DEVELOPMENT... OpenML
Run
40211

Run 40211

Task 4601 (Supervised Classification) ada_agnostic 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
0.8939
Per class
Build CPU time
44.6729
Build memory
1408862743.8713
F measure
0.8423
Per class
Kappa
0.565
KB relative information score
24585.0103
Mean absolute error
0.1544
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8415
Per class
Predictive accuracy
0.8479
Prior entropy
0.8085
Recall
0.8479
Per class
Relative absolute error
0.4136
Root mean prior squared error
0.4319
Root mean squared error
0.3739
Root relative squared error
0.8657
SciMark benchmark
942.4851