5523
2654
moa.HoeffdingTreeClassifLeaves_NaiveBayes
1
Moa__16.04_April_2016_1.0
Moa implementation of HoeffdingTreeClassifLeaves
2017-02-28T14:54:15
English
Moa__16.04_April_2016
a
baselearner
bayes.NaiveBayes
learner: Classifier to train.
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.
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.
a
4798
1
moa.NaiveBayes
4
Moa__16.04_April_2016_1.0
Moa implementation of NaiveBayes
2016-10-05T19:31:21
English
Moa__16.04_April_2016
Verified_Supervised_Data_Stream_Classification
Verified_Supervised_Data_Stream_Classification