DEVELOPMENT... OpenML
Run
416

Run 416

Task 18 (Supervised Classification) mfeat-morphological Uploaded 07-04-2014 by Jason
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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
0.96
Per class
F measure
0.7206
Per class
Kappa
0.6917
KB relative information score
1480.5639
Mean absolute error
0.0705
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.7224
Per class
Predictive accuracy
0.7225
Prior entropy
3.3219
Recall
0.7225
Per class
Relative absolute error
0.3918
Root mean prior squared error
0.3
Root mean squared error
0.1874
Root relative squared error
0.6247
SciMark benchmark
2016.107