Learning Curve¶
Generates a learning curve by training model multiple timeson incrementally larger subsets of the data and using cross validation for scoring. Plot performance of train-mean vs. test-mean for curve.
Documentation
Definition
Input ports
- model
model
Model
- X
table
X
- Y
table
Y
Output ports
- results
table
results
- statistics
table
statistics
- Configuration:
- Shuffle (shuffle)
Randomizes the input dataset before passed to internal cross validation
- Smallest fraction (smallest)
Size of the smallest dataset as fraction of total
- Steps (steps)
Number of different sizes of training/test data measured
- Cross validation folds (cv)
Number of fold of cross-validation (minimum 2)
-
class
node_metrics.
LearningCurve
[source]