DEVELOPMENT... OpenML
Run
36440

Run 36440

Task 4574 (Supervised Classification) lymph 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)_I10
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
0.9078
Per class
Build CPU time
0.0462
Build memory
645661868.4162
F measure
0.8572
Per class
Kappa
0.7114
KB relative information score
1045.6315
Mean absolute error
0.145
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
0.8574
Per class
Predictive accuracy
0.8574
Prior entropy
0.9937
Recall
0.8574
Per class
Relative absolute error
0.2925
Root mean prior squared error
0.4978
Root mean squared error
0.369
Root relative squared error
0.7413
SciMark benchmark
920.6195

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