DEVELOPMENT... OpenML
Run
6502

Run 6502

Task 59 (Supervised Classification) iris Uploaded 15-05-2014 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)_I80
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
0.9669
Per class
F measure
0.9333
Per class
Kappa
0.9
KB relative information score
135.7807
Mean absolute error
0.0462
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.2]
Precision
0.9333
Per class
Predictive accuracy
0.9333
Prior entropy
1.585
Recall
0.9333
Per class
Relative absolute error
0.1041
Root mean prior squared error
0.4714
Root mean squared error
0.2071
Root relative squared error
0.4393
SciMark benchmark
1363.8301[1008.2315726991381235.2275201472376629.02273766965971195.36716439511252751.301407544408]