DEVELOPMENT... OpenML
Run
39826

Run 39826

Task 4324 (Supervised Classification) wisconsin 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
0.5408
Per class
Build CPU time
1.0135
Build memory
932901902.2515
F measure
0.5283
Per class
Kappa
0.0508
KB relative information score
98.6416
Mean absolute error
0.4712
Mean prior absolute error
0.4974
Number of instances
1940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5279
Per class
Predictive accuracy
0.5289
Prior entropy
0.9963
Recall
0.5289
Per class
Relative absolute error
0.9472
Root mean prior squared error
0.4987
Root mean squared error
0.6733
Root relative squared error
1.3501
SciMark benchmark
938.0657