Hyperparameter Summary for Tuning Machine Learning Models

Hao Li's dataset provides a summary of hyperparameters for tuning different machine learning models. It is a 10.4 KB Excel file (XLSX) published on figshare under a CC-BY-4.0 license. The dataset was last updated on April 28, 2026.

Use Cases

• Comparing hyperparameter ranges for different ML models based on the summary description
• Quickly referencing key tuning parameters for model selection
• Educational instruction on the hyperparameters associated with common algorithms

Strengths

• Small file size (10.4 KB) ensures easy download and sharing
• Explicitly licensed under CC-BY-4.0 for open reuse
• Specific publication date (2026-04-28) is provided

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The 10.4 KB size indicates a very limited scope, likely a reference sheet rather than a training dataset

Provenance

Source

Hao Li via figshare

Collection Method

Likely compiled as a reference summary.

Time Range

Publication date is 2026-04-28.

Freshness

Last updated 2026-04-28 17:49:35; freshness should be verified

Geography

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