Run
504325

Run 504325

Task 10084 (Learning Curve) profb Uploaded 01-01-2016 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_J48(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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.

22 Evaluation measures

Area under ROC curve
0.6568 ± 0.0773
Per class
F measure
0.6697 ± 0.0666
Per class
Kappa
0.2465 ± 0.1414
KB relative information score
102.8677 ± 6.192
Mean absolute error
0.3639 ± 0.0379
Mean prior absolute error
0.4446 ± 0.0026
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6662 ± 0.0666
Per class
Predictive accuracy
0.6756 ± 0.0683
Prior entropy
0.9188
Recall
0.6756 ± 0.0683
Per class
Relative absolute error
0.8184 ± 0.0821
Root mean prior squared error
0.4714 ± 0.0027
Root mean squared error
0.4957 ± 0.0419
Root relative squared error
1.0514 ± 0.0849
SciMark benchmark
940.4723
UserCPU time millis
60
UserCPU time millis training
60