DEVELOPMENT... OpenML
Run
43970

Run 43970

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 29-10-2014 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
0.8638
Per class
Build CPU time
0.3394
Build memory
2192643140
F measure
0.8691
Per class
Kappa
0.7257
KB relative information score
72.3806
Mean absolute error
0.13
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8698
Per class
Predictive accuracy
0.87
Prior entropy
0.9721
Recall
0.87
Per class
Relative absolute error
0.2706
Root mean prior squared error
0.4899
Root mean squared error
0.3606
Root relative squared error
0.736
SciMark benchmark
946.2416