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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
176,138 datasets
Acacías, a municipality in the Meta department of Colombia, maintains a collection of its current legal norms. The dataset includes columns for year, regulation type, URL, description, and identification. It is hosted on the Colombian open data portal, datos.gov.co, and was last updated on May 18, 2026.
Valle del Cauca department survey data on international and domestic tourists. The dataset includes columns for travel expenditure, accommodation type, travel motive, country of origin, age range, and gender. Data is provided by www.datos.gov.co and was last updated on 2026-05-18.
Francois D. Rouleau compiled DHFR mutations associated with drug resistance from scientific literature and a specific study. The dataset is stored in an XLSX file sized 31.2 KB and was last updated on 2026-05-27. It is licensed under CC-BY-4.0.
A documentation file listing and describing all features used to train a machine learning model. The 10.8 KB XLSX file was authored by Francois D. Rouleau and last updated on May 27, 2026. It is shared under a CC-BY-4.0 license on figshare.
9.5 KB of data in XLS format containing Spearman correlation factor analysis among chemical species and PM2.5. The dataset was authored by Mauricio A. Correa-Ochoa and last updated on 2026-05-27.
A small dataset containing computational times for four distance measures, measured in seconds. The dataset was authored by Ja-Ho Koo and is available under a CC-BY-4.0 license. It was last updated on May 27, 2026.
Frobenius norm calculations for difference distance measures are provided in a 5.5 KB Excel file. Ja-Ho Koo authored this dataset, which was last updated on May 27, 2026. The dataset's small size suggests it contains a focused set of matrix distance computations.
A comparative analysis of LoRA optimal and SDXL-LoRA models. The dataset is a 5.5 KB Excel file authored by Jiangxu Zhang and last updated on 2026-05-27.
17.6 KB of basic contextual information and histological results for all samples, compiled by Damla Kaptan and last updated on 2026-05-27. The dataset is available in XLSX format under a CC-BY-4.0 license on figshare.
A confusion matrix evaluating a five-level risk classification model. The dataset is a 5.5 KB Excel file authored by Lianbin Zhou and last updated on May 27, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Lianbin Zhou created a dataset comparing model evaluation metrics based on a test set. The dataset is a 5.5 KB Excel file, last updated on May 27, 2026, and is shared under a CC-BY-4.0 license on figshare.
5.5 KB Excel file comparing model evaluation metrics derived from a test set. The dataset was authored by Lianbin Zhou and last updated on May 27, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Lianbin Zhou published a correspondence table of event outcome risk levels on figshare. The dataset is available as a 9.5 KB XLS file under a CC-BY-4.0 license. It was last updated on 2026-05-27.
Cross-platform performance data comparing TravisTorrent and GHALogs. The 5.5 KB XLS file was authored by Lalit Narayan Mishra and is licensed under CC-BY-4.0. Its last update was recorded on 2026-05-27.
A 5.5 KB Excel file containing performance data for cross-language build prediction using a Random Forest model. The dataset was authored by Lalit Narayan Mishra and last updated on 2026-05-27. The specific number of rows and column definitions are not provided in the metadata.
Lalit Narayan Mishra published a dataset listing the top 10 most important pre-build features for build prediction on figshare. The dataset is a 5.5 KB Excel file last updated on 2026-05-27. It is shared under a CC-BY-4.0 license.
A 5.5 KB Excel file contains results from a cost-sensitive analysis using a Random Forest model on the TravisTorrent dataset. The analysis calculates optimal classification thresholds across varying false-negative to false-positive cost ratios. Author Lalit Narayan Mishra published the dataset on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-27.
A single confusion matrix evaluating a Random Forest model's performance on a test set of 20,000 instances. The 5.5 KB Excel file was published by Lalit Narayan Mishra on figshare in May 2026. Its specific application domain and the underlying classification labels are not detailed in the available metadata.
31 clean pre-built features were used to evaluate model performance on the TravisTorrent test set. Lalit Narayan Mishra published this 5.5 KB Excel file on figshare in May 2026. The dataset's specific row count and column definitions are not provided in the metadata.
Lalit Narayan Mishra authored a dataset examining the impact of temporal data leakage prevention on Random Forest performance. The dataset is 5.5 KB in size and was last updated on May 27, 2026. It is available in XLS format under a CC-BY-4.0 license.