Run
437797

Run 437797

Task 7532 (Learning Curve) monks-problems-1 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
0.7358 ± 0.0231
Per class
F measure
0.729 ± 0.0283
Per class
Kappa
0.4928 ± 0.046
KB relative information score
0.3306 ± 0.0298
Mean absolute error
0.3452 ± 0.014
Mean prior absolute error
0.5
Number of instances
556
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8317 ± 0.01
Per class
Predictive accuracy
0.7464 ± 0.023
Prior entropy
1
Recall
0.7464 ± 0.023
Per class
Relative absolute error
0.6905 ± 0.028
Root mean prior squared error
0.5
Root mean squared error
0.4107 ± 0.0115
Root relative squared error
0.8214 ± 0.0231
SciMark benchmark
913.9348
UserCPU time millis
10
UserCPU time millis training
10