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14 Open 0 Closed
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Issues list

Claim 3.4 fitted function is closer to being additive
#14 opened Dec 24, 2022 by do8572
1
Claim 3.3 makes it easier to interpret model interactions
#13 opened Dec 24, 2022 by do8572
@dmohorcic
1
Claim 3.2 Reduces explanation (SHAP) variance (Fig. 6)
#12 opened Dec 24, 2022 by do8572
@dmohorcic
Claim 3.1 removes sampling artifacts & simplifies boundaries (Fig. 5)
#11 opened Dec 24, 2022 by do8572
@dmohorcic
Claim 2.3 hsRF much faster to fit than BART (10 - 15 times faster)
#10 opened Dec 24, 2022 by do8572
@do8572
Claim 2.2 hsRF achieves maximum performance with fewer trees than RF (5 times fewer trees)
#9 opened Dec 24, 2022 by do8572
@do8572
Claim 2.1 HS improves prediction performance of RF (comparison of hs vs mtry vs depth parameters)
#8 opened Dec 24, 2022 by do8572
@do8572
Claim 1.7 hsCART outperforms CART (LBS)
#7 opened Dec 24, 2022 by do8572
@dmohorcic
Claim 1.6 decrease bias^2 + var (Fig. 3)
#6 opened Dec 24, 2022 by do8572
@dmohorcic
Claim 1.5 use of HS could allow for otherwise undetected groups
#5 opened Dec 24, 2022 by do8572
Claim 1.4 CCP and HS can be used synergistically
#4 opened Dec 24, 2022 by do8572
@do8572
Claim 1.3 Improvements tend to increase with number of leaves
#3 opened Dec 24, 2022 by do8572
@do8572
Claim 1.2 Improvements more significant for smaller datasets
#2 opened Dec 24, 2022 by do8572
@do8572
Claim 1.1 HS improves predictive performance of DT (Fig. 4)
#1 opened Dec 24, 2022 by do8572
@do8572
ProTip! What’s not been updated in a month: updated:<2024-12-05.