DEVELOPMENT... OpenML
Run
41034

Run 41034

Task 4547 (Supervised Classification) waveform-5000 Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
0.9477
Per class
Build CPU time
88.8532
Build memory
1070290296.88
F measure
0.885
Per class
Kappa
0.7423
KB relative information score
36552.855
Mean absolute error
0.1152
Mean prior absolute error
0.4478
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8847
Per class
Predictive accuracy
0.8854
Prior entropy
0.9233
Recall
0.8854
Per class
Relative absolute error
0.2573
Root mean prior squared error
0.4732
Root mean squared error
0.3218
Root relative squared error
0.6801
SciMark benchmark
941.2105