DEVELOPMENT... OpenML
Run
35635

Run 35635

Task 3654 (Supervised Classification) fri_c1_100_10 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
0.8452
Per class
Build CPU time
0.0635
Build memory
356537698.4
F measure
0.7992
Per class
Kappa
0.5966
KB relative information score
59.3325
Mean absolute error
0.2024
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.801
Per class
Predictive accuracy
0.8
Prior entropy
0.9975
Recall
0.8
Per class
Relative absolute error
0.4063
Root mean prior squared error
0.4991
Root mean squared error
0.4304
Root relative squared error
0.8624
SciMark benchmark
942.0655