Run
504322

Run 504322

Task 10081 (Learning Curve) pc2 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
0.6867 ± 0.1729
Per class
F measure
0.9935 ± 0.0019
Per class
Kappa
-0.0012 ± 0.0016
KB relative information score
-4467.4894 ± 276.8442
Mean absolute error
0.0053 ± 0.0019
Mean prior absolute error
0.0084 ± 0.0009
Number of instances
5589
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9918 ± 0.0021
Per class
Predictive accuracy
0.9952 ± 0.0019
Prior entropy
0.0399
Recall
0.9952 ± 0.0019
Per class
Relative absolute error
0.6298 ± 0.1611
Root mean prior squared error
0.064 ± 0.0064
Root mean squared error
0.0691 ± 0.0122
Root relative squared error
1.0791 ± 0.094
SciMark benchmark
940.4723
UserCPU time millis
2520
UserCPU time millis testing
10
UserCPU time millis training
2510