DEVELOPMENT... OpenML
Run
11238

Run 11238

Task 21 (Supervised Classification) car 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
0.9833
Per class
F measure
0.8939
Per class
Kappa
0.775
KB relative information score
1185.0677
Mean absolute error
0.0909
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8977
Per class
Predictive accuracy
0.897
Prior entropy
1.2099
Recall
0.897
Per class
Relative absolute error
0.3971
Root mean prior squared error
0.3381
Root mean squared error
0.1939
Root relative squared error
0.5736
SciMark benchmark
941.9425[552.84965319085751013.9200573100866482.36378704342826909.59057174132591750.9884544211457]