DEVELOPMENT... OpenML
Run
37666

Run 37666

Task 4479 (Supervised Classification) fri_c2_250_5 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)_I20
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
0.9251
Per class
Build CPU time
0.1177
Build memory
911665109.28
F measure
0.883
Per class
Kappa
0.7622
KB relative information score
1904.2803
Mean absolute error
0.1166
Mean prior absolute error
0.4929
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8831
Per class
Predictive accuracy
0.8832
Prior entropy
0.9898
Recall
0.8832
Per class
Relative absolute error
0.2366
Root mean prior squared error
0.4964
Root mean squared error
0.3338
Root relative squared error
0.6725
SciMark benchmark
931.9798