Cross-Validated Classification Performance from Linear Discriminant Analysis

Sofia Kouki authored a dataset containing cross-validated classification performance results from Linear Discriminant Analysis (LDA). The dataset is a 5.5 KB XLS file last updated on May 21, 2026. It is available under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking LDA classifier performance based on cross-validation metrics.
• Analyzing the stability of LDA classification results based on cross-validation folds.
• Comparing LDA performance to other algorithms using the provided evaluation metrics.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Data is openly available under a permissive CC-BY-4.0 license.
• The record was updated on May 21, 2026, indicating recent maintenance.

Limitations

• The description is minimal, lacking details on specific performance metrics, sample size, or the original data used.
• Row count and column definitions are unknown, making suitability assessment difficult.
• The dataset's 5.5 KB size suggests it contains summary results, not the underlying raw data for model training.

Provenance

Source

figshare

Collection Method

Likely contains aggregated results from a machine learning experiment.

Freshness

Last updated 2026-05-21 17:35:14