DEVELOPMENT... OpenML
Run
154027

Run 154027

Task 3917 (Supervised Classification) kc1 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
0.774
Per class
F measure
0.8122
Per class
Kappa
0.1912
KB relative information score
-184.6592
Mean absolute error
0.2233
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8096
Per class
Predictive accuracy
0.8464
Prior entropy
0.622
Recall
0.8464
Per class
Relative absolute error
0.8535
Root mean prior squared error
0.3615
Root mean squared error
0.3362
Root relative squared error
0.93
SciMark benchmark
932.3943
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40