DEVELOPMENT... OpenML
Run
41084

Run 41084

Task 4574 (Supervised Classification) lymph 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
0.884
Per class
Build CPU time
0.1853
Build memory
1123173715.2703
F measure
0.8667
Per class
Kappa
0.7306
KB relative information score
1083.9019
Mean absolute error
0.132
Mean prior absolute error
0.4956
Number of instances
1480
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8669
Per class
Predictive accuracy
0.8669
Prior entropy
0.9937
Recall
0.8669
Per class
Relative absolute error
0.2663
Root mean prior squared error
0.4978
Root mean squared error
0.3591
Root relative squared error
0.7214
SciMark benchmark
944.5683