<p>Statistical comparison of key input features using ANOVA, Chi-square, Wilcoxon, Diebold

Dan Jiang's dataset provides a statistical comparison of key input features using ANOVA, Chi-square, Wilcoxon, Diebold-Mariano, and Friedman tests to assess their discriminative significance. The dataset is 9.5 KB in size, stored in an XLS file format, and was last updated on April 21, 2026. It is licensed under CC-BY-4.0.

Use Cases

• Feature selection for model building based on statistical significance tests mentioned in the description
• Comparing the discriminative power of different input variables based on the results of ANOVA, Chi-square, and non-parametric tests
• Methodological benchmarking of statistical tests (e.g., Diebold-Mariano, Friedman) for time series or ranked data analysis

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection
• License is clearly defined as CC-BY-4.0, permitting reuse with attribution
• Last update timestamp is precisely recorded as 2026-04-21 17:32:57

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

figshare, author Dan Jiang

Collection Method

Statistical comparison methodology described in title; specific data collection method is unknown.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-04-21 17:32:57; freshness should be verified

Geography

Spatial coverage is not specified.