Run
503504

Run 503504

Task 7535 (Learning Curve) monks-problems-2 Uploaded 28-12-2015 by Jan van Rijn
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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
0.8002 ± 0.0699
Per class
F measure
0.7609 ± 0.0747
Per class
Kappa
0.4707 ± 0.1708
KB relative information score
240.5099 ± 8.5809
Mean absolute error
0.2663 ± 0.0587
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7616 ± 0.0773
Per class
Predictive accuracy
0.7604 ± 0.0727
Prior entropy
0.9279
Recall
0.7604 ± 0.0727
Per class
Relative absolute error
0.5909 ± 0.1303
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4303 ± 0.0664
Root relative squared error
0.9066 ± 0.14
SciMark benchmark
1678.2337
UserCPU time millis
10
UserCPU time millis training
10