DEVELOPMENT... OpenML
Run
11744

Run 11744

Task 55 (Supervised Classification) vote 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
0.9897
Per class
F measure
0.9586
Per class
Kappa
0.9127
KB relative information score
389.6262
Mean absolute error
0.0503
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9586
Per class
Predictive accuracy
0.9586
Prior entropy
0.9627
Recall
0.9586
Per class
Relative absolute error
0.1061
Root mean prior squared error
0.4869
Root mean squared error
0.1792
Root relative squared error
0.3681
SciMark benchmark
921.9312[562.4768572750315897.9287466019721483.2321174670136907.70082742804311758.3172656914378]