DEVELOPMENT... OpenML
Run
10845

Run 10845

Task 20 (Supervised Classification) mfeat-pixel 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
0.9959
Per class
F measure
0.96
Per class
Kappa
0.9556
KB relative information score
1918.4867
Mean absolute error
0.0092
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
0.9603
Per class
Predictive accuracy
0.96
Prior entropy
3.3219
Recall
0.96
Per class
Relative absolute error
0.051
Root mean prior squared error
0.3
Root mean squared error
0.0814
Root relative squared error
0.2712
SciMark benchmark
945.1768[563.20328422654151015.2555353338006478.0684770170223909.90634458777781759.4502550697425]