DEVELOPMENT... OpenML
Run
44699

Run 44699

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 30-10-2014 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
0.7939
Per class
Build CPU time
0.3413
Build memory
388068633.4624
F measure
0.7962
Per class
Kappa
0.5716
KB relative information score
52.0272
Mean absolute error
0.2043
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7969
Per class
Predictive accuracy
0.7957
Prior entropy
0.9645
Recall
0.7957
Per class
Relative absolute error
0.4301
Root mean prior squared error
0.4871
Root mean squared error
0.452
Root relative squared error
0.9279
SciMark benchmark
945.8914