DEVELOPMENT... OpenML
Run
38027

Run 38027

Task 3779 (Supervised Classification) fri_c3_100_5 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)_I20
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
0.8797
Per class
Build CPU time
0.0484
Build memory
79611371.2
F measure
0.8285
Per class
Kappa
0.6508
KB relative information score
65.2431
Mean absolute error
0.1696
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
0.8313
Per class
Predictive accuracy
0.83
Prior entropy
0.99
Recall
0.83
Per class
Relative absolute error
0.3441
Root mean prior squared error
0.4964
Root mean squared error
0.4045
Root relative squared error
0.815
SciMark benchmark
944.5683

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