rl-atari/强化学习个人课程作业报告/outputs/tables/personalised_improvement_summary.csv at d6860f1f15082ae9ae61a82a06a193be9b6ec583

Files

T

Serendipity d6860f1f15 chore: 更新项目文档、依赖和训练脚本

- 更新 requirements.txt，添加 opencv-python-headless 并补充 uv 安装说明
- 修复 CSV 文件中的换行符格式（CRLF 转 LF）
- 更新 TASK_PROGRESS.md，记录并行训练实现和 WSL 支持
- 优化 train_improved.py 代码格式，移除多余空行和注释
- 更新课程作业要求文档的字符编码
- 添加新的 TensorBoard 日志文件和训练模型

2026-05-01 09:26:23 +08:00

1.0 KiB

Raw Blame History

1	model	train_accuracy	val_accuracy	train_f1_macro	val_f1_macro	val_f1_High	val_f1_Low	val_f1_Standard	train_time
2	Baseline_LR	0.7593680672268908	0.7341714285714286	0.7492574544185482	0.7237629331592531	0.7665209565440987	0.6489501312335958	0.7558177117000646
3	RandomForest	1.0	0.7877333333333333	1.0	0.770789728543472	0.7874554916461244	0.7095334685598377	0.8153802254244543	57.91048526763916
4	XGBoost	0.8519529411764706	0.8371047619047619	0.8297116592669606	0.8143842728003406	0.8904623073719283	0.6944039941751612	0.8582865168539325	67.63970804214478
5	XGBoost_Tuned	0.9767663865546219	0.8700190476190476	0.9739400525375727	0.8519502714571496	0.9084439578486383	0.7620280474649407	0.8853788090578697	142.65462470054626
6	XGB_CatA_MissingHandling	0.9772638655462185	0.870552380952381	0.9745439553742655	0.8529411889528661	0.910207423580786	0.763542562338779	0.885073580939033
7	Ensemble_SoftVoting	0.9972436974789916	0.8675047619047619	0.9969472283391928	0.851001101708816	0.9024125779343996	0.7684120902511707	0.8821786369408776

1.0 KiB Raw Blame History

1.0 KiB

Raw Blame History