Run
437799

Run 437799

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)_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
0.9836 ± 0.0111
Per class
F measure
0.9639 ± 0.017
Per class
Kappa
0.9277 ± 0.0337
KB relative information score
0.8187 ± 0.0299
Mean absolute error
0.1047 ± 0.0153
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
0.9641 ± 0.015
Per class
Predictive accuracy
0.9639 ± 0.0169
Prior entropy
0.9989 ± 0.0008
Recall
0.9639 ± 0.0169
Per class
Relative absolute error
0.2097 ± 0.0306
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.1901 ± 0.0227
Root relative squared error
0.3805 ± 0.0454
SciMark benchmark
913.9348
UserCPU time millis
10
UserCPU time millis training
10