Run
504323

Run 504323

Task 10082 (Learning Curve) pc3 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
0.8012 ± 0.0557
Per class
F measure
0.8743 ± 0.024
Per class
Kappa
0.2751 ± 0.1337
KB relative information score
215.5718 ± 26.4932
Mean absolute error
0.1161 ± 0.021
Mean prior absolute error
0.1842 ± 0.0023
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8682 ± 0.0259
Per class
Predictive accuracy
0.8823 ± 0.0262
Prior entropy
0.478
Recall
0.8823 ± 0.0262
Per class
Relative absolute error
0.6306 ± 0.1165
Root mean prior squared error
0.3031 ± 0.0038
Root mean squared error
0.3257 ± 0.0275
Root relative squared error
1.0745 ± 0.0962
SciMark benchmark
940.4723
UserCPU time millis
890
UserCPU time millis testing
10
UserCPU time millis training
880