DEVELOPMENT... OpenML
Run
38227

Run 38227

Task 3557 (Supervised Classification) schizo 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)_I20
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
0.8982
Per class
Build CPU time
0.4442
Build memory
1236193695.2
F measure
0.8338
Per class
Kappa
0.6679
KB relative information score
221.5235
Mean absolute error
0.1753
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
0.8424
Per class
Predictive accuracy
0.8353
Prior entropy
0.9988
Recall
0.8353
Per class
Relative absolute error
0.3511
Root mean prior squared error
0.4996
Root mean squared error
0.3922
Root relative squared error
0.7852
SciMark benchmark
938.4414