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. Author manuscript; available in PMC: 2019 Jan 30.
Published in final edited form as: Proc Int Conf Mach Learn Appl. 2019 Jan 17;2018:194–201. doi: 10.1109/ICMLA.2018.00036

TABLE V:

Ablation study - Bold entries indicate biggest drop in MAP and blue entries correspond to best MAP values

Models Optimized ARS weights MAP
SDM score QAMat MeSH Dist. SemMedDB1 SemMedDB2 batch1 batch2 batch3 batch4 batch5
All 0.3043 0.4747 0.0846 0.0102 0.1264 0.4438 0.4780 0.4534 0.4388 0.3722
– QAMat 0.4515 - 0.2848 0.0718 0.1919 0.4202 0.4721 0.4227 0.4145 0.3604
– MeSH Dist. 0.3279 0.5771 - 0.0309 0.0642 0.4410 0.4659 0.4476 0.4307 0.3614
– SemMedDB 0.2896 0.5365 0.1739 - - 0.4352 0.4680 0.4329 0.4161 0.3521
Baseline 1.0000 - - - - 0.4279 0.4709 0.4306 0.4219 0.3505
(a) Results on year 2016 datasets
Models Optimized ARS weights MAP
SDM score QAMat MeSH Dist. SemMedDB1 SemMedDB2 batch1 batch2 batch3 batch4 batch5
All 0.1665 0.7298 0.0411 0.0062 0.0564 0.4075 0.4363 0.4534 0.3891 0.2316
– QAMat 0.5243 - 0.1832 0.2406 0.0520 0.3782 0.4190 0.4372 0.3690 0.2181
– MeSH Dist. 0.3121 0.5494 - 0.0638 0.0747 0.3956 0.4221 0.4471 0.3772 0.2144
– SemMedDB 0.2970 0.5220 0.1811 - - 0.3808 0.4316 0.4459 0.3758 0.2154
Baseline 1.0000 - - - - 0.3959 0.4176 0.4378 0.3746 0.2133
(b) Results on year 2017 datasets