DEVELOPMENT... OpenML
Run
38596

Run 38596

Task 3592 (Supervised Classification) fri_c2_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)_I40
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
0.87
Per class
Build CPU time
0.1265
Build memory
528307386.4
F measure
0.8594
Per class
Kappa
0.7059
KB relative information score
69.8383
Mean absolute error
0.1425
Mean prior absolute error
0.4804
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
0.8594
Per class
Predictive accuracy
0.86
Prior entropy
0.9721
Recall
0.86
Per class
Relative absolute error
0.2966
Root mean prior squared error
0.4899
Root mean squared error
0.3705
Root relative squared error
0.7563
SciMark benchmark
944.2618