Supervised Training

Train a model from curated Connect4 sessions, register the artifact, and activate it for play or arena matches.

Model i Decision Tree Neural Network Frequency Baseline

Decision Tree: quick baseline for tabular board and action-history patterns.

History Context i Session Scope i All Sessions Except Excluded Included Sessions Only Move Source i Algorithms Only Humans Only Humans + Algorithms Learning Rate i Hidden Layer 1 (NN) i Hidden Layer 2 (NN) i Batch Size (NN) i Epochs (NN) i Start Training Job

Neural-network settings are shown only when Neural Network is selected.

Checking training readiness...

Mark sessions to include or exclude. Arena matches and human-vs-algorithm games both feed this dataset view.

Job Status

No active training job.

No metrics yet.

Activate a model here, then choose active_model on Play or Arena.

ID	Name	Type	Test Accuracy	Active	Action