Run
435607

Run 435607

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)_I80
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
0.9509 ± 0.0899
Per class
F measure
0.931 ± 0.0935
Per class
Kappa
0.8475 ± 0.2464
KB relative information score
0.8458 ± 0.22
Mean absolute error
0.0679 ± 0.0937
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
0.9315 ± 0.0622
Per class
Predictive accuracy
0.9316 ± 0.0977
Prior entropy
0.9349 ± 0.0618
Recall
0.9316 ± 0.0977
Per class
Relative absolute error
0.1487 ± 0.2086
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.2516 ± 0.2011
Root relative squared error
0.5271 ± 0.4251
SciMark benchmark
913.9348
UserCPU time millis
10
UserCPU time millis training
10