{"schema_version":"ocme-site-results-v1","locale":"en","page_type":"derivations","facts":{"questions":36000,"reviewed":36000,"display_candidates":0,"knowledge":302,"guides":299,"paths":59,"batches":360,"families":1441,"atlas":302,"core":80,"evidence":9,"formal_evidence":5,"formal_subjects":4,"lean_files":6,"lean_toolchain":"leanprover/lean4:v4.30.0","question_state":"candidate","english_state":"ai_candidate","question_Lean":"NOT_RUN","canonical_truth_promotion":false},"filters":{"q":"mko-estimator-mean-squared-error"},"kind":"guides","total":1,"pages":1,"page":1,"entries":[{"id":"derivation-mko-estimator-mean-squared-error-01","title":{"zh-Hant":"不用分解公式的直接MSE計算","en":"Direct MSE without the decomposition formula"},"summary":{"zh-Hant":"逐theta直接加權loss，保留bias-variance為後續。","en":"Weight losses directly at every theta, leaving decomposition for later."},"mko_ids":["mko-estimator-mean-squared-error"]}],"title":"Concept derivation guides"}