DEVELOPMENT... OpenML
Run
40535

Run 40535

Task 4441 (Supervised Classification) boston 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)_I80
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
0.9052
Per class
Build CPU time
2.1347
Build memory
985830163.1257
F measure
0.8805
Per class
Kappa
0.7529
KB relative information score
3800.245
Mean absolute error
0.1191
Mean prior absolute error
0.4849
Number of instances
5060
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8805
Per class
Predictive accuracy
0.8808
Prior entropy
0.9782
Recall
0.8808
Per class
Relative absolute error
0.2455
Root mean prior squared error
0.4924
Root mean squared error
0.3404
Root relative squared error
0.6913
SciMark benchmark
941.9633