DEVELOPMENT... OpenML
Run
35670

Run 35670

Task 3915 (Supervised Classification) kc3 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)_I10
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
0.7388
Per class
Build CPU time
0.5306
Build memory
97723550.7424
F measure
0.8922
Per class
Kappa
0.3155
KB relative information score
98.935
Mean absolute error
0.0998
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8865
Per class
Predictive accuracy
0.9017
Prior entropy
0.4551
Recall
0.9017
Per class
Relative absolute error
0.5815
Root mean prior squared error
0.2917
Root mean squared error
0.3028
Root relative squared error
1.0383
SciMark benchmark
944.2618