Run
435700

Run 435700

Task 64 (Learning Curve) labor Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.RealAdaBoost_DecisionStump(2)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_DecisionStump(2)_P100
weka.RealAdaBoost_DecisionStump(2)_H1.0
weka.RealAdaBoost_DecisionStump(2)_S1
weka.RealAdaBoost_DecisionStump(2)_I160
weka.RealAdaBoost_DecisionStump(2)_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
0.9356 ± 0.1044
Per class
F measure
0.9292 ± 0.0931
Per class
Kappa
0.8434 ± 0.2589
KB relative information score
0.8412 ± 0.2291
Mean absolute error
0.0701 ± 0.0978
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9298 ± 0.0619
Per class
Predictive accuracy
0.9298 ± 0.1008
Prior entropy
0.9349 ± 0.0618
Recall
0.9298 ± 0.1008
Per class
Relative absolute error
0.1533 ± 0.2176
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.2576 ± 0.2064
Root relative squared error
0.5397 ± 0.4364
SciMark benchmark
938.0833
UserCPU time millis
10
UserCPU time millis training
10