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Uploaded 29-06-2016 by
Jan van Rijn
cortana.3073
1171422 runs
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Subgroup Discovery search algorithm.
Parameters
alpha default: 0.5 beam_seed beta default: 1.0 maximum_coverage_fraction default: 1.0 maximum_subgroups default: 0 maximum_time default: 1 minimum_coverage default: 2 nr_bins default: 8 nr_threads default: 8 numeric_operators default: ≤, ≥ numeric_strategy default: best-bins overall_ranking_loss default: 0.0 post_processing_count default: 20 post_processing_do_autorun default: true search_depth default: 1 search_strategy default: beam search_strategy_width default: 100 time_limit default: 1 use_nominal_sets default: false
0
Runs
Parameter:
none
alpha
beam seed
beta
maximum coverage fraction
maximum subgroups
maximum time
minimum coverage
nr bins
nr threads
numeric operators
numeric strategy
overall ranking loss
post processing count
post processing do autorun
search depth
search strategy
search strategy width
time limit
use nominal sets
Supervised Classification
Supervised Regression
Learning Curve
Supervised Data Stream Classification
Clustering
Machine Learning Challenge
Survival Analysis
Subgroup Discovery
area under roc curve
average cost
binominal test
build cpu time
build memory
c index
chi-squared
class complexity
class complexity gain
confusion matrix
correlation coefficient
cortana quality
coverage
f measure
information gain
jaccard
kappa
kb relative information score
kohavi wolpert bias squared
kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
mean weighted area under roc curve
mean weighted f measure
mean weighted precision
weighted recall
number of instances
os information
positives
precision
predictive accuracy
prior class complexity
prior entropy
probability
quality
ram hours
recall
relative absolute error
root mean prior squared error
root mean squared error
root relative squared error
run cpu time
run memory
run virtual memory
scimark benchmark
single point area under roc curve
total cost
unclassified instance count
usercpu time millis
usercpu time millis testing
usercpu time millis training
webb bias
webb error
webb variance
joint entropy
pattern team auroc10
wall clock time millis
wall clock time millis training
wall clock time millis testing
unweighted recall