Personalwork Code, Opensource with GPLv2 License
根据投篮的位置，投篮手段，比赛时间等因素，预测单次投篮是否会命中。
SnapdragonLee
20558 条训练数据， 5139 条测试数据，共有 20 条属性，目标标签为 shot_made_flag。
Training Set：DataSet/Train.csv
Test Set：DataSet/Test.csv
roc_auc_score
Submission.zip (submission.txt) 以测试集数据为顺序，每一行记录模型预测出的命中概率
0.7133916302483058, Rank 3/22.
基于 XGBClassifier，具体可以查看 report.pdf 。
DeconvNet: Learning Deconvolution Network for Semantic Segmentation Created by Hyeonwoo Noh, Seunghoon Hong and Bohyung Han at POSTECH Acknowledgement
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