DEVELOPMENT... OpenML
Run
36564

Run 36564

Task 233 (Supervised Classification) kr-vs-kp 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
0.9966
Per class
Build CPU time
1.411
Build memory
1645992064
F measure
0.9753
Per class
Kappa
0.9505
KB relative information score
1001.2439
Mean absolute error
0.0241
Mean prior absolute error
0.4984
Number of instances
1054
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9755
Per class
Predictive accuracy
0.9753
Prior entropy
0.9986
Recall
0.9753
Per class
Relative absolute error
0.0483
Root mean prior squared error
0.4989
Root mean squared error
0.1396
Root relative squared error
0.2799
SciMark benchmark
909.9339

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