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. 2020 Apr 23;15(4):e0231300. doi: 10.1371/journal.pone.0231300

Table 5. Trained gradient boosting model parameters.

Features Data subsets Number of coefficients Number of non-zero coefficients
2 features Labs 480 148
4 features Labs 960 365
8 features Labs 1920 612
16 features Labs 3840 452
32 features Labs 7680 778
42 features Labs 10080 732
Labs+demo 10224 384
Labs+demo+events 11568 374
Labs+demo+events+triples - -
11 filtered features Labs 2640 431
Labs+demo 2784 330
Labs+demo+events 4128 468
Labs+demo+events+triples 95136 995