DEVELOPMENT... OpenML
Run
39256

Run 39256

Task 4463 (Supervised Classification) chscase_geyser1 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
0.8806
Per class
Build CPU time
0.1058
Build memory
724264572.7748
F measure
0.8562
Per class
Kappa
0.6975
KB relative information score
1542.3384
Mean absolute error
0.1436
Mean prior absolute error
0.4787
Number of instances
2220
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8575
Per class
Predictive accuracy
0.8577
Prior entropy
0.9694
Recall
0.8577
Per class
Relative absolute error
0.3
Root mean prior squared error
0.4891
Root mean squared error
0.3672
Root relative squared error
0.7506
SciMark benchmark
944.7154