DEVELOPMENT... OpenML
Run
39812

Run 39812

Task 4563 (Supervised Classification) mfeat-zernike 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)_I40
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
0.9765
Per class
Build CPU time
19.5909
Build memory
793346839.44
F measure
0.9924
Per class
Kappa
0.9577
KB relative information score
18845.7108
Mean absolute error
0.0075
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
0.9924
Per class
Predictive accuracy
0.9925
Prior entropy
0.4703
Recall
0.9925
Per class
Relative absolute error
0.0415
Root mean prior squared error
0.3
Root mean squared error
0.0862
Root relative squared error
0.2873
SciMark benchmark
941.4198