DEVELOPMENT... OpenML
Run
11775

Run 11775

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)_I40
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
0.9329
Per class
F measure
0.8653
Per class
Kappa
0.7276
KB relative information score
452.924
Mean absolute error
0.178
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
0.8655
Per class
Predictive accuracy
0.8652
Prior entropy
0.9913
Recall
0.8652
Per class
Relative absolute error
0.3603
Root mean prior squared error
0.497
Root mean squared error
0.3114
Root relative squared error
0.6266
SciMark benchmark
945.0614[565.76084051053911015.2555353338006483.88543266528814910.53839766977511749.866600582726]