GO-SIM
type: Feature
description: GO based drug-drug similarity
embedding type: Drugs

HPO-SIM
type: Feature
description: HPO based disease-disease similarity
embedding type: Diseases

PHENO-SIM
type: Feature
description: Disease Phenotype Similarity based on MESH terms similarity
embedding type: Diseases

PPI-SIM
type: Feature
description: PPI based drug-drug similarity, calculate distance between drugs on protein-protein interaction network
embedding type: Drugs

SE-SIM
type: Feature
description: Drug side effect similarity, calculating Jaccard coefficient based on drug sideefects
embedding type: Drugs

TARGETSEQ-SIM
type: Feature
description: Drug target sequence similarity: calculation of SmithWaterman sequence alignment scores
embedding type: Drugs

TC
type: Feature
description: Drug fingerprint similarity, calculating MACS based fingerprint (substructure) similarity
embedding type: Drugs

random state
type: HyperParameterSetting
has value: 100
specified by: random_state

tol
type: HyperParameter

dual
type: HyperParameter

penalty
type: HyperParameterSetting
has value: l2
specified by: penalty

penalty
type: HyperParameter

tol
type: HyperParameterSetting
has value: 1.0E-4
specified by: tol

random_state
type: HyperParameter

C
type: HyperParameter

https://w3id.org/openpredict/HyperParameterSetting/C
type: HyperParameterSetting
has value: 1.0E0
specified by: C

dual
type: HyperParameterSetting
has value: false
specified by: dual

openpredict-baseline-omim-drugbank
type: Run
executes: OpenPredict
has input: https://w3id.org/openpredict/HyperParameterSetting/C
has input: dual
has input: penalty
has input: random state
has input: tol
has input: GO-SIM
has input: HPO-SIM
has input: PHENO-SIM
has input: PPI-SIM
has input: SE-SIM
has input: TARGETSEQ-SIM
has input: TC
has output: Model
has output: ModelEvaluation
realizes: LogisticRegression
generated at time: 2020-11-04T20:06:51.778207

accuracy
type: EvaluationMeasure
has value: 8.683417085427135E-1

recall
type: EvaluationMeasure
has value: 7.228915662650602E-1

average_precision
type: EvaluationMeasure
has value: 8.733631857757298E-1

precision
type: EvaluationMeasure
has value: 8.602150537634409E-1

roc_auc
type: EvaluationMeasure
has value: 8.988169874066402E-1

f1
type: EvaluationMeasure
has value: 7.855973813420621E-1