DEVELOPMENT... OpenML
Run
44636

Run 44636

Task 4505 (Supervised Classification) fri_c3_500_50 Uploaded 30-10-2014 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
0.8973
Per class
Build CPU time
19.5006
Build memory
1428594249.84
F measure
0.879
Per class
Kappa
0.7532
KB relative information score
3771.716
Mean absolute error
0.1199
Mean prior absolute error
0.4918
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8801
Per class
Predictive accuracy
0.8796
Prior entropy
0.9882
Recall
0.8796
Per class
Relative absolute error
0.2437
Root mean prior squared error
0.4959
Root mean squared error
0.3433
Root relative squared error
0.6923
SciMark benchmark
944.7154