DEVELOPMENT... OpenML
Run
36411

Run 36411

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)_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
0.8566
Per class
Build CPU time
0.0526
Build memory
1202445940.682
F measure
0.8487
Per class
Kappa
0.5873
KB relative information score
1889.655
Mean absolute error
0.147
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
0.8473
Per class
Predictive accuracy
0.8516
Prior entropy
0.8101
Recall
0.8516
Per class
Relative absolute error
0.3936
Root mean prior squared error
0.4317
Root mean squared error
0.3698
Root relative squared error
0.8566
SciMark benchmark
909.9339