DEVELOPMENT... OpenML
Run
6610

Run 6610

Task 11 (Supervised Classification) balance-scale Uploaded 15-05-2014 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)_I10
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
0.9582
Per class
F measure
0.838
Per class
Kappa
0.7656
KB relative information score
345.5404
Mean absolute error
0.1703
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
0.8051
Per class
Predictive accuracy
0.8736
Prior entropy
1.3212
Recall
0.8736
Per class
Relative absolute error
0.4484
Root mean prior squared error
0.4356
Root mean squared error
0.263
Root relative squared error
0.6039
SciMark benchmark
945.4117[565.21084232176751014.1868590421574484.3219757802961903.32186243855711760.0170946291457]