DEVELOPMENT... OpenML
Run
39070

Run 39070

Task 3913 (Supervised Classification) kc2 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
0.771
Per class
Build CPU time
1.4176
Build memory
659814139.8008
F measure
0.8169
Per class
Kappa
0.4042
KB relative information score
214.2923
Mean absolute error
0.1646
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8152
Per class
Predictive accuracy
0.8314
Prior entropy
0.734
Recall
0.8314
Per class
Relative absolute error
0.504
Root mean prior squared error
0.4037
Root mean squared error
0.3938
Root relative squared error
0.9754
SciMark benchmark
943.8925