DEVELOPMENT... OpenML
Run
36389

Run 36389

Task 3799 (Supervised Classification) fri_c3_500_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
0.9467
Per class
Build CPU time
0.2487
Build memory
60840408.8
F measure
0.8898
Per class
Kappa
0.7777
KB relative information score
384.9298
Mean absolute error
0.1142
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.89
Per class
Predictive accuracy
0.89
Prior entropy
0.9945
Recall
0.89
Per class
Relative absolute error
0.2302
Root mean prior squared error
0.4981
Root mean squared error
0.3216
Root relative squared error
0.6457
SciMark benchmark
945.0342