DEVELOPMENT... OpenML
Run
40206

Run 40206

Task 4622 (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)_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
0.7971
Per class
Build CPU time
12.6871
Build memory
1017867506.6416
F measure
0.8294
Per class
Kappa
0.27
KB relative information score
6766.5752
Mean absolute error
0.1446
Mean prior absolute error
0.2616
Number of instances
21090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.832
Per class
Predictive accuracy
0.8578
Prior entropy
0.622
Recall
0.8578
Per class
Relative absolute error
0.5527
Root mean prior squared error
0.3615
Root mean squared error
0.3608
Root relative squared error
0.9981
SciMark benchmark
944.0892