Use case on the segment dataset

Dataset segment

Machine Learning Task: Multiclass classification

The instances were drawn randomly from a database of 7 outdoor images. The images were hand-segmented to create a classification for every pixel. Each instance is a 3x3 region.

Available at OpenML:

Category: Technology

# Rows: 2,310 # Columns: 19

Target: class


Numeric: region.centroid.col, region.centroid.row, region.pixel.count, short.line.density.5, short.line.density.2, vedge.mean,, hedge.mean,, intensity.mean, rawred.mean, rawblue.mean, rawgreen.mean, exred.mean, exblue.mean, exgreen.mean, value.mean, saturation.mean, hue.mean

Machine Learning Use Case Technology

Cross-Entropy Loss (LOGLOSS)

Segment Logloss

Accuracy (ACC)

Segment Acc

Balanced Accuracy (BALACC)

Segment Balacc

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