Use case on the vehicle dataset

Dataset vehicle

Machine Learning Task: Multiclass classification

The vehicle silhouettes - purpose to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

Available at OpenML: https://openml.org/d/54

Category: Automotive

# Rows: 846 # Columns: 18

Target: Class

Features

Numeric: COMPACTNESS, CIRCULARITY, DISTANCE_CIRCULARITY, RADIUS_RATIO, PR.AXIS_ASPECT_RATIO, MAX.LENGTH_ASPECT_RATIO, SCATTER_RATIO, ELONGATEDNESS, PR.AXIS_RECTANGULARITY, MAX.LENGTH_RECTANGULARITY, SCALED_VARIANCE_MAJOR, SCALED_VARIANCE_MINOR, SCALED_RADIUS_OF_GYRATION, SKEWNESS_ABOUT_MAJOR, SKEWNESS_ABOUT_MINOR, KURTOSIS_ABOUT_MAJOR, KURTOSIS_ABOUT_MINOR, HOLLOWS_RATIO

Machine Learning Use Case Automotive

Cross-Entropy Loss (LOGLOSS)

Vehicle Logloss

Accuracy (ACC)

Vehicle Acc

Balanced Accuracy (BALACC)

Vehicle Balacc

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