Run
435547

Run 435547

Task 96 (Learning Curve) diabetes 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)_I40
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
0.8091 ± 0.0516
Per class
F measure
0.7425 ± 0.0544
Per class
Kappa
0.4252 ± 0.1241
KB relative information score
0.3362 ± 0.0771
Mean absolute error
0.3024 ± 0.0309
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7415 ± 0.0549
Per class
Predictive accuracy
0.7477 ± 0.0503
Prior entropy
0.9331 ± 0.0044
Recall
0.7477 ± 0.0503
Per class
Relative absolute error
0.6653 ± 0.0683
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4156 ± 0.0337
Root relative squared error
0.8719 ± 0.071
SciMark benchmark
943.7881
UserCPU time millis
10
UserCPU time millis training
10