DEVELOPMENT... OpenML
Run
116661

Run 116661

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9949
Per class
Build CPU time
134.4381
Build memory
1100033640.0856
F measure
0.9905
Per class
Kappa
0.9862
KB relative information score
828.0686
Mean absolute error
0.0048
Mean prior absolute error
0.3439
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
0.9905
Per class
Predictive accuracy
0.9905
Prior entropy
1.7898
Recall
0.9905
Per class
Relative absolute error
0.0138
Root mean prior squared error
0.4146
Root mean squared error
0.069
Root relative squared error
0.1663
SciMark benchmark
937.5625