DEVELOPMENT... OpenML
Run
44029

Run 44029

Task 4620 (Supervised Classification) kc3 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
0.6258
Per class
Build CPU time
8.4582
Build memory
3008703716.2253
F measure
0.8757
Per class
Kappa
0.1785
KB relative information score
694.7825
Mean absolute error
0.1073
Mean prior absolute error
0.1716
Number of instances
4580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8655
Per class
Predictive accuracy
0.8935
Prior entropy
0.4551
Recall
0.8935
Per class
Relative absolute error
0.6254
Root mean prior squared error
0.2917
Root mean squared error
0.3243
Root relative squared error
1.1119
SciMark benchmark
941.8931