DEVELOPMENT... OpenML
Run
44467

Run 44467

Task 4463 (Supervised Classification) chscase_geyser1 Uploaded 29-10-2014 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)_I160
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
0.8666
Per class
Build CPU time
0.3161
Build memory
665435504.9946
F measure
0.8367
Per class
Kappa
0.6574
KB relative information score
1453.5229
Mean absolute error
0.162
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
0.8366
Per class
Predictive accuracy
0.8374
Prior entropy
0.9694
Recall
0.8374
Per class
Relative absolute error
0.3385
Root mean prior squared error
0.4891
Root mean squared error
0.3957
Root relative squared error
0.8089
SciMark benchmark
946.2416

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