Run
437812

Run 437812

Task 7536 (Learning Curve) monks-problems-3 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)_I160
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
0.982 ± 0.0108
Per class
F measure
0.9548 ± 0.0289
Per class
Kappa
0.9095 ± 0.058
KB relative information score
0.8358 ± 0.0482
Mean absolute error
0.0922 ± 0.0238
Mean prior absolute error
0.4992 ± 0.0003
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9551 ± 0.0278
Per class
Predictive accuracy
0.9549 ± 0.0288
Prior entropy
0.9989 ± 0.0008
Recall
0.9549 ± 0.0288
Per class
Relative absolute error
0.1847 ± 0.0476
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.1928 ± 0.038
Root relative squared error
0.386 ± 0.0761
SciMark benchmark
913.9348
UserCPU time millis
50
UserCPU time millis training
50