DEVELOPMENT... OpenML
Run
10196

Run 10196

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)_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
0.9881
Per class
F measure
0.9086
Per class
Kappa
0.8088
KB relative information score
1321.8445
Mean absolute error
0.0701
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
0.9117
Per class
Predictive accuracy
0.9115
Prior entropy
1.2099
Recall
0.9115
Per class
Relative absolute error
0.306
Root mean prior squared error
0.3381
Root mean squared error
0.1694
Root relative squared error
0.5011
SciMark benchmark
925.003[567.7866617312696934.9611384532167444.2456762215101911.17140496421141766.8500850997275]