DEVELOPMENT... OpenML
Run
11808

Run 11808

Task 16 (Supervised Classification) mfeat-karhunen 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)_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
0.9965
Per class
F measure
0.9536
Per class
Kappa
0.9483
KB relative information score
1902.6706
Mean absolute error
0.0108
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
0.9538
Per class
Predictive accuracy
0.9535
Prior entropy
3.3219
Recall
0.9535
Per class
Relative absolute error
0.0602
Root mean prior squared error
0.3
Root mean squared error
0.0893
Root relative squared error
0.2977
SciMark benchmark
946.9947[562.83979305934711016.3265300883295483.23216931738307910.85475360997441761.7203488120049]