DEVELOPMENT... OpenML
Run
153547

Run 153547

Task 229 (Supervised Classification) SEA(50) 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
0.8493
Per class
F measure
0.8139
Per class
Kappa
0.6065
KB relative information score
391673.1801
Mean absolute error
0.3022
Mean prior absolute error
0.4739
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8136
Per class
Predictive accuracy
0.8142
Prior entropy
0.9619
Recall
0.8142
Per class
Relative absolute error
0.6377
Root mean prior squared error
0.4868
Root mean squared error
0.3847
Root relative squared error
0.7903
SciMark benchmark
947.9494
UserCPU time millis
16590
UserCPU time millis testing
1140
UserCPU time millis training
15450

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