 17, 2019, 10:39 a.m.
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Description Usage Arguments Value
Description
Select the roc threshold with the max F1 score and calculate classification metrics
Usage
1 | selectROCThreshold(trainPred)
|
Arguments
trainPred |
An object of class prediction, predicted values and ground truth, input to |
Value
dataframe of various metrics when using threshold to do classification, including sensitivity, specificity, TP, FP, TN, FN, precision, recall, f1score
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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