DEVELOPMENT... OpenML
Run
39334

Run 39334

Task 3504 (Supervised Classification) webdata_wXa Uploaded 28-10-2014 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)_I20
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
0.8762
Per class
Build CPU time
1628.2505
Build memory
462009937.9843
F measure
0.8208
Per class
Kappa
0.4904
KB relative information score
17248.1034
Mean absolute error
0.1741
Mean prior absolute error
0.3648
Number of instances
36974
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8196
Per class
Predictive accuracy
0.8294
Prior entropy
0.7951
Recall
0.8294
Per class
Relative absolute error
0.4773
Root mean prior squared error
0.4271
Root mean squared error
0.3866
Root relative squared error
0.9051
SciMark benchmark
928.3063