DEVELOPMENT... OpenML
Run
9985

Run 9985

Task 30 (Supervised Classification) page-blocks 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)_I160
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
0.9896
Per class
F measure
0.9702
Per class
Kappa
0.8423
KB relative information score
4339.3958
Mean absolute error
0.0145
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9698
Per class
Predictive accuracy
0.9708
Prior entropy
0.6391
Recall
0.9708
Per class
Relative absolute error
0.1907
Root mean prior squared error
0.1949
Root mean squared error
0.0963
Root relative squared error
0.494
SciMark benchmark
947.8292[571.50740951456981014.4538012229739482.7975877024999916.58744620763971753.799996626104]