DEVELOPMENT... OpenML
Run
128888

Run 128888

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9845
Per class
Build CPU time
0.2158
Build memory
1554148947.9572
F measure
0.8795
Per class
Kappa
0.8266
KB relative information score
581.8529
Mean absolute error
0.1376
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
0.8835
Per class
Predictive accuracy
0.8823
Prior entropy
1.7898
Recall
0.8823
Per class
Relative absolute error
0.4001
Root mean prior squared error
0.4146
Root mean squared error
0.2185
Root relative squared error
0.5271
SciMark benchmark
909.5718