DEVELOPMENT... OpenML
Run
39431

Run 39431

Task 4248 (Supervised Classification) irish 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)_I40
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
1
Per class
Build CPU time
0.0097
Build memory
1258296849.52
F measure
0.9976
Per class
Kappa
0.9951
KB relative information score
4885.168
Mean absolute error
0.0142
Mean prior absolute error
0.4938
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9976
Per class
Predictive accuracy
0.9976
Prior entropy
0.991
Recall
0.9976
Per class
Relative absolute error
0.0287
Root mean prior squared error
0.4969
Root mean squared error
0.0468
Root relative squared error
0.0943
SciMark benchmark
940.0668