DEVELOPMENT... OpenML
Run
44038

Run 44038

Task 4623 (Supervised Classification) pc1 Uploaded 29-10-2014 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)_I160
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
0.6941
Per class
Build CPU time
16.5035
Build memory
611766386.3106
F measure
0.926
Per class
Kappa
0.3634
KB relative information score
3251.112
Mean absolute error
0.0651
Mean prior absolute error
0.1299
Number of instances
11090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9227
Per class
Predictive accuracy
0.935
Prior entropy
0.3667
Recall
0.935
Per class
Relative absolute error
0.5011
Root mean prior squared error
0.2542
Root mean squared error
0.2524
Root relative squared error
0.9931
SciMark benchmark
890.4487

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