DEVELOPMENT... OpenML
Run
41124

Run 41124

Task 3557 (Supervised Classification) schizo Uploaded 29-10-2014 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
0.9204
Per class
Build CPU time
1.4233
Build memory
1305005913.6
F measure
0.864
Per class
Kappa
0.7278
KB relative information score
247.3159
Mean absolute error
0.1358
Mean prior absolute error
0.4992
Number of instances
340
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8683
Per class
Predictive accuracy
0.8647
Prior entropy
0.9988
Recall
0.8647
Per class
Relative absolute error
0.272
Root mean prior squared error
0.4996
Root mean squared error
0.3566
Root relative squared error
0.7139
SciMark benchmark
944.5683