DEVELOPMENT... OpenML
Run
40590

Run 40590

Task 3689 (Supervised Classification) fri_c1_500_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)_I80
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
0.9386
Per class
Build CPU time
2.2675
Build memory
906246489.6
F measure
0.92
Per class
Kappa
0.8384
KB relative information score
416.9818
Mean absolute error
0.0822
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.92
Per class
Predictive accuracy
0.92
Prior entropy
0.9934
Recall
0.92
Per class
Relative absolute error
0.166
Root mean prior squared error
0.4977
Root mean squared error
0.2827
Root relative squared error
0.5681
SciMark benchmark
938.2803