DEVELOPMENT... OpenML
Run
9249

Run 9249

Task 23 (Supervised Classification) cmc 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
0.7366
Per class
F measure
0.5548
Per class
Kappa
0.3107
KB relative information score
361.0096
Mean absolute error
0.3551
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5571
Per class
Predictive accuracy
0.5587
Prior entropy
1.5392
Recall
0.5587
Per class
Relative absolute error
0.8241
Root mean prior squared error
0.4641
Root mean squared error
0.4255
Root relative squared error
0.9169
SciMark benchmark
949.7883[568.71232145344071015.7906865781697484.3219757802961912.12245438067161767.9939646936223]