1{2 "task_id": "F6-conf-01",3 "n_missing_rows": 215,4 "n_train": 2500,5 "n_test": 2501,6 "anova_f_stat": 0.26346571680711994,7 "anova_p_value": 0.9015060507654888,8 "effect_estimate": 0.05017009840169966,9 "effect_ci_low": -0.319335775694099,10 "effect_ci_high": 0.41967597249749833,11 "baseline_metric": 4.875704154642543,12 "model_metric": 4.883841522290305,13 "conclusion": "no_detectable_effect",14 "feasibility": "complete",15 "feasibility_reason": null,16 "data_issues": [17 {18 "issue": "215 rows with empty DGS10 field (US market holidays / no publication)",19 "handling": "rows dropped before computing changes, as required; the change after a gap spans >1 business day and is attributed to the weekday of its end date"20 },21 {22 "issue": "214 changes span a holiday gap (longer than the usual 1 or 3 calendar days); this mixes horizons across weekdays (e.g. Tuesdays after Monday holidays)",23 "handling": "kept as specified by TASK.md; noted as a limitation"24 }25 ],26 "n_input_rows": {27 "DGS10.csv": 521728 },29 "n_analysed": 5001,30 "random_seed": null,31 "supplementary": {32 "monday_contrast_method": "Welch two-sample t (Monday vs other weekdays)",33 "welch_se_bp": 0.18837955539096202,34 "welch_df": 1548.9581965107568,35 "welch_p_value": 0.7900247217974673,36 "train_weekday_means_bp": {37 "Monday": -0.05434782608695535,38 "Tuesday": -0.40545808966861635,39 "Wednesday": -0.20542635658914643,40 "Thursday": 0.013833992094862349,41 "Friday": 0.1168316831683146242 },43 "rmse_train_overall_mean_bp": 4.87519865288523,44 "rmse_ratio_model_to_baseline": 1.0016689625518016,45 "n_valid_obs": 500246 }47}