DEVELOPMENT... OpenML
Run
118535

Run 118535

Task 2065 (Supervised Classification) primary-tumor Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7665
Per class
Build CPU time
0.3322
Build memory
1248571806.6077
F measure
0.371
Per class
Kappa
0.3065
KB relative information score
87.7307
Mean absolute error
0.0675
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3651
Per class
Predictive accuracy
0.3894
Prior entropy
3.7542
Recall
0.3894
Per class
Relative absolute error
0.8307
Root mean prior squared error
0.2011
Root mean squared error
0.1909
Root relative squared error
0.9493
SciMark benchmark
916.8516