condAccuracy: Plot conditional accuracy
In USEPA/LakeTrophicModelling: Package to reproduce Hollister et al. (2015) Modeling Lake Trophic State: A Randrom Forest Approach.
Description
Usage
Arguments
Examples
Description
This function plots the total accuracy as a function of maximum probability.
We determine the maximum probability for each lake for a given random forest
object and then plot the total accuracy for lakes at each value of x or greater
Usage
1
condAccuracy(pred_prob1, pred_prob2, xlab = "x", ...)
Arguments
...
parameters to be passed to condprob
rf
A random forest object
Examples
1
condAccuracy(all_rf_ts_prob,gis_rf_ts_prob,xImpair=0,R=1,xlab="Xc >= Prediction Probability")
USEPA/LakeTrophicModelling documentation built on Oct. 15, 2020, 4:13 p.m.
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Description Usage Arguments Examples
Description
This function plots the total accuracy as a function of maximum probability. We determine the maximum probability for each lake for a given random forest object and then plot the total accuracy for lakes at each value of x or greater
Usage
1 | condAccuracy(pred_prob1, pred_prob2, xlab = "x", ...)
|
Arguments
... |
parameters to be passed to condprob |
rf |
A random forest object |
Examples
1 | condAccuracy(all_rf_ts_prob,gis_rf_ts_prob,xImpair=0,R=1,xlab="Xc >= Prediction Probability")
|
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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