DEVELOPMENT... OpenML
Run
44839

Run 44839

Task 4303 (Supervised Classification) fri_c0_250_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
0.8327
Per class
Build CPU time
11.3035
Build memory
2525653177.68
F measure
0.8183
Per class
Kappa
0.6351
KB relative information score
1585.6771
Mean absolute error
0.1818
Mean prior absolute error
0.498
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
0.8183
Per class
Predictive accuracy
0.8184
Prior entropy
0.9971
Recall
0.8184
Per class
Relative absolute error
0.3651
Root mean prior squared error
0.499
Root mean squared error
0.4244
Root relative squared error
0.8505
SciMark benchmark
941.2906