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Table 2 The best parameter combination trained from CAFA2-Swiss is utilized in the CAFA2-Benchmark

From: GODoc: high-throughput protein function prediction using novel k-nearest-neighbor and voting algorithms

Type

PCA dims

Exp. ratio (%)

Method

Voting weight

k or dynamic

BPO

107

96.0

1NN

1

Fixed-KNN

inverse

7

Dynamic-KNN

inverse

Q2

Hybrid-KNN

inverse

4 + Q2

CCO

51

95.0

1NN

1

Fixed-KNN

inverse

9

Dynamic-KNN

inverse

Q2

Hybrid-KNN

inverse

7 + Q2

MFO

121

96.5

1NN

1

Fixed-KNN

inverse

3

Dynamic-KNN

inverse

Q2

Hybrid-KNN

inverse

3 + Q2