DEVELOPMENT... OpenML
Run
38697

Run 38697

Task 4623 (Supervised Classification) pc1 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
0.7478
Per class
Build CPU time
3.5337
Build memory
68673782.2218
F measure
0.9224
Per class
Kappa
0.3158
KB relative information score
3168.0357
Mean absolute error
0.0656
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
0.9197
Per class
Predictive accuracy
0.9345
Prior entropy
0.3667
Recall
0.9345
Per class
Relative absolute error
0.5052
Root mean prior squared error
0.2542
Root mean squared error
0.2501
Root relative squared error
0.9841
SciMark benchmark
939.6491