DEVELOPMENT... OpenML
Run
134886

Run 134886

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9312
Per class
Build CPU time
0.0066
Build memory
1968793445.6504
F measure
0.9037
Per class
Kappa
0.8599
KB relative information score
728.0139
Mean absolute error
0.0482
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
0.9039
Per class
Predictive accuracy
0.9037
Prior entropy
1.7898
Recall
0.9037
Per class
Relative absolute error
0.14
Root mean prior squared error
0.4146
Root mean squared error
0.2194
Root relative squared error
0.5293
SciMark benchmark
939.084