Run
435652

Run 435652

Task 2094 (Learning Curve) adult Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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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
0.8937 ± 0.0041
Per class
F measure
0.8358 ± 0.0051
Per class
Kappa
0.5302 ± 0.0165
KB relative information score
0.3989 ± 0.0076
Mean absolute error
0.2075 ± 0.0022
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8366 ± 0.0043
Per class
Predictive accuracy
0.8447 ± 0.0037
Prior entropy
0.7938 ± 0.0002
Recall
0.8447 ± 0.0037
Per class
Relative absolute error
0.5699 ± 0.006
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3283 ± 0.003
Root relative squared error
0.7696 ± 0.0069
SciMark benchmark
929.4364
UserCPU time millis
1710
UserCPU time millis testing
70
UserCPU time millis training
1640