diff options
Diffstat (limited to 'SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md')
| -rw-r--r-- | SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md b/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md index 294f138..a3e6398 100644 --- a/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md +++ b/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md @@ -34,9 +34,9 @@ tags: - Solution - Use validation data set - - $\bbox[teal,5px,border:2px solid red]{\text{Train data (80\%)+ Valid data (10\%) + Test data (10\%)}}$ - - Cannot directly participate in model training - - Continuously evaluates in the learning base, and stores the best existing performance + - $\bbox[teal,5px,border:2px solid red]{\text{Train data (80\%)+ Valid data (10\%) + Test data (10\%)}}$ + - Cannot directly participate in model training + - Continuously evaluates in the learning base, and stores the best existing performance - K-fold cross validation - **Leave-One-Out Cross-Validation (LOOCV)** - a special case of k-fold cross-validation where **K** is equal to the number of data points in the dataset. |