{"package":"agghoo","ecosystem":"cran","latest_version":"0.1-0","description":"Aggregated Hold-Out Cross Validation. The 'agghoo' procedure is an alternative to usual cross-validation. Instead of choosing the best model trained on V subsamples, it determines a winner model for each subsample, and then aggregates the V outputs. For the details, see \"Aggregated hold-out\" by Guillaume Maillard, Sylvain Arlot, Matthie","license":"MIT + file LICENSE","license_risk":"unknown","commercial_use_notes":"verify manually — license not parseable / not declared.","homepage":"https://git.auder.net/?p=agghoo.git","repository":"https://CRAN.R-project.org/package=agghoo","downloads_weekly":84,"health":{"score":33,"risk":"critical","breakdown":{"maintenance":0,"popularity":0,"security":25,"maturity":6,"community":2},"deprecated":false,"max_score":100},"vulnerabilities":{"count":0,"critical":0,"high":0,"medium":0,"low":0,"details":[]},"versions":{"latest":"0.1-0","total_count":0,"recent":[]},"metadata":{"deprecated":false,"deprecated_message":null,"maintainers_count":1,"first_published":"2023-05-25 20:33:17","last_published":"2023-05-25T18:50:02+00:00","dependencies_count":5,"dependencies":["class","parallel","R6","rpart","FNN"]},"github_stats":null,"bundle":null,"typescript":null,"known_issues":{"bugs_count":0,"bugs_severity":{},"status_breakdown":{},"link":null,"scope":"none"},"historical_compromise":null,"recommendation":{"action":"use_with_caution","issues":["Low health score (33/100)"],"use_version":"0.1-0","version_hint":null,"summary":"agghoo@0.1-0 low health (33/100) — consider alternatives"},"version_scoped":null,"requested_version":null,"_cache":"miss","_response_ms":358,"_powered_by":"depscope.dev — free package intelligence for AI agents","typosquat":{"is_suspected":false},"maintainer_trust":{"available":false},"malicious":{"is_malicious":false},"scorecard":{"available":false},"quality":{"available":false}}