DEVELOPMENT... OpenML
Run
39169

Run 39169

Task 1883 (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)_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
0.9988
Per class
Build CPU time
3.0648
Build memory
176661472.6496
F measure
0.9916
Per class
Kappa
0.9831
KB relative information score
31379.5884
Mean absolute error
0.0092
Mean prior absolute error
0.499
Number of instances
31960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9916
Per class
Predictive accuracy
0.9916
Prior entropy
0.9986
Recall
0.9916
Per class
Relative absolute error
0.0184
Root mean prior squared error
0.4995
Root mean squared error
0.0862
Root relative squared error
0.1726
SciMark benchmark
945.6653