DEVELOPMENT... OpenML
Run
41060

Run 41060

Task 4563 (Supervised Classification) mfeat-zernike 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)_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
0.9776
Per class
Build CPU time
34.671
Build memory
1100958725.76
F measure
0.9935
Per class
Kappa
0.9637
KB relative information score
18992.6609
Mean absolute error
0.0065
Mean prior absolute error
0.1803
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9935
Per class
Predictive accuracy
0.9936
Prior entropy
0.4703
Recall
0.9936
Per class
Relative absolute error
0.0359
Root mean prior squared error
0.3
Root mean squared error
0.0803
Root relative squared error
0.2678
SciMark benchmark
941.8931