DEVELOPMENT... OpenML
Run
43977

Run 43977

Task 4608 (Supervised Classification) pc3 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
0.7349
Per class
Build CPU time
32.1375
Build memory
262504398.812
F measure
0.8738
Per class
Kappa
0.2206
KB relative information score
3588.3237
Mean absolute error
0.106
Mean prior absolute error
0.1842
Number of instances
15630
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8668
Per class
Predictive accuracy
0.8942
Prior entropy
0.478
Recall
0.8942
Per class
Relative absolute error
0.5754
Root mean prior squared error
0.3031
Root mean squared error
0.3167
Root relative squared error
1.0447
SciMark benchmark
934.1739