DEVELOPMENT... OpenML
Run
2017

Run 2017

Task 188 (Supervised Data Stream Classification) CovPokElec Uploaded 24-04-2014 by Jason
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Flow

moa.RandomRules_AMRules(1)Moa implementation of RandomRules
moa.AMRules(1)_Afalse
moa.AMRules(1)_Hfalse
moa.AMRules(1)_Ofalse
moa.AMRules(1)_PAdaptative
moa.AMRules(1)_a0.5
moa.AMRules(1)_c1.0E-7
moa.AMRules(1)_dfalse
moa.AMRules(1)_g200
moa.AMRules(1)_l50
moa.AMRules(1)_m0.99
moa.AMRules(1)_n30
moa.AMRules(1)_s0.01
moa.AMRules(1)_t0.05
moa.AMRules(1)_u0.1
moa.AMRules(1)_v1
moa.RandomRules_AMRules(1)_lmoa.classifiers.rules.AMRules
moa.RandomRules_AMRules(1)_n63.2
moa.RandomRules_AMRules(1)_pfalse
moa.RandomRules_AMRules(1)_r1
moa.RandomRules_AMRules(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.

20 Evaluation measures

Area under ROC curve
0.5
Per class
Confusion matrix
F measure
0.2739
Per class
KB relative information score
610457.7837
Mean absolute error
0.111
Mean prior absolute error
0.18
Number of instances
1455525
Per class
Precision
0.1979
Per class
Predictive accuracy
0.4448
Prior entropy
3.3219
Ram hours
0.0312
Recall
0.4448
Per class
Relative absolute error
0.6169
Root mean prior squared error
0.3
Root mean squared error
0.3332
Root relative squared error
1.1107
Run CPU time
1688.45