Run
121783

Run 121783

Task 245 (Supervised Classification) breast-w Uploaded 12-12-2014 by Joaquin Vanschoren
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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
0.9601
Per class
Cross-validation details (33% Holdout set)
Build CPU time
39.265
Cross-validation details (33% Holdout set)
Build memory
1755439992
Cross-validation details (33% Holdout set)
F measure
0.9567
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9104
Cross-validation details (33% Holdout set)
KB relative information score
219.4398
Cross-validation details (33% Holdout set)
Mean absolute error
0.0435
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.469
Cross-validation details (33% Holdout set)
Number of instances
230
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9583
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9565
Cross-validation details (33% Holdout set)
Prior entropy
0.9297
Cross-validation details (33% Holdout set)
Recall
0.9565
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0927
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.493
Cross-validation details (33% Holdout set)
Root mean squared error
0.2085
Cross-validation details (33% Holdout set)
Root relative squared error
0.423
Cross-validation details (33% Holdout set)
SciMark benchmark
936.1433