DEVELOPMENT... OpenML
Run
119900

Run 119900

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9707
Per class
Build CPU time
0.3585
Build memory
1641537102.4242
F measure
0.9622
Per class
Kappa
0.917
KB relative information score
119.7676
Mean absolute error
0.0402
Mean prior absolute error
0.4548
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9624
Per class
Predictive accuracy
0.9621
Prior entropy
0.9347
Recall
0.9621
Per class
Relative absolute error
0.0884
Root mean prior squared error
0.4765
Root mean squared error
0.1959
Root relative squared error
0.4111
SciMark benchmark
906.6607