DEVELOPMENT... OpenML
Run
111022

Run 111022

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

weka.AdaBoostM1_J48(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_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9948
Per class
Build CPU time
10.7038
Build memory
919139960.1522
F measure
0.9929
Per class
Kappa
0.9896
KB relative information score
830.4333
Mean absolute error
0.0036
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
0.9929
Per class
Predictive accuracy
0.9929
Prior entropy
1.7898
Recall
0.9929
Per class
Relative absolute error
0.0104
Root mean prior squared error
0.4146
Root mean squared error
0.0597
Root relative squared error
0.1441
SciMark benchmark
890.3066