2699
1
moa.LeveragingBag_HoeffdingTree
2
Moa_14.11_November_2014_1.0
Moa implementation of LeveragingBag
2016-02-18T08:25:45
English
Moa_14.11_November_2014
a
option
0.002
deltaAdwin: Delta of Adwin change detection
l
baselearner
trees.HoeffdingTree
baseLearner: Classifier to train.
m
option
LeveragingBag
leveraginBagAlgorithm: Leveraging Bagging to use.
o
flag
false
outputCodes: Use Output Codes to use binary classifiers.
r
option
1
randomSeed: Seed for random behaviour of the classifier.
s
option
10
ensembleSize: The number of models in the bag.
w
option
6.0
weightShrink: The number to use to compute the weight of new instances.
l
2688
1
moa.HoeffdingTree
5
Moa_14.11_November_2014_1.0
Moa implementation of HoeffdingTree
2016-02-15T05:26:52
English
Moa_14.11_November_2014
b
flag
false
binarySplits: Only allow binary splits.
c
option
1.0E-7
splitConfidence: The allowable error in split decision, values closer to 0 will take longer to decide.
d
baselearner
NominalAttributeClassObserver
nominalEstimator: Nominal estimator to use.
e
option
1000000
memoryEstimatePeriod: How many instances between memory consumption checks.
g
option
200
gracePeriod: The number of instances a leaf should observe between split attempts.
l
option
NBAdaptive
leafprediction: Leaf prediction to use.
m
option
33554432
maxByteSize: Maximum memory consumed by the tree.
n
baselearner
GaussianNumericAttributeClassObserver
numericEstimator: Numeric estimator to use.
p
flag
false
noPrePrune: Disable pre-pruning.
q
option
0
nbThreshold: The number of instances a leaf should observe before permitting Naive Bayes.
r
flag
false
removePoorAtts: Disable poor attributes.
s
baselearner
InfoGainSplitCriterion
splitCriterion: Split criterion to use.
t
option
0.05
tieThreshold: Threshold below which a split will be forced to break ties.
z
flag
false
stopMemManagement: Stop growing as soon as memory limit is hit.
Verified_Supervised_Data_Stream_Classification
study_16
Verified_Supervised_Data_Stream_Classification
https://api.openml.org/data/download/1798965/moa.classifiers.meta.LeveragingBag9561672295145552.class
class
9e1a2378279accb84560ba076d71f7d7