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.

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]