浙大疏锦行分别用NSGA-Ⅱ和NSGA-Ⅲ进行多目标优化Code010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869{run_id:20260825_144941,hypothesis:NSGA-II 与 NSGA-III 能搜索到 KNN Precision/Recall 的不同非支配折中解。,primary_objectives: [CV Precision (maximize),CV Recall (maximize)],dataset: {path:D:\\Desktop\\Postgraduate\\PythonStudy\\Python打卡训练营\\Python打卡训练营\\python60-days-challenge-master\\data.csv,sha256:15a14a97b5dfa33319cb63d56d9e687038c442ec7ef8d00a251c4e7d6c70674f,rows:7500,positive_rate:0.28173333333333334,train_rows:6000,test_rows:1500},split: {test_size:0.2,stratified: true,cv_folds:5,random_state:42},evolution: {population_size:50,generations:50,crossover_probability:0.75,mutation_probability:0.15,offspring_per_generation:50,variation:DEAP varAnd; crossover is applied per pair and mutation independently per offspring},search_space: {n_neighbors:odd integers 3..51,weights: [uniform,distance],p: [1,2],decision_threshold:0.15..0.75, decoded to 0.01},software: {python:3.9.25 (main, Nov 3 2025, 22:44:01) [MSC v.1929 64 bit (AMD64)],numpy:2.0.2,pandas:2.3.3,scikit_learn:1.6.1,deap:1.4},hardware: {platform:Windows-10-10.0.26200-SP0,processor:Intel64 Family 6 Model 154 Stepping 3, GenuineIntel,logical_cpu_count:20,n_jobs:-1},command:python \D:\\Desktop\\Postgraduate\\PythonStudy\\Python打卡训练营\\作业\\day14.py\,output_directory:D:\\Desktop\\Postgraduate\\PythonStudy\\Python打卡训练营\\Python打卡训练营\\day14 outputs\\knn_moo_run_20260825_144941,status:completed,runtime_seconds: {NSGA-II_evolution:2.5017341,NSGA-III_evolution:1.9645547999999984,total:8.5408682},results: {nsga2_archive_size:122,nsga3_archive_size:139,fitness_requests:4079,unique_parameter_evaluations:1321}}