DEVELOPMENT... OpenML
Run
6994

Run 6994

Task 36 (Supervised Classification) segment Uploaded 21-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I160
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9758
Per class
F measure
0.9414
Per class
Kappa
0.9303
KB relative information score
2161.7021
Mean absolute error
0.0178
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.948
Per class
Predictive accuracy
0.9403
Prior entropy
2.8074
Recall
0.9403
Per class
Relative absolute error
0.0728
Root mean prior squared error
0.3499
Root mean squared error
0.1266
Root relative squared error
0.3619
SciMark benchmark
940.9239[565.76079675838591015.2555353338006484.54051677983614877.91029997546341761.152276377127]