DEVELOPMENT... OpenML
Run
36704

Run 36704

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)_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
0.9867
Per class
Build CPU time
3.4582
Build memory
1001343056.88
F measure
0.9935
Per class
Kappa
0.964
KB relative information score
19010.8785
Mean absolute error
0.0064
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
0.0353
Root mean prior squared error
0.3
Root mean squared error
0.0777
Root relative squared error
0.259
SciMark benchmark
897.921