DEVELOPMENT... OpenML
Run
39736

Run 39736

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)_I40
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
0.8568
Per class
Build CPU time
0.1394
Build memory
861019000.3115
F measure
0.8588
Per class
Kappa
0.6152
KB relative information score
1972.8148
Mean absolute error
0.139
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
0.8576
Per class
Predictive accuracy
0.8614
Prior entropy
0.8101
Recall
0.8614
Per class
Relative absolute error
0.3721
Root mean prior squared error
0.4317
Root mean squared error
0.3618
Root relative squared error
0.838
SciMark benchmark
938.0657