F1 Score

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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

F1 Score

Rdf:type	Evaluation Function^[12]
Rdf:type	Evaluation Metric^[9]
Rdfs:label	f1_score^[8]
Rdfs:label	F1 score^[12]
Combines	Precision^[1]
Combines	Precision Score^[8]
Requires	Ground Truth^[12]
Requires	Results^[6]
Calculates	F1 Score Metric^[4]
Calculates	F1 Value^[1]
Is Harmonic Mean of	Precision^[1]
Is Harmonic Mean of	Recall^[1]
Depends on	Precision^[10]
Depends on	Recall^[10]
Called With	Ground Truth^[6]
Called With	Results^[6]

ex:f1_score

F1 Score has 73 facts recorded in Dontopedia across 18 references, with 10 live disagreements.

73 facts·41 predicates·18 sources·10 in dispute

Mostly:rdf:type(12), combines(6), rdfs:label(5)

Rdf:typein dispute`rdf:type`

Evaluation Function^[12]all time · 575c6f15 A6fa 439f 9d3d Ef28e0854e79
Evaluation Metric^[9]all time · 697d8ceb 4767 4332 Ba36 3922b2447184
Function^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
Function^[14]all time · Ebda2d07 C933 44d1 Ba4e Dbff565d177a
Function^[6]all time · Ab86a7b2 F677 45b2 B1d3 D2413153a445
Function^[16]all time · C07ae379 Ae89 4db6 8cc7 34e24961d945
Function^[8]all time · 9087a46d 65a1 4efb Af6d 87d65f7c2619
Function^[4]all time · D55ddf99 0fd1 4fb6 8888 Dd2618e22db8
Metric^[3]all time · F7f45362 0e53 4391 9da9 F8d3a4a42e58
Metric^[10]all time · 9dc1c249 B692 4d8f 853e 0fd0e436813f

Rdfs:labelin dispute`rdfs:label`

f1_score^[8]all time · 9087a46d 65a1 4efb Af6d 87d65f7c2619
f1_score^[4]all time · D55ddf99 0fd1 4fb6 8888 Dd2618e22db8
f1_score^[15]sourceall time · 42f279b2 A34b 446e 9204 29e263d7a929
f1_score^[9]sourceall time · 697d8ceb 4767 4332 Ba36 3922b2447184
F1 score^[12]all time · 575c6f15 A6fa 439f 9d3d Ef28e0854e79

Combinesin dispute`combines`

Precision^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
Precision^[7]all time · 5bd41d22 3ca1 4003 B984 10661f0214c0
Precision Score^[8]all time · 9087a46d 65a1 4efb Af6d 87d65f7c2619
Recall^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
Recall^[7]all time · 5bd41d22 3ca1 4003 B984 10661f0214c0
Recall Score^[8]all time · 9087a46d 65a1 4efb Af6d 87d65f7c2619

Requiresin dispute`requires`

Ground Truth^[12]all time · 575c6f15 A6fa 439f 9d3d Ef28e0854e79
Ground Truth^[6]all time · Ab86a7b2 F677 45b2 B1d3 D2413153a445
Results^[6]all time · Ab86a7b2 F677 45b2 B1d3 D2413153a445

Calculatesin dispute`calculates`

F1 Score Metric^[4]sourceall time · D55ddf99 0fd1 4fb6 8888 Dd2618e22db8
F1 Value^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde

Is Harmonic Mean ofin dispute`isHarmonicMeanOf`

Precision^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
Recall^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
precision_and_recall^[3]all time · F7f45362 0e53 4391 9da9 F8d3a4a42e58

Depends onin dispute`dependsOn`

Precision^[10]sourceall time · 9dc1c249 B692 4d8f 853e 0fd0e436813f
Recall^[10]sourceall time · 9dc1c249 B692 4d8f 853e 0fd0e436813f

Called Within dispute`calledWith`

Ground Truth^[6]sourceall time · Ab86a7b2 F677 45b2 B1d3 D2413153a445
Results^[6]sourceall time · Ab86a7b2 F677 45b2 B1d3 D2413153a445

Comparesin dispute`compares`

Ground Truth^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde
Predictions^[1]all time · Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde

Takes Parameterin dispute`takesParameter`

predictions^[14]all time · Ebda2d07 C933 44d1 Ba4e Dbff565d177a
true_labels^[14]all time · Ebda2d07 C933 44d1 Ba4e Dbff565d177a
average^[14]all time · Ebda2d07 C933 44d1 Ba4e Dbff565d177a

Returns`returns`

F1^[7]all time · 5bd41d22 3ca1 4003 B984 10661f0214c0
F1^[14]all time · Ebda2d07 C933 44d1 Ba4e Dbff565d177a
F1^[6]all time · Ab86a7b2 F677 45b2 B1d3 D2413153a445

Called by`calledBy`

Compute Metrics Function^[5]sourceall time · 2bf979a4 4d10 40b9 9692 8653827a61e1

Inbound mentions (37)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`usedBy`Used by(5)

Classification Metricex:classification_metric
Ground Truthex:ground_truth
Ground Truthex:ground_truth
Resultsex:results
Resultsex:results

`includes`Includes(3)

Classification Reportex:classification_report
Metric Functionsex:metric-functions
Performance Metricsex:performance_metrics

`consistsOf`Consists of(2)

Additional Metricsex:additional_metrics
Metrics Calculationex:metrics_calculation

`containsFunction`Contains Function(2)

Sklearn Metricsex:sklearn-metrics
Sklearn Metricsex:sklearn-metrics

`hasMember`Has Member(2)

Metricsex:metrics
Metrics Listex:metrics-list

`importedFunction`Imported Function(2)

Sklearn.metricsex:sklearn.metrics
Sklearn.metricsex:sklearn.metrics

`isInputTo`Is Input to(2)

Y Predex:y_pred
Y Testex:y_test

`providesFunction`Provides Function(2)

Sklearn Metricsex:sklearn-metrics
Sklearn.metricsex:sklearn.metrics

`accumulatesValues`Accumulates Values(1)

Resultsex:results

`appliesFunction`Applies Function(1)

Grid Searchex:grid-search

`assignedBy`Assigned by(1)

F1ex:f1

`computedBy`Computed by(1)

F1 Metricex:f1-metric

`computes`Computes(1)

Test Sparse Retrieval Engineex:test_sparse_retrieval_engine

`computesMetrics`Computes Metrics(1)

Test Sparse Retrieval Engineex:test_sparse_retrieval_engine

`containsAction`Contains Action(1)

Step Final Evaluationex:step_final_evaluation

`dependsOn`Depends on(1)

Test Sparse Retrieval Engineex:test_sparse_retrieval_engine

`hasElement`Has Element(1)

Metricsex:metrics

`importsFunction`Imports Function(1)

Sklearn Importex:sklearn-import

`isParameterFor`Is Parameter for(1)

Weighted Averageex:weighted-average

`isProvidedBy`Is Provided by(1)

F1ex:f1

`measuredBy`Measured by(1)

Engine Performanceex:engine_performance

`returns`Returns(1)

Evaluate Toolex:evaluate_tool

`usedIn`Used in(1)

Harmonic Meanex:harmonic_mean

`usesFunction`Uses Function(1)

Calculate Metricsex:calculate-metrics

`usesLibraryFunction`Uses Library Function(1)

Evaluate Model Functionex:evaluate-model-function

Other facts (29)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

29 facts

Predicate	Value	Ref
Parameter Value	weighted	[5]
Has Parameter	average	[5]
Uses Technique	Weighted Averaging	[18]
Is Scikit Learn Function	true	[12]
Is Classification Metric	true	[12]
Produces	Final F1	[12]
Imported From	Sklearn	[11]
Definition	Harmonic mean of precision and recall	[10]
Computes	F1 Metric	[8]
Module	Sklearn.metrics	[8]
Alias	F1	[1]
Metric Type	Classification Metric	[1]
Special Case of	F Measure	[17]
Is Metric of	Matrix	[13]
Belongs to Category	Performance Metrics	[2]
Is Column of	Matrix	[2]
Numerical Stability	zero-division-protection	[9]
Mathematical Definition	harmonic mean of precision and recall	[9]
Prevents Division by Zero	true	[9]
Harmonic Mean	true	[9]
Fallback Value	0	[9]
Conditional Calculation	true	[9]
Is Element of	Metrics	[9]
Requires Parameter	Average Parameter	[14]
Provided by	Sklearn.metrics	[14]
Supports Averaging Method	Weighted Average	[14]
Has Fallback	zero	[3]
Computed by	division_operation	[3]
Calculated As	two_times_precision_times_recall_divided_by_precision_plus_recall	[3]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

73 undated

—

aliasbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:f1

—

belongsToCategorybeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6

ex:performance-metrics

—

calculatedAsbeam/f7f45362-0e53-4391-9da9-f8d3a4a42e58

two_times_precision_times_recall_divided_by_precision_plus_recall

—

calculatesbeam/d55ddf99-0fd1-4fb6-8888-dd2618e22db8

ex:f1-score-metric

—

calculatesbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:f1_value

—

calledBybeam/2bf979a4-4d10-40b9-9692-8653827a61e1

ex:compute-metrics-function

—

calledWithbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:ground_truth

—

calledWithbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:results

—

combinesbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:precision

—

combinesbeam/5bd41d22-3ca1-4003-b984-10661f0214c0

ex:precision

—

combinesbeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

ex:precision_score

—

combinesbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:recall

—

combinesbeam/5bd41d22-3ca1-4003-b984-10661f0214c0

ex:recall

—

combinesbeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

ex:recall_score

—

comparesbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:ground_truth

—

comparesbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:predictions

—

computedBybeam/f7f45362-0e53-4391-9da9-f8d3a4a42e58

division_operation

—

computesbeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

ex:f1_metric

—

conditionalCalculationbeam/697d8ceb-4767-4332-ba36-3922b2447184

true

—

definitionbeam/9dc1c249-b692-4d8f-853e-0fd0e436813f

Harmonic mean of precision and recall

—

dependsOnbeam/9dc1c249-b692-4d8f-853e-0fd0e436813f

ex:precision

—

dependsOnbeam/9dc1c249-b692-4d8f-853e-0fd0e436813f

ex:recall

—

fallbackValuebeam/697d8ceb-4767-4332-ba36-3922b2447184

—

harmonicMeanbeam/697d8ceb-4767-4332-ba36-3922b2447184

true

—

hasFallbackbeam/f7f45362-0e53-4391-9da9-f8d3a4a42e58

zero

—

hasParameterbeam/2bf979a4-4d10-40b9-9692-8653827a61e1

average

—

importedFrombeam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865

ex:sklearn

—

isClassificationMetricbeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

true

—

isColumnOfbeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6

ex:matrix

—

isElementOfbeam/697d8ceb-4767-4332-ba36-3922b2447184

ex:metrics

—

isHarmonicMeanOfbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:precision

—

isHarmonicMeanOfbeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:recall

—

isHarmonicMeanOfbeam/f7f45362-0e53-4391-9da9-f8d3a4a42e58

precision_and_recall

—

isMetricOfbeam/645b72fe-4da0-4ebf-b7f1-db6f7953c2c4

ex:matrix

—

isScikitLearnFunctionbeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

true

—

mathematicalDefinitionbeam/697d8ceb-4767-4332-ba36-3922b2447184

harmonic mean of precision and recall

—

metricTypebeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:ClassificationMetric

—

modulebeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

ex:sklearn.metrics

—

numericalStabilitybeam/697d8ceb-4767-4332-ba36-3922b2447184

zero-division-protection

—

parameterValuebeam/2bf979a4-4d10-40b9-9692-8653827a61e1

weighted

—

preventsDivisionByZerobeam/697d8ceb-4767-4332-ba36-3922b2447184

true

—

producesbeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

ex:final_f1

—

providedBybeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

ex:sklearn.metrics

—

labelbeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

f1_score

—

labelbeam/d55ddf99-0fd1-4fb6-8888-dd2618e22db8

f1_score

—

labelbeam/42f279b2-a34b-446e-9204-29e263d7a929

f1_score

—

labelbeam/697d8ceb-4767-4332-ba36-3922b2447184

f1_score

—

labelbeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

F1 score

—

typebeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

ex:EvaluationFunction

—

typebeam/697d8ceb-4767-4332-ba36-3922b2447184

ex:EvaluationMetric

—

typebeam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde

ex:Function

—

typebeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

ex:Function

—

typebeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:Function

—

typebeam/c07ae379-ae89-4db6-8cc7-34e24961d945

ex:Function

—

typebeam/9087a46d-65a1-4efb-af6d-87d65f7c2619

ex:Function

—

typebeam/d55ddf99-0fd1-4fb6-8888-dd2618e22db8

ex:Function

—

typebeam/f7f45362-0e53-4391-9da9-f8d3a4a42e58

ex:Metric

—

typebeam/9dc1c249-b692-4d8f-853e-0fd0e436813f

ex:Metric

—

typebeam/2bf979a4-4d10-40b9-9692-8653827a61e1

ex:MetricFunction

—

typebeam/f046bfd3-c03b-4abb-8935-1462ceeedfa6

ex:PerformanceMetric

—

requiresbeam/575c6f15-a6fa-439f-9d3d-ef28e0854e79

ex:ground_truth

—

requiresbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:ground_truth

—

requiresbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:results

—

requiresParameterbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

ex:average-parameter

—

returnsbeam/5bd41d22-3ca1-4003-b984-10661f0214c0

ex:f1

—

returnsbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

ex:f1

—

returnsbeam/ab86a7b2-f677-45b2-b1d3-d2413153a445

ex:f1

—

specialCaseOfbeam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9

ex:F-measure

—

supportsAveragingMethodbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

ex:weighted-average

—

takesParameterbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

predictions

—

takesParameterbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

true_labels

—

takesParameterbeam/ebda2d07-c933-44d1-ba4e-dbff565d177a

average

—

usesTechniquebeam/8c98e67e-181b-4bd3-959b-a984a9e85208

ex:weighted-averaging

References (18)

18 references

[1]Dd3a50ba 654e 47e8 B2f7 6fd2c1c26cde10 facts
customctx:claims/beam/dd3a50ba-654e-47e8-b2f7-6fd2c1c26cde
[2]beam-chunk3 facts
customctx:claims/beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
- full textbeam-chunk
  text/plain1 KBdoc:beam/f046bfd3-c03b-4abb-8935-1462ceeedfa6
  Show excerpt
  # Define the databases to compare databases = ['Milvus 2.3.0', 'Faiss 1.7.3', 'Annoy 1.18.0', 'Hnswlib 0.9.2', 'Qdrant 0.8.1', 'Weaviate 1.14.0'] # Define the performance metrics to compare metrics = [ 'search_time', 'indexing_time', '…
[3]F7f45362 0e53 4391 9da9 F8d3a4a42e585 facts
customctx:claims/beam/f7f45362-0e53-4391-9da9-f8d3a4a42e58
[4]beam-chunk3 facts
customctx:claims/beam/d55ddf99-0fd1-4fb6-8888-dd2618e22db8
- full textbeam-chunk
  text/plain1 KBdoc:beam/d55ddf99-0fd1-4fb6-8888-dd2618e22db8
  Show excerpt
  print(f"Average Duration: {metrics['average_duration']:.4f} seconds") print(f"Average Throughput: {metrics['average_throughput']:.2f} queries/second") print(f"Average Latency: {metrics['average_latency']:.4f} seconds") print(f"Average Preci…
[5]beam-chunk4 facts
customctx:claims/beam/2bf979a4-4d10-40b9-9692-8653827a61e1
- full textbeam-chunk
  text/plain1 KBdoc:beam/2bf979a4-4d10-40b9-9692-8653827a61e1
  Show excerpt
  ### Step 4: Modify Your Script for Logging Ensure your Python script logs the metrics to a file named `metrics.log`. Here's an updated version of the script: ```python import numpy as np from sklearn.datasets import make_classification fr…
[6]beam-chunk6 facts
customctx:claims/beam/ab86a7b2-f677-45b2-b1d3-d2413153a445
- full textbeam-chunk
  text/plain1 KBdoc:beam/ab86a7b2-f677-45b2-b1d3-d2413153a445
  Show excerpt
  ground_truth = generate_ground_truth(num_queries, num_relevant) with Timer() as timer: results = engine.search(test_data) total_duration += timer.duration total_throughput += num_queries…
[7]5bd41d22 3ca1 4003 B984 10661f0214c03 facts
customctx:claims/beam/5bd41d22-3ca1-4003-b984-10661f0214c0
[8]9087a46d 65a1 4efb Af6d 87d65f7c26196 facts
customctx:claims/beam/9087a46d-65a1-4efb-af6d-87d65f7c2619
[9]beam-chunk9 facts
customctx:claims/beam/697d8ceb-4767-4332-ba36-3922b2447184
- full textbeam-chunk
  text/plain1 KBdoc:beam/697d8ceb-4767-4332-ba36-3922b2447184
  Show excerpt
  import random # Define the retrieval tools tools = ['tool1', 'tool2'] # Define the documents documents = [f'document{i}' for i in range(400)] # Define the evaluation metrics metrics = ['recall', 'precision', 'f1_score'] # Initialize the…
[10]beam-chunk4 facts
customctx:claims/beam/9dc1c249-b692-4d8f-853e-0fd0e436813f
- full textbeam-chunk
  text/plain1 KBdoc:beam/9dc1c249-b692-4d8f-853e-0fd0e436813f
  Show excerpt
  return mean_precision, mean_recall, mean_f1, mean_ap def simulate_bm25_retrieval(query, documents): # Placeholder for actual BM25 retrieval logic # Return a subset of documents as retrieved documents return documents[:3] #…
[11]A55e7e9c F5ae 4d91 B7ce Cd62d54978651 fact
customctx:claims/beam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865
[12]beam-chunk6 facts
customctx:claims/beam/575c6f15-a6fa-439f-9d3d-ef28e0854e79
- full textbeam-chunk
  text/plain1023 Bdoc:beam/575c6f15-a6fa-439f-9d3d-ef28e0854e79
  Show excerpt
  best_score = grid_search.best_score_ print(f"Best parameters: {best_params}") print(f"Best cross-validation accuracy: {best_score:.4f}") # Re-fit with best parameters pipeline.set_params(**best_params) pipeline.fit(X_train, y_train) # Fi…
[13]beam-chunk1 fact
customctx:claims/beam/645b72fe-4da0-4ebf-b7f1-db6f7953c2c4
- full textbeam-chunk
  text/plain1 KBdoc:beam/645b72fe-4da0-4ebf-b7f1-db6f7953c2c4
  Show excerpt
  matrix.loc['Qdrant 0.8.1', 'precision_rate'] = 0.96 matrix.loc['Weaviate 1.14.0', 'precision_rate'] = 0.95 matrix.loc['Milvus 2.3.0', 'f1_score'] = 0.955 matrix.loc['Faiss 1.7.3', 'f1_score'] = 0.945 matrix.loc['Annoy 1.18.0', 'f1_score'] …
[14]beam-chunk8 facts
customctx:claims/beam/ebda2d07-c933-44d1-ba4e-dbff565d177a
- full textbeam-chunk
  text/plain995 Bdoc:beam/ebda2d07-c933-44d1-ba4e-dbff565d177a
  Show excerpt
  ### Example Code for Classification Task Here's an example of how you might evaluate a classification task using accuracy and F1 score in Python: ```python from sklearn.metrics import accuracy_score, f1_score, confusion_matrix # Predicti…
[15]beam-chunk1 fact
customctx:claims/beam/42f279b2-a34b-446e-9204-29e263d7a929
- full textbeam-chunk
  text/plain1 KBdoc:beam/42f279b2-a34b-446e-9204-29e263d7a929
  Show excerpt
  from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score def evaluate(y_true, y_pred): acc = accuracy_score(y_true, y_pred) prec = precision_score(y_true, y_pred, average='weighted') …
[16]C07ae379 Ae89 4db6 8cc7 34e24961d9451 fact
customctx:claims/beam/c07ae379-ae89-4db6-8cc7-34e24961d945
[17]6dbe8f35 74b9 40c2 9797 0debc6fb19f91 fact
ctx:claims/beam/6dbe8f35-74b9-40c2-9797-0debc6fb19f9
[18]8c98e67e 181b 4bd3 959b A984a9e852081 fact
ctx:claims/beam/8c98e67e-181b-4bd3-959b-a984a9e85208

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F1 Score

Rdf:typein disputerdf:type

Rdfs:labelin disputerdfs:label

Combinesin disputecombines

Requiresin disputerequires

Calculatesin disputecalculates

Is Harmonic Mean ofin disputeisHarmonicMeanOf

Depends onin disputedependsOn

Called Within disputecalledWith

Comparesin disputecompares

Takes Parameterin disputetakesParameter

Returnsreturns

Called bycalledBy

Inbound mentions (37)

usedByUsed by(5)

includesIncludes(3)

consistsOfConsists of(2)

containsFunctionContains Function(2)

hasMemberHas Member(2)

importedFunctionImported Function(2)

isInputToIs Input to(2)

providesFunctionProvides Function(2)

accumulatesValuesAccumulates Values(1)

appliesFunctionApplies Function(1)

assignedByAssigned by(1)

computedByComputed by(1)

computesComputes(1)

computesMetricsComputes Metrics(1)

containsActionContains Action(1)

dependsOnDepends on(1)

hasElementHas Element(1)

importsFunctionImports Function(1)

isParameterForIs Parameter for(1)

isProvidedByIs Provided by(1)

measuredByMeasured by(1)

returnsReturns(1)

usedInUsed in(1)

usesFunctionUses Function(1)

usesLibraryFunctionUses Library Function(1)

Other facts (29)

Timeline

References (18)

See also

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Rdf:typein dispute`rdf:type`

Rdfs:labelin dispute`rdfs:label`

Combinesin dispute`combines`

Requiresin dispute`requires`

Calculatesin dispute`calculates`

Is Harmonic Mean ofin dispute`isHarmonicMeanOf`

Depends onin dispute`dependsOn`

Called Within dispute`calledWith`

Comparesin dispute`compares`

Takes Parameterin dispute`takesParameter`

Returns`returns`

Called by`calledBy`

`usedBy`Used by(5)

`includes`Includes(3)

`consistsOf`Consists of(2)

`containsFunction`Contains Function(2)

`hasMember`Has Member(2)

`importedFunction`Imported Function(2)

`isInputTo`Is Input to(2)

`providesFunction`Provides Function(2)

`accumulatesValues`Accumulates Values(1)

`appliesFunction`Applies Function(1)

`assignedBy`Assigned by(1)

`computedBy`Computed by(1)

`computes`Computes(1)

`computesMetrics`Computes Metrics(1)

`containsAction`Contains Action(1)

`dependsOn`Depends on(1)

`hasElement`Has Element(1)

`importsFunction`Imports Function(1)

`isParameterFor`Is Parameter for(1)

`isProvidedBy`Is Provided by(1)

`measuredBy`Measured by(1)

`returns`Returns(1)

`usedIn`Used in(1)

`usesFunction`Uses Function(1)

`usesLibraryFunction`Uses Library Function(1)