Run
504328

Run 504328

Task 10087 (Learning Curve) sylva_prior 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
0.9925 ± 0.0058
Per class
F measure
0.994 ± 0.0019
Per class
Kappa
0.948 ± 0.0165
KB relative information score
13321.2149 ± 37.3893
Mean absolute error
0.006 ± 0.0019
Mean prior absolute error
0.1156 ± 0.0003
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.994 ± 0.0019
Per class
Predictive accuracy
0.994 ± 0.0019
Prior entropy
0.3338
Recall
0.994 ± 0.0019
Per class
Relative absolute error
0.0523 ± 0.0166
Root mean prior squared error
0.2403 ± 0.0006
Root mean squared error
0.0763 ± 0.014
Root relative squared error
0.3175 ± 0.0585
SciMark benchmark
941.1629
UserCPU time millis
45090
UserCPU time millis testing
60
UserCPU time millis training
45030