Run
503526

Run 503526

Task 10050 (Learning Curve) gina_agnostic 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
0.9578 ± 0.0101
Per class
F measure
0.9121 ± 0.0112
Per class
Kappa
0.8241 ± 0.0225
KB relative information score
2857.3859 ± 8.3031
Mean absolute error
0.0882 ± 0.012
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Oracle Corporation, 1.7.0_79, amd64, Linux, 3.13.0-71-generic]
Precision
0.9121 ± 0.0114
Per class
Predictive accuracy
0.9121 ± 0.0112
Prior entropy
0.9998
Recall
0.9121 ± 0.0112
Per class
Relative absolute error
0.1764 ± 0.0241
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.2814 ± 0.0196
Root relative squared error
0.5628 ± 0.0392
SciMark benchmark
1844.2951
UserCPU time millis
101030
UserCPU time millis testing
40
UserCPU time millis training
100990