DEVELOPMENT... OpenML
Run
119638

Run 119638

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

weka.AdaBoostM1_LMT(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_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7616
Per class
Build CPU time
39.5176
Build memory
822713032.1888
F measure
0.3721
Per class
Kappa
0.2978
KB relative information score
74.5845
Mean absolute error
0.0725
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
0.3691
Per class
Predictive accuracy
0.3776
Prior entropy
3.7542
Recall
0.3776
Per class
Relative absolute error
0.893
Root mean prior squared error
0.2011
Root mean squared error
0.1889
Root relative squared error
0.9392
SciMark benchmark
927.3354