Run
160440

Run 160440

Task 6801 (Supervised Data Stream Classification) vehicle_sensIT Uploaded 14-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

moa.OzaBoost_HoeffdingTree(1)Moa implementation of OzaBoost
moa.HoeffdingTree(1)_bfalse
moa.HoeffdingTree(1)_c1.0E-7
moa.HoeffdingTree(1)_dNominalAttributeClassObserver
moa.HoeffdingTree(1)_e1000000
moa.HoeffdingTree(1)_g200
moa.HoeffdingTree(1)_lNBAdaptive
moa.HoeffdingTree(1)_m33554432
moa.HoeffdingTree(1)_nGaussianNumericAttributeClassObserver
moa.HoeffdingTree(1)_pfalse
moa.HoeffdingTree(1)_q0
moa.HoeffdingTree(1)_rfalse
moa.HoeffdingTree(1)_sInfoGainSplitCriterion
moa.HoeffdingTree(1)_t0.05
moa.HoeffdingTree(1)_zfalse
moa.OzaBoost_HoeffdingTree(1)_lmoa.classifiers.trees.HoeffdingTree
moa.OzaBoost_HoeffdingTree(1)_pfalse
moa.OzaBoost_HoeffdingTree(1)_r1
moa.OzaBoost_HoeffdingTree(1)_s10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

Area under ROC curve
0.8758
Per class
Confusion matrix
F measure
0.8234
Per class
Kappa
0.648
KB relative information score
36894.0468
Mean absolute error
0.3339
Mean prior absolute error
0.5
Number of instances
98528
Per class
Precision
0.8283
Per class
Predictive accuracy
0.824
Prior entropy
1
Recall
0.824
Per class
Relative absolute error
0.6678
Root mean prior squared error
0.5
Root mean squared error
0.3812
Root relative squared error
0.7624