DEVELOPMENT... OpenML
Run
38617

Run 38617

Task 4608 (Supervised Classification) pc3 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
0.7922
Per class
Build CPU time
8.2884
Build memory
410498966.5449
F measure
0.8631
Per class
Kappa
0.1334
KB relative information score
3199.3433
Mean absolute error
0.1094
Mean prior absolute error
0.1842
Number of instances
15630
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8536
Per class
Predictive accuracy
0.8914
Prior entropy
0.478
Recall
0.8914
Per class
Relative absolute error
0.5942
Root mean prior squared error
0.3031
Root mean squared error
0.3173
Root relative squared error
1.0468
SciMark benchmark
943.8925