Learning Curve

../../../../_images/learning_curve.svg

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.

Definition

Input ports

model model

Model

X table

X

Y table

Y

Output ports

results table

results

statistics table

statistics

Configuration

Cross validation folds (cv)

Number of fold of cross-validation (minimum 2)

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

Implementation

class node_metrics.LearningCurve[source]