Run
435641

Run 435641

Task 90 (Learning Curve) credit-g 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
0.7582 ± 0.05
Per class
F measure
0.717 ± 0.0432
Per class
Kappa
0.3093 ± 0.1076
KB relative information score
0.2032 ± 0.0684
Mean absolute error
0.3249 ± 0.023
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.713 ± 0.0463
Per class
Predictive accuracy
0.7266 ± 0.0403
Prior entropy
0.8813
Recall
0.7266 ± 0.0403
Per class
Relative absolute error
0.7733 ± 0.0546
Root mean prior squared error
0.4583
Root mean squared error
0.4233 ± 0.0249
Root relative squared error
0.9237 ± 0.0543
SciMark benchmark
902.4456
UserCPU time millis
50
UserCPU time millis training
50