modelMetric: modelMetric
In SixiangHu/DataMan: Data Summary, One-way Interactive Plot and Model Visualisation Analysis
Description
Usage
Arguments
Details
Author(s)
Examples
Description
This function compares model prediction(s) with actual measured by different statistics.
Usage
1
modelMetric(act,pred)
Arguments
act
numeric vector of actual data
pred
numeric vector or data frame. Should have the same length as 'act'.
It can also be a data frame that compare different model predictions at the same time.
Details
Currently, it conducts MSE, RMSE, MAE, RMAE, and LogLoss (for clasification) analysis.
Author(s)
Sixiang Hu
Examples
1
2
3
4
5
actual <- rnorm(1000)
y <- rnorm(1000)
z <- rnorm(1000)
pred <- data.frame(model1=y,model2=z)
modelMetric(actual,pred)
SixiangHu/DataMan documentation built on May 9, 2019, 1:48 p.m.
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Description Usage Arguments Details Author(s) Examples
Description
This function compares model prediction(s) with actual measured by different statistics.
Usage
1 | modelMetric(act,pred)
|
Arguments
act |
numeric vector of actual data |
pred |
numeric vector or data frame. Should have the same length as 'act'. It can also be a data frame that compare different model predictions at the same time. |
Details
Currently, it conducts MSE, RMSE, MAE, RMAE, and LogLoss (for clasification) analysis.
Author(s)
Sixiang Hu
Examples
1 2 3 4 5 | actual <- rnorm(1000)
y <- rnorm(1000)
z <- rnorm(1000)
pred <- data.frame(model1=y,model2=z)
modelMetric(actual,pred)
|
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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