DEVELOPMENT... OpenML
Run
44283

Run 44283

Task 3899 (Supervised Classification) mozilla4 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)_I160
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
0.9726
Per class
Build CPU time
89.3806
Build memory
1665384957.6111
F measure
0.9423
Per class
Kappa
0.867
KB relative information score
13461.0047
Mean absolute error
0.0562
Mean prior absolute error
0.4412
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9473
Per class
Predictive accuracy
0.9437
Prior entropy
0.9135
Recall
0.9437
Per class
Relative absolute error
0.1274
Root mean prior squared error
0.4697
Root mean squared error
0.2332
Root relative squared error
0.4964
SciMark benchmark
936.9135