DEVELOPMENT... OpenML
Run
6944

Run 6944

Task 11 (Supervised Classification) balance-scale 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)_I80
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
0.9946
Per class
F measure
0.9212
Per class
Kappa
0.8861
KB relative information score
494.5868
Mean absolute error
0.0851
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.933
Per class
Predictive accuracy
0.9376
Prior entropy
1.3212
Recall
0.9376
Per class
Relative absolute error
0.2242
Root mean prior squared error
0.4356
Root mean squared error
0.1786
Root relative squared error
0.41
SciMark benchmark
949.003[564.29658017915111015.2555353338006484.3219757802961910.85475360997441770.2863098224536]