DEVELOPMENT... OpenML
Run
38146

Run 38146

Task 4571 (Supervised Classification) primary-tumor 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
0.8593
Per class
Build CPU time
0.0959
Build memory
704673262.9239
F measure
0.8562
Per class
Kappa
0.6083
KB relative information score
1935.9301
Mean absolute error
0.1427
Mean prior absolute error
0.3735
Number of instances
3390
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.855
Per class
Predictive accuracy
0.8587
Prior entropy
0.8101
Recall
0.8587
Per class
Relative absolute error
0.3821
Root mean prior squared error
0.4317
Root mean squared error
0.365
Root relative squared error
0.8454
SciMark benchmark
943.1654