DEVELOPMENT... OpenML
Run
153447

Run 153447

Task 29 (Supervised Classification) credit-approval Uploaded 10-02-2015 by Felicia West
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Flow

weka.RealAdaBoost_DecisionStump(1)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(1)_P100
weka.RealAdaBoost_DecisionStump(1)_H1.0
weka.RealAdaBoost_DecisionStump(1)_S1
weka.RealAdaBoost_DecisionStump(1)_I10
weka.RealAdaBoost_DecisionStump(1)_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
0.9349
Per class
F measure
0.861
Per class
Kappa
0.7189
KB relative information score
447.2337
Mean absolute error
0.1819
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8612
Per class
Predictive accuracy
0.8609
Prior entropy
0.9913
Recall
0.8609
Per class
Relative absolute error
0.3683
Root mean prior squared error
0.497
Root mean squared error
0.3109
Root relative squared error
0.6256
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10