measure_r2_score: Measure Coefficient of Determination (R^2 Score).
In easyml: Easily Build and Evaluate Machine Learning Models
Description
Usage
Arguments
Details
Value
See Also
Description
Given the ground truth (correct) target values and the estimated target
values, calculates the the R^2 metric.
Usage
1
measure_r2_score(y_true, y_pred)
Arguments
y_true
A numeric vector; the ground truth (correct) target values.
y_pred
A numeric vector; the estimated target values.
Details
See here for more information: https://en.wikipedia.org/wiki/Coefficient_of_determination
Value
A numeric vector of length one; the R^2 metric.
See Also
Other measure: measure_auc_score,
measure_correlation_score,
measure_mse_score
easyml documentation built on June 26, 2017, 9:02 a.m.
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Description Usage Arguments Details Value See Also
Description
Given the ground truth (correct) target values and the estimated target values, calculates the the R^2 metric.
Usage
1 | measure_r2_score(y_true, y_pred)
|
Arguments
y_true |
A numeric vector; the ground truth (correct) target values. |
y_pred |
A numeric vector; the estimated target values. |
Details
See here for more information: https://en.wikipedia.org/wiki/Coefficient_of_determination
Value
A numeric vector of length one; the R^2 metric.
See Also
Other measure: measure_auc_score,
measure_correlation_score,
measure_mse_score
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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