DEVELOPMENT... OpenML
Run
35691

Run 35691

Task 3917 (Supervised Classification) kc1 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
0.7774
Per class
Build CPU time
1.6378
Build memory
122784770.2418
F measure
0.8081
Per class
Kappa
0.1683
KB relative information score
588.7513
Mean absolute error
0.1537
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8075
Per class
Predictive accuracy
0.8464
Prior entropy
0.622
Recall
0.8464
Per class
Relative absolute error
0.5876
Root mean prior squared error
0.3615
Root mean squared error
0.3747
Root relative squared error
1.0365
SciMark benchmark
945.0342