DEVELOPMENT... OpenML
Run
44788

Run 44788

Task 3779 (Supervised Classification) fri_c3_100_5 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
0.8275
Per class
Build CPU time
0.4841
Build memory
173795299.2
F measure
0.8389
Per class
Kappa
0.6721
KB relative information score
67.2626
Mean absolute error
0.1603
Mean prior absolute error
0.4929
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
0.8407
Per class
Predictive accuracy
0.84
Prior entropy
0.99
Recall
0.84
Per class
Relative absolute error
0.3252
Root mean prior squared error
0.4964
Root mean squared error
0.4
Root relative squared error
0.8058
SciMark benchmark
897.921