DEVELOPMENT... OpenML
Run
36894

Run 36894

Task 3594 (Supervised Classification) analcatdata_supreme 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)_I20
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
0.9964
Per class
Build CPU time
2.1679
Build memory
562083915.1076
F measure
0.9921
Per class
Kappa
0.9782
KB relative information score
3953.7006
Mean absolute error
0.0078
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9921
Per class
Predictive accuracy
0.9921
Prior entropy
0.7946
Recall
0.9921
Per class
Relative absolute error
0.0214
Root mean prior squared error
0.4269
Root mean squared error
0.0839
Root relative squared error
0.1965
SciMark benchmark
944.0386