DEVELOPMENT... OpenML
Run
121059

Run 121059

Task 3833 (Supervised Classification) analcatdata_authorship Uploaded 11-12-2014 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)_I40
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
0.994
Per class
Build CPU time
45.795
Build memory
174915923.5577
F measure
0.9929
Per class
Kappa
0.9848
KB relative information score
827.6996
Mean absolute error
0.0071
Mean prior absolute error
0.4698
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9929
Per class
Predictive accuracy
0.9929
Prior entropy
0.9561
Recall
0.9929
Per class
Relative absolute error
0.0152
Root mean prior squared error
0.4846
Root mean squared error
0.0845
Root relative squared error
0.1743
SciMark benchmark
936.1433