DEVELOPMENT... OpenML
Run
39954

Run 39954

Task 4590 (Supervised Classification) mfeat-pixel 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
0.9867
Per class
Build CPU time
14.2681
Build memory
847211939.44
F measure
0.9952
Per class
Kappa
0.9735
KB relative information score
19232.8936
Mean absolute error
0.0048
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
0.9952
Per class
Predictive accuracy
0.9953
Prior entropy
0.4703
Recall
0.9953
Per class
Relative absolute error
0.0267
Root mean prior squared error
0.3
Root mean squared error
0.0683
Root relative squared error
0.2278
SciMark benchmark
945.8425