MEX Performance (mex-perf) is an ontology with the goal of describing performance values for machine learning problems (MEX Platform)

classification measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#ClassificationMeasure

has super-classes

performance measure^c

is in domain of

accuracy^dp, error^dp, f1 measure^dp, false negative^dp, false negative rate^dp, false positive^dp, false positive rate^dp, precision^dp, recall^dp, roc^dp, sensitivity^dp, specificity^dp, true negative^dp, true negative rate^dp, true positive^dp, true positive rate^dp

clustering measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#ClusteringMeasure

has super-classes

performance measure^c

is in domain of

chebyschev distance^dp, cosine^dp, error^dp, euclidean distance^dp, gen similarity coefficient^dp, hamming distance^dp, manhattan distance^dp

example performance measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#ExamplePerformanceMeasure

has super-classes

entity^c

is in domain of

predicted value^dp, real value^dp

example performance measure collection^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#ExamplePerformanceMeasureCollection

has super-classes

collection^c

execution performance^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#ExecutionPerformance

has super-classes

activity^c

performance measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#PerformanceMeasure

has super-classes

entity^c

has sub-classes

classification measure^c, clustering measure^c, regression measure^c, statistical measure^c, user defined measure^c

regression measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#RegressionMeasure

has super-classes

performance measure^c

is in domain of

correlation coefficient^dp, error^dp, mean absolute deviation^dp, mean squared error^dp, median absolute deviation^dp, relative absolute error^dp, residual^dp, root mean squared error^dp, root relative squared error^dp, total error^dp

statistical measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#StatisticalMeasure

has super-classes

performance measure^c

is in domain of

Pointwise mutual information^dp, bonferroni dunn^dp, chi square^dp, error^dp, friedman^dp, kappa statistics^dp, kolmogorov smirnov^dp, l1norm^dp, l2norm^dp, linfnorm^dp, mean^dp, median^dp, mode^dp, nemenyi^dp, pearson correlation^dp, spmi^dp, standard deviation^dp, variance^dp, wilcoxon^dp

user defined measure^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#UserDefinedMeasure

has super-classes

performance measure^c

is in domain of

formula^dp

user defined measure collection^c back to ToC or Class ToC

IRI: http://mex.aksw.org/mex-perf#UserDefinedMeasureCollection

has super-classes

collection^c

accuracy^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#accuracy

bonferroni dunn^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#bonferroniDunn

chebyschev distance^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#chebyschevDistance

chi square^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#chiSquare

correlation coefficient^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#correlationCoefficient

cosine^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#cosine

error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#error

euclidean distance^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#euclideanDistance

f1 measure^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#f1Measure

false negative^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#falseNegative

false negative rate^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#falseNegativeRate

false positive^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#falsePositive

false positive rate^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#falsePositiveRate

folds^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#folds

formula^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#formula

friedman^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#friedman

gen similarity coefficient^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#genSimilarityCoefficient

hamming distance^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#hammingDistance

kappa statistics^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#kappaStatistics

kernel^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#kernel

kolmogorov smirnov^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#kolmogorovSmirnov

l1norm^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#L1norm

l2norm^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#L2norm

linfnorm^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#Linfnorm

manhattan distance^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#manhattanDistance

mean^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#mean

mean absolute deviation^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#meanAbsoluteDeviation

mean squared error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#meanSquaredError

median^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#median

median absolute deviation^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#medianAbsoluteDeviation

mode^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#mode

nemenyi^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#nemenyi

pearson correlation^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#pearsonCorrelation

Pointwise mutual information^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#pmi

precision^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#precision

predicted value^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#predictedValue

real value^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#realValue

recall^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#recall

relative absolute error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#relativeAbsoluteError

residual^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#residual

roc^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#roc

root mean squared error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#rootMeanSquaredError

root relative squared error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#rootRelativeSquaredError

sensitivity^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#sensitivity

specificity^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#specificity

spmi^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#spmi

standard deviation^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#standardDeviation

total error^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#totalError

true negative^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#trueNegative

true negative rate^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#trueNegativeRate

true positive^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#truePositive

true positive rate^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#truePositiveRate

variance^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#variance

wilcoxon^dp back to ToC or Data Property ToC

IRI: http://mex.aksw.org/mex-perf#wilcoxon