Per-Class Performance Metrics for Sleep and Depression Analysis

5.5 KB of per-class performance metrics for sleep quality classification and depressive sentiment analysis, authored by Akshi Kumar and last updated on May 7, 2026. The dataset is available in XLS format under a CC-BY-4.0 license on figshare.

Use Cases

• Benchmarking classification models based on reported per-class metrics for sleep quality.
• Comparing algorithm performance for depressive sentiment analysis based on the provided metrics.
• Analyzing model bias or fairness across different classes in mental health classification tasks.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly licensed as CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count and column-level documentation are absent, requiring manual inspection after download to understand the data structure.
• The description is minimal, offering no details on the underlying models, data sources, or evaluation methodology.

Provenance

Source

figshare, author Akshi Kumar.

Collection Method

Likely contains aggregated evaluation results from classification experiments.

Time Range

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Freshness

Last updated 2026 05 07 17 37 15; freshness should be verified.

Geography

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