DEVELOPMENT... OpenML
Run
36150

Run 36150

Task 3494 (Supervised Classification) monks-problems-3 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
0.9881
Per class
Build CPU time
0.0371
Build memory
1443945638.5704
F measure
0.9892
Per class
Kappa
0.9783
KB relative information score
541.886
Mean absolute error
0.0109
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893
Per class
Predictive accuracy
0.9892
Prior entropy
0.9989
Recall
0.9892
Per class
Relative absolute error
0.0219
Root mean prior squared error
0.4996
Root mean squared error
0.1041
Root relative squared error
0.2083
SciMark benchmark
943.404