DEVELOPMENT... OpenML
Run
7273

Run 7273

Task 29 (Supervised Classification) credit-approval Uploaded 22-05-2014 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)_I20
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
0.9322
Per class
F measure
0.8624
Per class
Kappa
0.7217
KB relative information score
441.6589
Mean absolute error
0.1878
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
0.8626
Per class
Predictive accuracy
0.8623
Prior entropy
0.9913
Recall
0.8623
Per class
Relative absolute error
0.3803
Root mean prior squared error
0.497
Root mean squared error
0.3116
Root relative squared error
0.627
SciMark benchmark
944.3019[548.1586055520781015.52310425331483.6674820550281912.43998791392861761.7204843045454]