DEVELOPMENT... OpenML
Run
35700

Run 35700

Task 3665 (Supervised Classification) pyrim 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
0.9565
Per class
Build CPU time
0.0216
Build memory
57121828.2162
F measure
0.9052
Per class
Kappa
0.8048
KB relative information score
56.4744
Mean absolute error
0.12
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9053
Per class
Predictive accuracy
0.9054
Prior entropy
0.9819
Recall
0.9054
Per class
Relative absolute error
0.2463
Root mean prior squared error
0.4934
Root mean squared error
0.2755
Root relative squared error
0.5584
SciMark benchmark
944.2618