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Run
121867

Run 121867

Task 2065 (Supervised Classification) primary-tumor Uploaded 12-12-2014 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)_I160
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
0.763
Per class
Build CPU time
49.132
Build memory
498431049.8879
F measure
0.3752
Per class
Kappa
0.3015
KB relative information score
76.2318
Mean absolute error
0.072
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
0.3723
Per class
Predictive accuracy
0.3805
Prior entropy
3.7542
Recall
0.3805
Per class
Relative absolute error
0.8862
Root mean prior squared error
0.2011
Root mean squared error
0.1888
Root relative squared error
0.9389
SciMark benchmark
888.7575