DEVELOPMENT... OpenML
Run
35656

Run 35656

Task 3913 (Supervised Classification) kc2 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)_I10
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
0.7822
Per class
Build CPU time
0.3461
Build memory
144924848.6437
F measure
0.8156
Per class
Kappa
0.405
KB relative information score
200.173
Mean absolute error
0.1714
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8122
Per class
Predictive accuracy
0.8276
Prior entropy
0.734
Recall
0.8276
Per class
Relative absolute error
0.5249
Root mean prior squared error
0.4037
Root mean squared error
0.3988
Root relative squared error
0.9879
SciMark benchmark
944.2618