DEVELOPMENT... OpenML
Run
39495

Run 39495

Task 4261 (Supervised Classification) analcatdata_cyyoung8092 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
0.7491
Per class
Build CPU time
0.1221
Build memory
445946628.7093
F measure
0.8163
Per class
Kappa
0.4926
KB relative information score
451.1321
Mean absolute error
0.1781
Mean prior absolute error
0.375
Number of instances
970
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8142
Per class
Predictive accuracy
0.8227
Prior entropy
0.8153
Recall
0.8227
Per class
Relative absolute error
0.4749
Root mean prior squared error
0.4315
Root mean squared error
0.4203
Root relative squared error
0.9739
SciMark benchmark
944.0892