DEVELOPMENT... OpenML
Run
38368

Run 38368

Task 4592 (Supervised Classification) analcatdata_germangss 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)_I20
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
0.9551
Per class
Build CPU time
0.049
Build memory
864958670.88
F measure
0.9213
Per class
Kappa
0.7729
KB relative information score
2960.6959
Mean absolute error
0.0789
Mean prior absolute error
0.3495
Number of instances
4000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9209
Per class
Predictive accuracy
0.9218
Prior entropy
0.7716
Recall
0.9218
Per class
Relative absolute error
0.2259
Root mean prior squared error
0.4176
Root mean squared error
0.267
Root relative squared error
0.6393
SciMark benchmark
938.4414