DEVELOPMENT... OpenML
Run
39036

Run 39036

Task 3899 (Supervised Classification) mozilla4 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)_I40
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
0.9682
Per class
Build CPU time
23.5909
Build memory
1668429810.9206
F measure
0.9413
Per class
Kappa
0.8646
KB relative information score
13416.9059
Mean absolute error
0.0574
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
0.9465
Per class
Predictive accuracy
0.9427
Prior entropy
0.9135
Recall
0.9427
Per class
Relative absolute error
0.1301
Root mean prior squared error
0.4697
Root mean squared error
0.2367
Root relative squared error
0.5039
SciMark benchmark
945.6653