DEVELOPMENT... OpenML
Run
17965

Run 17965

Task 2079 (Supervised Classification) eucalyptus Uploaded 09-06-2014 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
0.897
Per class
F measure
0.6315
Per class
Kappa
0.529
KB relative information score
392.6276
Mean absolute error
0.1789
Mean prior absolute error
0.3132
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6365
Per class
Predictive accuracy
0.6345
Prior entropy
2.2629
Recall
0.6345
Per class
Relative absolute error
0.5712
Root mean prior squared error
0.3957
Root mean squared error
0.3033
Root relative squared error
0.7666
SciMark benchmark
942.5789[559.23073532101811011.2595505536781481.71462303608115908.01528932595751752.6744042525834]