Run
57213

Run 57213

Task 1721 (Learning Curve) mfeat-zernike Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.9348 ± 0.0119
Per class
Build CPU time
0.9789
Build memory
2657363114.4
F measure
0.7655 ± 0.0287
Per class
Kappa
0.7394 ± 0.0321
KB relative information score
0.7581 ± 0.031
Mean absolute error
0.0482 ± 0.0062
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7664 ± 0.0285
Per class
Predictive accuracy
0.7655 ± 0.0289
Prior entropy
3.3219
Recall
0.7655 ± 0.0289
Per class
Relative absolute error
0.268 ± 0.0343
Root mean prior squared error
0.3
Root mean squared error
0.2099 ± 0.0141
Root relative squared error
0.6997 ± 0.0469
SciMark benchmark
1732.6592