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Table 1 Statistical testing of NRF results for the 9x9 dataset, with regard to autoencoder (AE) and matrix factorization (MF). Statistically significant improvements achieved by PhyloMissForest (under any of the considered configuration profiles) are denoted as \(\checkmark \), while non-significant differences are marked with ×

From: PhyloMissForest: a random forest framework to construct phylogenetic trees with missing data

Dataset

%Missing

Non-bootstrap p-values

Bootstrap p-values

PhyloMissForest diff.

  

Vs. AE

Vs. MF

Vs. AE

Vs. MF

Vs. AE

Vs. MF

9x9

5%

0.09

0.25

0.02

0.10

\(\checkmark \)

\(\checkmark \)

 

10%

0.00

0.02

0.00

0.01

\(\checkmark \)

\(\checkmark \)

 

15%

0.02

0.08

0.01

0.09

\(\checkmark \)

\(\checkmark \)

 

20%

0.02

0.02

0.11

0.14

\(\checkmark \)

\(\checkmark \)

 

25%

0.25

0.28

0.22

0.12

×

×

 

30%

0.00

0.14

0.00

0.12

\(\checkmark \)

×

 

35%

0.58

0.17

0.97

0.44

×

×

 

40%

0.09

0.31

0.19

0.35

\(\checkmark \)

×

 

45%

0.31

0.44

0.06

0.10

\(\checkmark \)

\(\checkmark \)

 

50%

0.14

0.17

0.09

0.53

\(\checkmark \)

×

 

55%

0.11

0.44

0.01

0.09

\(\checkmark \)

\(\checkmark \)

 

60%

0.01

0.91

0.00

0.35

\(\checkmark \)

×

  1. Bold values refer to p-values denoting statistically significant improvements