Use case on the connect-4 dataset

Dataset connect-4

Machine Learning Task: Multiclass classification

This database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. Attributes represent board positions on a 6x6 board. The outcome class is the game-theoretical value for the first player (2: win, 1: loss, 0: draw).

Available at OpenML:

Category: Gaming

# Rows: 67,557 # Columns: 42

Target: class


Nominal: a1, a2, a3, a4, a5, a6, b1, b2, b3, b4, b5, b6, c1, c2, c3, c4, c5, c6, d1, d2, ...

Machine Learning Use Case Gaming

Cross-Entropy Loss (LOGLOSS)

Connect 4 Logloss

Accuracy (ACC)

Connect 4 Acc

Balanced Accuracy (BALACC)

Connect 4 Balacc

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