Run
437798

Run 437798

Task 7535 (Learning Curve) monks-problems-2 Uploaded 13-05-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_DecisionStump(12)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_DecisionStump(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I10
weka.AdaBoostM1_DecisionStump(12)_Wweka.classifiers.trees.DecisionStump

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
0.5499 ± 0.0615
Per class
F measure
0.5108 ± 0.0061
Per class
Kappa
-0.0424 ± 0.0634
KB relative information score
-0.0198 ± 0.0265
Mean absolute error
0.4465 ± 0.0082
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.427 ± 0.0047
Per class
Predictive accuracy
0.6356 ± 0.0312
Prior entropy
0.9274 ± 0.0078
Recall
0.6356 ± 0.0312
Per class
Relative absolute error
0.9907 ± 0.0197
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4775 ± 0.0074
Root relative squared error
1.006 ± 0.0149
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10