DEVELOPMENT... OpenML
Run
38167

Run 38167

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)_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
0.897
Per class
Build CPU time
0.0491
Build memory
1014900442.7622
F measure
0.8634
Per class
Kappa
0.7241
KB relative information score
1065.2711
Mean absolute error
0.1387
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
0.8634
Per class
Predictive accuracy
0.8635
Prior entropy
0.9937
Recall
0.8635
Per class
Relative absolute error
0.2798
Root mean prior squared error
0.4978
Root mean squared error
0.3641
Root relative squared error
0.7315
SciMark benchmark
942.4851