cal_MCC: Performance evaluation from other modeling algorithm Result
In Dforest: Decision Forest
Description
Usage
Arguments
Value
Description
Performance evaluation from other modeling algorithm Result
Usage
1
cal_MCC(pred, label)
Arguments
pred
Predictions
label
Known-endpoint
Value
result$ACC: Predicting Accuracy
result$MIS: MisClassfication Counts
result$MCC: Matthew's Correlation Coefficients
result$bACC: balanced Accuracy
Dforest documentation built on May 2, 2019, 6:38 a.m.
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Description Usage Arguments Value
Description
Performance evaluation from other modeling algorithm Result
Usage
1 | cal_MCC(pred, label)
|
Arguments
pred |
Predictions |
label |
Known-endpoint |
Value
result$ACC: Predicting Accuracy
result$MIS: MisClassfication Counts
result$MCC: Matthew's Correlation Coefficients
result$bACC: balanced Accuracy
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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