DEVELOPMENT... OpenML
Run
35745

Run 35745

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)_I10
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
0.9263
Per class
Build CPU time
0.2523
Build memory
528913609.1889
F measure
0.8741
Per class
Kappa
0.7398
KB relative information score
3728.999
Mean absolute error
0.126
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
0.8742
Per class
Predictive accuracy
0.8745
Prior entropy
0.9782
Recall
0.8745
Per class
Relative absolute error
0.2598
Root mean prior squared error
0.4924
Root mean squared error
0.3422
Root relative squared error
0.6949
SciMark benchmark
941.8931