DEVELOPMENT... OpenML
Run
35542

Run 35542

Task 4400 (Supervised Classification) fri_c2_250_10 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
0.9206
Per class
Build CPU time
0.1212
Build memory
52368414.56
F measure
0.8875
Per class
Kappa
0.755
KB relative information score
1878.3143
Mean absolute error
0.1112
Mean prior absolute error
0.4633
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
0.8885
Per class
Predictive accuracy
0.8888
Prior entropy
0.9468
Recall
0.8888
Per class
Relative absolute error
0.2401
Root mean prior squared error
0.4812
Root mean squared error
0.3244
Root relative squared error
0.6741
SciMark benchmark
920.6195