DEVELOPMENT... OpenML
Run
40467

Run 40467

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)_I80
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
0.7697
Per class
Build CPU time
3.1808
Build memory
1082358426.2222
F measure
0.8247
Per class
Kappa
0.4358
KB relative information score
214.9878
Mean absolute error
0.1638
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
0.8218
Per class
Predictive accuracy
0.8352
Prior entropy
0.734
Recall
0.8352
Per class
Relative absolute error
0.5017
Root mean prior squared error
0.4037
Root mean squared error
0.3945
Root relative squared error
0.9771
SciMark benchmark
938.2803