DEVELOPMENT... OpenML
Run
9379

Run 9379

Task 22 (Supervised Classification) mfeat-zernike 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
0.9724
Per class
F measure
0.78
Per class
Kappa
0.7544
KB relative information score
1615.7236
Mean absolute error
0.0473
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7812
Per class
Predictive accuracy
0.779
Prior entropy
3.3219
Recall
0.779
Per class
Relative absolute error
0.2625
Root mean prior squared error
0.3
Root mean squared error
0.1701
Root relative squared error
0.5669
SciMark benchmark
948.2805[566.67985740389281015.7907504114269483.88543266528814912.75766683510371762.2887878368938]