Classification, visualized

How to use

Pick a model and dataset, then adjust the controls to see how the decision regions or clusters change.

Model

Dataset

Samples 180

Noise 0.12

Neighbors / clusters 5

Regularization C 1.00

Tree depth 3

Density radius 0.28

Kernel width 0.65

Hidden units 9

NN learning rate 0.035

NN epochs 180

Number of trees 9

Boost learning rate 0.62

Boosting rounds 6

Covariance shape

GMM assignment

Graph neighbors 8

Minimum cluster size 8

A linear separator learned from labeled examples.