DEVELOPMENT... OpenML
Run
40431

Run 40431

Task 3648 (Supervised Classification) fri_c3_100_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)_I80
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
0.8194
Per class
Build CPU time
0.3814
Build memory
738292259.2
F measure
0.7885
Per class
Kappa
0.557
KB relative information score
56.005
Mean absolute error
0.2082
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
0.7884
Per class
Predictive accuracy
0.79
Prior entropy
0.9721
Recall
0.79
Per class
Relative absolute error
0.4335
Root mean prior squared error
0.4899
Root mean squared error
0.4381
Root relative squared error
0.8942
SciMark benchmark
945.8425